59 results about "Drug classification" patented technology

The present invention is drawn to solidifying formulations for dermal delivery of a drug for treating musculoskeletal pain, inflammation, joint pain, etc. The formulation can include a drug selected from certain drug classes, a solvent vehicle, and a solidifying agent. The solvent vehicle can include a volatile solvent system having one or more volatile solvent, and a non-volatile solvent system having one or more non-volatile solvent, wherein the evaporation of at least some of the volatile solvent converts the formulation on the skin into a solidified layer and the non-volatile solvent system is capable of facilitating the topical delivery of the drug(s) at therapeutically effective rates over a sustained period of time.

The present invention is a method for assigning a qualitative importance of relevant genetic phenotypes to the use of specific drugs for individual patients based on genetic test results. The invention provides a drug-centric integration of pharmacogenetic test information across multiple genes relevant to an individual drug. The invention then assigns a color designation for each drug reported and groups the drugs together on a report according to drug class / therapeutic area, thus allowing the physician to easily and quickly identify a drug from a specific drug class that would be best for that patient according to their entire pharmacogenetic test results. The outputs of the method can be added to existing pharmacogenetic test reports as a quick guide for the physician. Such integration of pharmacogenetic information from multiple genes and drug-centric organization of the outputs should allow physicians to more easily utilize and incorporate pharmacogenetic testing into their practice.

A handheld medication dosage calculator (100) and method for comparing an inputted, ordered medication dosage with a known medication dosage range in a database including an input device for inputting a desired drug name, indicating whether the drug is for a child or an adult, an amount of the drugs that are ordered, the body weight or body surface of the patient, an amount of drug available in standard packaging, and the available volume associated with the available drug and a computing mechanism for determining the dosage of the drug to be delivered. The handheld medication dosage calculator (100) provides warnings when the inputted amount of drug exceeds the dose range limits or is incorrect. The handheld medication dosage calculator (100) converts an inputted drug unit of measure into a desired unit of measure. The handheld medication dosage calculator (100) lists generic drug names, trademarked product names, drug classifications and cautionary drug warning information.

The invention provides novel scoring patterns for a wide variety of tablets that contain specific drugs or contain drugs in certain drug classes, and methods of treatment with layered tablets and fractional tablets derived from breaking said tablets.

Compositions, methods, and combination therapies for the treatment of cancers, including lymphomas, leukemias, melanomas, lung cancer, and metastatic disease, are provided. Specifically, compositions comprising ligands to Pgrmc1 are disclosed for use in treating and inhibiting tumor growth and progression and inhibition of metastases. The compositions and methods using these ligands can be used alone or in combination with other reagents and cancer treatment modalities.

Methods for simultaneously detecting multiple drug classes in a biological sample are described herein. In one embodiment, the biological sample is taken from an animal, such as a human. Suitable classes of drugs include drugs prone to abuse and prescription medications. In one embodiment, the biological sample is enzymatically hydrolyzed to liberate free drug in the sample. Once the biological sample has been prepared, the sample is extracted using solid-phase extraction (SPE). Following solid phase extraction (SPE), the resulting eluate containing the compounds to be detected is diluted and injected into a liquid chromatograph coupled to a triple quadrupole mass spectrometer. Multiple classes of drugs can be analyzed simultaneously in less than about 13 minutes, preferably less than about 11 minutes, more preferably less than about 10 minutes, more preferably less than about 9 minutes, most preferably less than about 8 minutes.

A current system allows data-driven hypothesis generation to identify therapeutic candidates for a disease phenotype treatment by identifying drugs and clinical indications associated with lower occurrences of disease-associated phenotype(s) by a drug / drug class. A current system may include a pharmaceutical hierarchical ontology; a phenotype hierarchical ontology; a record database comprising clinical event records; a database mining engine; and a mapping engine. The database mining engine may iteratively progress through a portion of the pharmacological hierarchical ontology and phenotype hierarchical ontology to iteratively select pairs of cohort entries from each ontology; and for each pair of cohort entries, query the clinical record database for matching records. The mapping engine may map each pair of cohort entries into a matrix comprising a drug-event cell for each pair and apply a value thereto representing the number of database records matching items returned by the database mining engine for the corresponding cohort entries.

The invention relates to the technical field of medical drug informatization, in particular to a medical formulation and drug prescribing procedure and method. The medical formulation and drug prescribing procedure and method comprises a formulation, six content of the formulation, the drug prescribing procedure and method and drug classification declaration. The medical formulation and drug prescribing procedure and method is characterized in that a patient sees a doctor, the diagnosis doctor make a definite diagnosis of the state of an illness and provides drug use advice, the patient selects drugs according to the drug classification declaration, and the diagnosis doctor, a pharmacy or a pharmacy pharmacist affirms the drugs. The medical formulation and drug prescribing procedure and method has the advantages that a novel doctor-patient relationship and a novel medicine-patient relationship are set and perfected, a traditional mode including doctor seeing, diagnosing, prescribing, paying and drug taking is changed, the doctor seeing and drug use self-choice right of the patient is intensified, the doctor-patient relationship and the medicine-patient relationship are optimized, and the doctor seeing satisfaction degree of the patient is increased favorably.

The invention provides novel scoring patterns for a wide variety of tablets that contain specific drugs or contain drugs in certain drug classes, preferably doxepin.

The invention discloses a drug classification method, device and equipment and a storage medium, and relates to the field of artificial intelligence technology deep learning and knowledge maps. According to the invention, the specific implementation scheme is that the method comprises the steps: obtaining drug identifiers of to-be-classified drugs; based on the drug identifier and a pre-trained drug classification model, determining a classification label of the to-be-classified drug. According to the invention, related data of drug identification is input into a pre-trained drug classification model; the classification labels are output by the medicine classification model, so the process of manually classifying the medicines is avoided, the problem that the classification labels of the multi-component compound medicines cannot be determined due to the fact that the classification labels are determined according to the medicine components in the prior art is solved, and the medicine classification efficiency and accuracy are effectively improved. The scheme can adopt a cloud service mode and is specifically applied to the aspect of medical big data.

The embodiment of the invention discloses a drug classification method and device, terminal equipment and a storage medium. The method is suitable for digital medical treatment, and comprises the following steps: obtaining an attribute feature vector of each atom in a to-be-detected drug molecule and an attribute feature vector of a virtual atom; and constructing an adjacent matrix according to the connection relationship between the virtual atom and each atom in the n atoms and the connection relationship between the atoms in the n atoms, and constructing an atom attribute feature matrix according to the attribute feature vectors of the n atoms and the virtual atom; inputting the adjacency matrix and the atom attribute feature matrix into a graph neural network to determine a transfer feature matrix of n atoms and virtual atoms through the graph neural network; and determining a molecular feature vector corresponding to the to-be-detected drug molecule according to the transfer feature matrix, and inputting the molecular feature vector into a classifier to output the drug category of the to-be-detected drug molecule through the classifier. By adopting the embodiment of the invention, the accuracy of drug classification can be improved.

The embodiment of the invention discloses a drug classification method and device, computer equipment and a storage medium. The method comprises the steps that target feature word vectors representingthe illness state of a user and using drugs are acquired according to case information of the user; inputting the target feature word vectors into a preset drug classification model, the drug classification model being an unsupervised training model for clustering by calculating distances between different feature word vectors; According to the clustering set of the used drugs output by the drugclassification model, performing classification annotation on the used drugs, the classification annotation being at least one high-frequency word in the clustering set of the used drugs. According tothe classification mode, the medicine classification efficiency can be improved, the corresponding relation between the medicine and the illness state can be further enhanced by adopting the case information, and the accuracy of the classification result is improved.

The invention discloses a low-temperature long-term storage box for drug classification. The low-temperature long-term storage box comprises a cabinet body and a base which is located below the cabinet body; the interior of the base is hollow, and air inlets are formed in the two sides of the base; and an opening communicating with the interior of the cabinet body is formed in the center of the top of the base. According to the low-temperature long-term storage box for drug classification, through arrangement of an electronic lock, drug taking by non-medical staff is effectively avoided, the safety is high, and the temperature, humidity and the weight situation of stored drugs inside all drawers inside a box body can be real-timely detected through a single chip microcomputer; air inside the box body is replaced through an exhaust fan, and thus it is ensured that the air humidity for drug storage is constant; independent low-temperature and constant-temperature control over all the drawers is achieved through a semiconductor refrigeration technology to ensure the situation that the drugs can be stored for a long term, it is ensured that all the drugs each have the most suitable storage temperature, and drug properties are not influenced between the drugs; and meanwhile a wireless transmitting function is achieved, related personnel can accurately master the storage capacity, temperature and humidity information, and use is convenient.

The invention relates to a medical staff and patient online association and medicine management system. The system comprises a medicine management subsystem, a medicine online classification subsystemand a medical staff and patient association subsystem. The server is in communication connection with the medicine management subsystem, the medicine online classification subsystem and the medical staff and patient association subsystem. According to the medicine management and classification and medical staff and patient association system provided by the invention, statistics of the number ofhospital patients and medicine requirements is realized; complex classification of a traditional GSP or ERP system is avoided, medicine classification is facilitated, and operation is easy and convenient; corresponding medical staff can be effectively allocated and associated to a patient, and the workload of medical staff can be reasonably arranged; medical resources are saved, and meanwhile medical accidents are avoided as much as possible.

The invention provides a medical drug change device with a conveniently adjusted tray, and belongs to the field of medical instruments. The medical drug change device comprises a movable device and adrug change device, an instrument placement screen plate is arranged in an instrument placement cavity by a supporting block, a first ultraviolet sterilizer is arranged at the inner upper end of the instrument placement cavity, the screen plate is arranged above a spiral heating pipe, an air outlet catheter is arranged at the right end of a negative ion sterilizer, drug classification grids are arranged at the bottom of an inner cavity of a drug placement cavity through fixing plates, and a garbage placement cavity is arranged on the lower side of the inner cavity of a drug change box. Condenser pipes are arranged at the inner left end and the inner right end of the drug placement cavity, the temperature of the drug placement cavity is controlled at a low temperature by the condenser pipes, special drugs are conveniently stored, and the instrument placement cavity and the drug placement cavity are sterilized as the air outlet catheter is arranged at the right end of the negative ion sterilizer. The device has the advantages of simple manufacturing process, strong practicability and convenience in drug change.

The invention relates to an embedded type graded drug release three-dimensional rack and a preparation method of the rack. A rack inner-layer shaped body with high porosity is wrapped by a rack outer-layer shaped body with low porosity to form an embedded bi-layer structural rack. The classes of drugs carried by the inner layer and the outer layer of the rack are different. The graded distribution of drug classes and the graded distribution of rack microstructures are realized in the same rack, thereby obtaining the embedded two-graded drug release artificial rack. The preparation process of the multi-graded drug release rack comprises the three steps, namely, (1) freeze-forming of the drug carrying rack inner-layer shaped body; (2) freeze-forming of the drug carrying rack outer-layer wrapping shaped body; and (3) drying the embedded rack in a low temperature and vacuum. In the embedded multi-layer rack prepared in the invention, the content of calcium phosphate and the drug classes in a composite slurry used in each layer of the rack are respectively different; the degradation rate of the rack is related to the solid content of solid phase; as the solid content of the slurry is different, the degradation rate of the prepared rack is different; and the release rate of the drug is influenced by the rack degradation.

The invention discloses a knowledge graph method, a medical advice quality control method and device, electronic equipment, a storage medium and a computer program product, and relates to the field of artificial intelligence, in particular to a deep learning technology. The method particularly includes: conducting entity recognition on medical related data, and at least two medical entities are obtained; determining a drug classification label associated with the medical entity; and constructing a medical entity relation graph according to the medical entities and the drug classification labels. According to the embodiment of the invention, by establishing the medical entity relation graph, the relation between the symptom entity and the medicine is accurately determined, and a basis is provided for medical advice quality control.

The invention belongs to the technical field of computers, and relates to an indication information processing method and device, a computer readable storage medium and electronic equipment. The method comprises the steps of obtaining indication information of to-be-classified drugs, and performing word segmentation processing on the indication information to obtain a word sequence; performing vector conversion on the word sequence according to the word vector model to obtain a first word vector sequence; obtaining a second word vector sequence of classified indication information in the medicine semantic library, and determining the similarity between the first word vector sequence and the second word vector sequence by utilizing the twin long short-term memory network model; and determining drug categories corresponding to the indication information according to the similarity so as to classify the to-be-classified drugs. According to the method, on one hand, the problem of drug similarity is solved from the semantic level, the sentence classification precision is improved, and the drug classification accuracy is improved; on the other hand, automatic classification of the medicine is achieved, a basis is provided for reasonable medicine use and intelligent fee control, and a large amount of manpower is saved.

The invention discloses a drug association graph construction method based on network science and a convolutional neural network. The method includes the following steps that: feature extraction is performed on drug information, and a function association network between drugs is constructed through a convolutional neural network method on the basis of initial drug classifications given by pharmacists; a drug co-sale association network is constructed through a network science method on the basis of drug sales data; and the function association network and the drug co-sale association networkform a two-layer composite network, and comparison analysis is performed through the network science method, and a complete drug association graph is obtained; and the graph is visualized by means ofdimensionality reduction and graph embedding. With the drug association graph construction method based on the network science and the convolutional neural network of the invention, drug association relations can be automatically extracted from the drug sales data accurately and efficiently; and the association graph of drugs can be visually displayed, and users can know the drugs at a glance.

The invention relates to the technical field of medical appliances, and particularly relates to an integrated medical treatment vehicle. The integrated medical treatment vehicle comprises a frame, thefour corners at the bottom of the frame are respectively provided with universal wheels, and one side of the frame is provided with a push-pull handrail. The integrated medical treatment vehicle is characterized in that the frame is sequentially separated from top to bottom into a medicine storage cavity, a sundries storage cavity and a garbage storage cavity from top to bottom. The integrated medical treatment vehicle has the advantages of large storage space, ingenious design in the medicine storage box, and integration of drug classification, garbage collection, article charging, night nursing and the like, and can improve the service quality of the whole medical care.

The invention relates to a medicine taking reminding medicine box. The medicine taking reminding medicine box achieves medicine taking reminding of a user and ensures timely and safe medicine taking.Classified storage of medicine is provided through the arrangement of a medicine bin, and the function of reminding on-time medicine taking can be provided through auditory and visual signals. Furthermore, a remote data transmission means is used for carrying out interactive communication transmission on medicine box information, a user terminal and the like, an additional medicine taking monitoring management function is provided, on the basis, and an electrocardiogram monitoring device integrated on the medicine box can be combined to send electrocardiogram monitoring data of a user in realtime, so that richer health management functions are provided.

The invention provides a dual-band spectrum identification method (DWAE-ELM) based on an auto-encoding network and an extreme learning machine aiming at the classification problem of near infrared spectrum data of medicines, the method combines the advantages of an AE method and an ELM method, the AE is used for extracting two-dimensional characteristics of the near infrared spectrum data of the medicines, and the ELM is used for classification according to the characteristics. The DWAE-ELM network is structurally divided into two independent stages: in the first stage, a three-layer AE network is adopted to extract sparse features of two-dimensional input data after dual-band transformation to perform unsupervised multi-level feature representation; and in the second stage, the original ELM is used for performing a final medicine classification task. According to the method, the advantages of high feature extraction capability of the self-encoding network and high ELM training speed are combined, the accuracy and stability of drug classification are improved, and compared with other methods, the model training time is greatly shortened, the method is not sensitive to the size of a training set, and the robustness is higher.

The invention discloses a drug classification device beneficial for isolating drugs away from air. The drug classification device comprises a box body, wherein two sides of the lower end of the box body are fixedly connected to the upper ends of square rod pieces; the outer corresponding part of a fourth rotating shaft is rotatably arranged at the upper sides of the inner corresponding ends of cubic pieces by virtue of a rotating shaft groove; the middle of the lower end of each cubic piece is fixedly connected to the lower end of a telescopic rod; the lower end of each telescopic rod is fixedly connected to the middle of the upper end of a plug body; the upper end of each plug body is fixedly connected to the lower end of a fourth spring; and the upper end of each fourth spring is fixedlyconnected to the upper end of the inner side of a telescopic drum. When the drug classification device needed to be moved, a pull-back plate is pulled back, so that a movable sleeve is moved upwardsand away from the ground, and then the drug classification device beneficial for isolating drugs away from air can be moved conveniently; the pull-back plate is turned, so that a round plate piece isdriven to turn to the upper ends of article fetching holes, and then the pull-back rod is loosened, so that the article fetching holes are just blocked by the round plate piece; therefore, the excessive contact of the nursing drugs, which can get invalid easily, with the external air is prevented, and the quality of the nursing drugs, which can get invalid easily, is protected.

An embodiment of the invention provides a method and device for identifying doctors who prescribe drugs abnormally based on local outlier factors. The method comprises the steps: obtaining drug classdata of drug prescribed by each doctor; according to the drug class data, determining a feature vector of the drug prescribed by each doctor; preprocessing the feature vector, and calculating a localoutlier factor value of the doctor according to the preprocessed feature vector; and according to the local outlier factor value, identifying the doctors who prescribe the drugs abnormally. The methodis implemented by the device. According to the method and device for identifying the doctors who prescribe drugs abnormally based on the local outlier factors, by obtaining the drug class data of thedrug prescribed by each doctor, determining the feature vector of the drug prescribed by each doctor, preprocessing the feature vector and calculating the local outlier factor value of each doctor according to the preprocessed feature vector and identifying the doctors who prescribe the drugs abnormally, the doctors who prescribe the drugs abnormally can be identified accurately, simply and conveniently at low cost.

The invention discloses a drug supply method of a drug vending machine based on a user behavior, which comprises the following steps: step 1, constructing a drug class library at a cloud end; step 2,generating a drug class library at a cloud end; step 3, generating a drug class library at a cloud end; and step 4, generating a drug class library at a cloud end. 2, obtaining text information inputby a user, extracting keywords, defining and obtaining a user demand degree label; 3, analyze that user demand degree label of different regions in different periods, predicting the probability of theus's subsequent demand for one or several drugs by using a logistic regression algorithm, generating a suggestion list at the control center terminal, and supplementing the drugs of the vending machine according to the suggestion list. The invention reasonably handles the supply and demand relationship of drugs from the perspective of the user, and focuses on the supply of drugs, so as to betteroperate the drug vending machine system. The invention also discloses an automatic medicine vending machine, which is characterized in that the medicine supply system adopts the medicine supply methodof the medicine vending machine based on the user behavior.

The invention relates to the technical field of WeChat applet platforms, in particular to a drug classification method based on WeChat applet platform left-right structure hierarchical display and rapid loading. The method comprises the steps that when a user enters a classification page of a left-right structure, additional data on a remote server is read immediately through an httpGet method andcached into the local, and if entering the classification page again, the user only needs to read the local cache data. After caching, obtained parent data is bound to a left view and traversed, anda change Right Tab event is bound to a left sub view; then it is achieved that sub-classification data is obtained according to the clicked index and id on the left through a change Right Tab method,and the sub-classification data is bound to a View on the right side, thereby achieving the concise and quick classification display. The drug classification method based on the WeChat applet platformleft-right structure hierarchical display and rapid loading solves the problem of slow and disorderly drug classification display in the WeChat applet.

The invention discloses an automatic dispensing system for a central pharmacy, which comprises a dispensing box placed on a movable cart and a docking device placed in a ward, the medicine dispensing box comprises a medicine storage device used for storing medicines in a classified mode, a conveying device used for distributing the medicines according to medical advices, a packaging device used for packaging the distributed medicines and distributing the medicines to patients and a medicine discharging device used for automatically taking out the packaged medicines, and a controller with a display screen and a loudspeaker is arranged on the medicine dispensing box. The side wall of the medicine dispensing box is fixedly connected with a code scanner used for recognizing and inputting patient information, the code scanner is electrically connected with the controller, and the controller controls the medicine storage device, the conveying device and the packaging device to operate according to the patient information so as to dispense medicine for patients. The difficulty of dispensing is reduced, the whole process is time-saving and labor-saving, and the life health and safety of a patient are ensured.

A system and method for classifying a sample are provided. The system includes a housing containing the sample, a sensing element to measure at least one physical parameter of the same, and a processor configured to receive and analyze the physical parameter measurement, and to determine if the sample can be classified based on the measurement. If the sample cannot be classified, the processor selects and applies other analytical techniques until the sample is classified. The method includes selecting an analytical technique to apply to a sample, applying the technique to the sample, obtaining the results of the analytical technique, and determining if the sample can be classified based on the analytical technique. The method further includes selecting and applying further analytical techniques if the sample was not classified, until the sample is able to be classified.

A drug classification system using a generic group code and a universal drug number is developed to determine whether the drug comprises a single formulation or a composite formulation using the generic group code, understands an administration type, dose and / or formulation type of the drug, registers a universal drug number for the drug in association with the generic group code, traces back the generic group code from the universal drug number, and identifies a company name and a trade name of the drug which in turn rapidly and easily recognizes the drug; and, in addition, a drug classification method using the same. The system may manage the generic group code and the universal drug number in association with the company code, thereby enabling quick and exact management of drug information.