46 results about "Patient age" patented technology

A congestive heart failure (CHF) mortality risk metric is automatically generated using an implantable medical device and, if it exceeds a predetermined threshold, a warning signal is issued indicating a significant risk of mortality due to CHF, perhaps necessitating more aggressive medical therapy. The CHF mortality risk metric is calculated based on a combination of estimated ventilatory response values and the slope of heart rate reserve as a function of predicted heart rates. Ventilatory response is estimated based on detected values of actual heart rate, arterial oxygen saturation, right ventricular O₂, stroke volume, tidal volume, and respiration rate. Heart rate reserve values are derived from the actual heart rate along with patient age and rest heart rate. The predicted heart rates, which represent the heart rates the patient would achieve if healthy, are derived from activity sensor signals. The CHF mortality risk metric is then calculated as a ratio of ventilatory response and the slope of the heart rate reserve. If the CHF mortality risk metric exceeds a critical threshold value, such as 90, the warning signal is generated. Also described herein are various techniques for estimating ventilatory response.

The instantly disclosed implant is designed to resurface or partially replace (two versions) the arthritic or osteonecrotic femoral head in an anatomic fashion with maximum fixation, durability and stability. It will serve a wide range of patient ages, arthritic/traumatic deformity, and bone pathologies while providing for high performance activity. The implant has absolute fixation utilizing existing, contoured femoral head bone with or without bone cement/porous texturing, an internal plate with modular head attachment, and advantageously benefit from the concurrent use of precision guided instrumentation. This implant optimizes maximal femoral head contact with or without porous contact surfaces but does not rely purely on the head for long term stability. This new concept prevents the common failure mechanisms of femoral neck fracture, loosening and malpositioning as well as makes patient bone quality less important for this high performance hip resurfacing implant.

A medication therapy management process. The system receives input data relating to a patient profile including, but not limited to, a patients age, gender, and race; medical history; medication history; and problems such as allergies. The patient data is then compared to one or more databases according to a set of rules to produce a list of alerts that reduce the likelihood of medication misadventures.

The invention relates to a traditional Chinese medicine composition for treating dysmenorrhea in the field of Chinese patent medicine products. The technical proposal is as follows: the traditional Chinese medicine composition comprises the following raw materials in the weight portion: 25 to 50 portions of green tangerine peel, 30 to 60 portions of nutagrass flatsedge rhizome, 30 to 50 portions of radix salviae miltiorrhizae, 25 to 50 portions of auckandia root, 30 to 50 portions of chuanxiong rhizome, 20 to 30 portions of peach kernel, 30 to 50 portions of safflower, 30 to 50 portions of corydalis tuber, 30 to 40 portions of angelica, 30 to 40 portions of herba leonuri, 40 to 50 portions of cyathulae root, 30 to 40 portions of Chinese thorowax, and 40 to 50 portions of cinnamon bar. The medicine is used for treating 387 dysmenorrhea patients aged from 35 to 55 with one time curative rate of 92 percent and a relapse rate of 1.3 percent within one year. The curative rate for the relapse cases is 87.5 percent. In addition, the traditional Chinese medicine composition with low treating cost is easily generalized.

The invention especially relates to molecular markers, internal reference genes and application thereof, a detection kit and a method for constructing a detection model, belonging to the field of biotechnology. With follow-up information used for comparison, the kit provided by the invention has accuracy of 70% in predication of the risk of recurrence or death of first-visit patients with ER-positive and PR-positive breast cancers in 3-10 years after operations, wherein the prediction accuracies of a low-risk group and a high-risk group are 81.1% and 54.4%, respectively while the prediction accuracies of corresponding FFPE pathological examination results are 71.9 to 56.8%, respectively. The risk prediction model matching with the kit only needs the Ct values of the molecular markers, theage of a patient, the stage of pT and the number of LN and does not depend on other clinical pathological information, so the risk prediction model has better performance in evaluation of prognosis ofbreast cancers than simple pathological prediction results, can reduce malpractice caused by errors in pathological prediction and further improves a technical method for evaluation of prognosis of breast cancers.

The invention provides a medical text-oriented patient privacy information desensitization method, which comprises the following steps of: extracting a patient medical text, and dividing patient privacy into three types according to all appearing patient privacy data, namely a digital type, a date type and a named entity type; designing a set of regular expressions for the digital privacy data, and removing digital information including patient ages, identity card numbers, contact information, postal codes, patient hospitalization numbers and the like; designing a random migration algorithm for the date type privacy data, identifying different types of date data, and migrating the date to a certain time of several future century; adopting a hidden Markov model for the named entity type privacy data, removing privacy information such as the patient name, the doctor name and the hospital name. According to the method, the personal sensitive information of the patient contained in the medical text is effectively removed, the privacy security of the patient in the medical data publishing process is guaranteed, and the method has important significance in medical data sharing and regional medical and health information big data platform construction.

The invention discloses a diet supplementary formula and a method of nutrition supplementary food for moderate type II diabetes rehabilitation. Total dosage of nutrition supplementary food ate with normal meal every day comprises 20 g of protein powder, 6 tablets of calcium magnesium, 9 tablets of natural vitamin B and 6 tablets of deep-sea salmon oil. The nutritional substances supplemented with meals are complete and have the health-care function of enhancing immunity, relieving physical fatigue and adjusting blood fat. The invention has obvious treating effect with respect to the rehabilitation of patients aging from 40 to 50 with moderate type II diabetes.

The invention discloses an evaluation method and equipment for an electronic medical record text, and is used for solving the technical problem of lack of an evaluation method or equipment suitable for the electronic medical record text in the prior art. The method comprises the following steps: analyzing a plain text electronic medical record file to extract text data in an electronic medical record; processing the text data to obtain to-be-evaluated medical record data in a preset format, wherein the to-be-evaluated medical record data content at least comprises any one or more of the following items: a medical record number, a patient gender, a patient age, disease description information and a doctor signature; and determining a quality score of the electronic medical record text according to multiple items of content in the to-be-evaluated medical record data. According to the method, the electronic medical record text is evaluated, the defect content is conveniently positioned, and the comprehensive quality control and evaluation of the clinical electronic medical record are ensured.

The invention relates to an elderly nursing chair specially used for patients with heart diseases, which includes a seat, a backrest, a stand and two wheels, the bottom of the backrest is connected with the end of the seat, the other end of the seat is connected with the stand, and the two wheels are connected through a shaft , the connecting shaft is welded at the bottom of the seat, the seat is provided with a left arm support part and a right arm support part, a GPS positioning module is provided under the seat, and an injector is installed inside the right arm support part, and the injector is connected to multiple nozzles through a conduit , the upper part of the right arm support is equipped with a nozzle fixing plate, the control switch of the injector is set on the outer wall of the right arm support, or the nozzle fixing plate and the control switch are set on the left arm support, when the user touches the control switch , the medicament in the injector is ejected through the nozzle. In addition to basic comfort, the nursing chair of the present invention also has a positioning function. When a patient suffers from a heart attack, he can save himself in time and avoid myocardial infarction caused by a heart attack that cannot be administered in time.

The invention discloses an anesthesia depth monitoring method. The anesthesia depth monitoring method monitors anesthesia depth by detecting isoprene content in a patient's breath. By detecting the isoprene content in the patient's breath, a real-time noninvasive anesthesia depth monitoring method is established; and the established anesthesia depth monitoring method is far superior to electroencephalography monitoring from a practical point of view. When electroencephalography monitoring is being performed, brain electrodes must be attached to surface areas of corresponding brain regions of the patient; and thus, anesthesia depth cannot be monitored at the corresponding points of the brain in craniocerebral surgery and facial surgery. On the contrary, the method for monitoring the anesthesia depth by detecting the isoprene content in the patients' breath is suitable for any patients for gas sample can be extracted from the patients' breath, no matter the patients are in spontaneous breathing or machine-controlled breathing during operation, so as to be subjected to gas chromatographic analysis; and thus, the method is not limited by conditions, such as surgery type, patient age and the like.

A patient specific therapeutic composition provided in a single dose container, the total volume of which may be administered to a patient in a single treatment session. The composition includes a monoclonal antibody having a labeled fraction and an unlabeled fraction, and a pharmaceutically acceptable carrier. The label may be any of a radioisotope or a drug such as a chemotherapeutic or cytotoxic agent. The amount of the monoclonal antibody and any conjugated label molecule may depend on at least one patient specific parameter selected from a patient weight, a patient age, a patient height, a patient gender, a patient medical condition, and a patient medical history. Methods of administration, production, and articles of manufacture comprising the patient specific therapeutic composition are also disclosed.

The invention provides an air quality early warning method for a patient with a chronic obstructive pulmonary disease. The method comprises the following steps that the time, the motion speed of the patient, the accelerated speed and the distance change information of the patient are acquired, and a motion state of the patient is judged, so as to obtain the energy consumption N of a human body under the specific activity intensity level; 2) the age, sex and height characteristic parameters of the patient are acquired, and the energy E consumed in unit time is calculated by the following formula; 3) the concentration C of pollutants in air of an activity space of the patient is measured, and the daily average exposure dose ADD of the pollutants is calculated by the following formula; and 4)the health risk R of the human body exposed to a certain pollutant is calculated according to the daily average exposure dose ADD of the pollutants, the calculated health risk R of the human body exposed to the certain pollutant is compared with a risk threshold value, and if the health risk R is larger than the threshold value, an alarm is triggered to ensure the patient with the COPD to avoid the disease risk.

The invention provides a prediction system for combined prediction of gastric cancer prognosis based on patient age, nutrition index, tumor stage and tumor marker. The prediction system is constructed by taking patient age, tumor TNM stage, AFP, CA153, CA724 and nutrition index as prediction indexes, and the invention belongs to the field of prediction models. The prediction system can be used for accurately predicting the prognosis condition of a gastric cancer patient (especially a patient subjected to gastric cancer resection surgery in an I-IV stage) and accurately predicting the survival rate of the patient. The prediction system for predicting gastric cancer prognosis provided by the invention is simple in construction method and high in prediction accuracy and distinction degree, has important significance in clinically assisting in judging the prognosis condition and survival rate of gastric cancer patients, and is beneficial to individual precise treatment of clinical patients.

A method for calculating glomerular filtration rate (GFR) is revealed. A circumference of a patent's neck is measured and then is substituted into an exponential formula together with clinical factors and patient's age for estimating GFR. The present method has a better performance compared with methods for evaluating renal function by GFR available now. The methods available now have poor performance in prediction of loss of renal function at early stage. Some patients are diagnosed at an advanced stage so that they miss the opportunity of early treatment.

The invention provides a heart disease-based health prescription generation method. The heart disease-based health prescription generation method is used for determining a physical sign adjustment standard and a compression resistance grade of a patient based on a BP (Back Propagation) neural network according to the illness condition of the patient, and comprises the following steps: step 1, inputting the age, disease type, disease age, complication grade and complication disease age, long-term administration medicines of the patient; 2, determining an input layer neuron vector of the three-layer BP neural network; 3, mapping the input layer vector to a hidden layer, wherein the number of neurons of the hidden layer is m; and step 4, obtaining an output layer neuron vector. The physical sign adjustment standard and the compression resistance grade of the patient can be determined based on the BP (Back Propagation) neural network according to the illness condition of the patient, thenthe daily salt content, daily oil content, daily sugar content and heart rate bearing upper limit of the patient are determined, it is ensured that the health guidance prescription of the patient is safely and accurately generated, the body of the patient is adjusted in an all-around mode, and the demands of the patient in all aspects are met.

The invention discloses an establishing method and application for a multi-gene liver cancer prognosis grading system. The system can be used to predict survival time and recurrence probability of patients with liver cancer after surgery, regardless of the ages and tumor sizes of the patients. Samples come from a total of 378 clinical liver cancer surgery patients in a hospital affiliated to Zhejiang University School of Medicine in 2012-2018, after strict quality control of the samples, through a multi-gene quantitative real time polymerase chain reaction (qRT-PCR), the correlation between each gene and the survival time is further analyzed, and finally high-risk genes related to prognosis of the clinical liver cancer surgery patients are screened to establish the prognosis grading system. The method has the following beneficial effects: the prognosis grading system capable of predicting the survival time and recurrence probability of the clinical liver cancer patients after the surgery is established, regardless of the ages and tumor sizes of the patients, and the system can be used for postoperative survival time assessment of the liver cancer surgery patients, and assist in formulation of a postoperative treatment plan for the patients.

The invention discloses an intelligent breathing training method for a critical patient, which comprises the following steps: S1, a medical worker inputs patient conditions including age, gender, occupational condition, illness condition and treatment condition information of the patient into a central control computer, and sets a breathing training evaluation standard; s2, acquiring the heart rate of the patient in real time through an electrocardio sensor worn on the body of the patient, acquiring the oxyhemoglobin saturation and respiratory rate of the patient in real time through a pulse oxygen sensor, and acquiring high pressure, low pressure and pulse through a blood pressure sensor; s3, through an artificial intelligence algorithm, according to the condition and time of the patient, a treatment oxygen uptake condition is formulated, an oxygen solenoid valve is autonomously controlled to adjust the oxygen concentration, a heater is controlled to adjust the oxygen temperature, an atomizer is controlled to adjust the oxygen humidity, and the respiratory function of the patient is further exercised. According to the method, the breathing exercise of the critical patient is mainly carried out autonomously according to the disease recovery condition of the patient, the human body biological clock and the surrounding environment factors, and the speed of rapidly improving the health recovery of the patient is achieved.