38 results about "Personal history" patented technology

Image frames are displayed on a display panel, in order to output image data of the image frame selectively. In an image displaying method, image data of plural image frames related to a user are read from a storage DVD. Birthdate information of the user is input. Developmental period information of plural developmental periods is preset, which are consecutive in a sequence in a personal history manner. A date of photography of the image data is evaluated according to the birthdate information and the plural developmental periods, so association of the plural developmental periods with the image frames is determined in relation to the user, to sort the image frames. One of the plural developmental periods is selected. Sorted image frames are displayed on the display panel, which are sorted with the selected developmental period among the image frames.

A method and system of verifying and authenticating personal history data of a subject comprising requesting the personal history data of the subject from a data base provider, searching the data base for the personal history data of the subject, transmitting the requested personal history data to the requester, reviewing the personal history data by the subject and verifying the accuracy of the personal history data by the subject and authenticating the verified personal history data by the subject.

The invention discloses a history data processing method, a system and a computer-readable storage medium, belonging to the technical field of federated block chain. The method comprises the followingsteps: the first node in the peer-to-peer network encrypts the history data of the user A by using the public key of the user A to generate the ciphertext, and constructs the structured information containing the ciphertext, and the private key corresponding to the public key is stored by the user A; the first node broadcasts structured information to a plurality of other nodes in the peer-to-peer network. The other nodes check the structured information. If the check passes, each node in the peer-to-peer network records the structured information in its own cache. A plurality of pieces of information in the buffer, including structured information, are packaged into blocks by a designated node in a peer-to-peer network at regular intervals and written into a federated block chain. The invention can store the personal history data encrypted on the union block chain through the block chain technology and the asymmetric cryptography technology, which can not only share the whole network, but also fully guarantee the privacy and security of the data.

A computer based method for acquiring life history information from an applicant for employment to minimize positive response bias and enhance the veracity of the acquired life history information. A question collection related to at least one life event is presented to the applicant. The question collection is comprised of a revealed stem question and at least one hidden branch question, the hidden branch question being related to the stem question. Based on the stem question response, the method automatically determines whether to present at least one hidden branch question to the applicant. If a hidden branch question is presented to the applicant, the applicant's response is received and stored in the computer database. The response to the stem question and the response to the hidden branch question are predictive of a predefined negative outcome for the applicant.

The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of two or more genes, in combination, to identify individuals with increased or decreased risk of cancer. Exemplified is risk assessment for breast cancer in women. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

The invention discloses an auxiliary diagnosis system for large-scale medical records based on deep learning. The auxiliary diagnosis system comprises a cyclic neural network model, a convolutional neural network model and a fusion calculating unit. The cyclic neural network model is obtained through training the cyclic neural network based on large-scale previous medical records with a diagnosisconclusion. The convolutional neural network model is obtained through training the convolutional neural network through the artificially generated medical records, wherein the artificially generatedmedical records are based on a correspondence between diseases and symptoms in a knowledge graph and obtained through arrangement combination of disease incidence rate and symptom incidence rate. Information of gender, age, main complaint, existing disease history, previous history, personal history, family history, physique examination and auxiliary examination is input into the cyclic neural network model and the convolutional neural network model. The fusion calculating unit generates diagnosis prompt which is related with the medical record according to biological calculating results of the cyclic neural network model and the convolutional neural network model.

A method and apparatus assigns a quantative variable to each object (or set of objects) in a collection available to a user. The quantative variable is referred to as the Interest Priority Value (IPV). The IPV defines a range of states of the object, between ‘accessed’ and ‘unaccessed’, and is calculated based on one or more attributes of the object. A object with the highest IPV is the most ‘unaccessed,’ and the object with the lowest IPV is the least ‘unaccessed.’ The IPV may be used in a visual representation of the collection of objects, thereby permitting a user to readily identify and obtain those objects of greatest interest to the particular user.

The present invention discloses a system and method of providing instruction and support for a user regarding components and products of a multi-component system. A browsing interface may provide a means for providing instruction and support with regards to component and product selection. A relational database may store information on each available component and product for a multi-component system. Another advantage of the invention is the ability to develop a personal history file, thus providing customized support for each individual user in the selection of products and components.

The embodiment of the invention discloses a patient activity analysis system and method for behavior recognition based on a wearable device. The system comprises an acceleration sensor, a patient client, a data collection unit, a database server, a computing server and a doctor client, wherein the acceleration sensor is used for acquiring patient behavior information data; the patient client is used for acquiring patient personal information and performing feature selection on the obtained patient behavior information; the data collection unit is used for collecting the acquired patient behavior information and personal information and performing extraction and computation processing on the patient behavior information; the database server is used for storing a patient personal informationand daily behavior information record; the computing server is used for performing computational recognition processing on patient behavior information data; the doctor client is used for querying the patient behavior record according to a patient visit number. In the embodiment of the invention, the problem that a doctor knows patient daily activities difficultly can be solved, and the doctor can make evaluation according to the patient daily activities; a patient can conveniently view personal history activity data and get advices from their doctors.

The invention discloses a talent evaluation recommendation method based on block chain. By establishing a chunk chain between the individual and enterprise side, after the company hires personal datato transfer in the block chain and record with the data, the new curriculum vitae is added by the new company, and then the new curriculum vitae is checked by the individual, if it is in conformity with the actual situation, because the block chain is recorded by timestamp and before and after the block chain, it can not be modified, and finally makes the personal history true and effective, whichsolves the problem that human resources in today's talent market are mixed, and people often compile personal resumes and personal information, which affects the enterprise to judge the real talents.

The invention discloses an electronic program guide display method based on watching duration. The method comprises the steps that watching duration vectors of various types of IPTV service labels of a user are calculated; the use duration vector, which is corresponding to each service label, of an IPTV system service is calculated; the use duration vector of each service label forms the use duration proof, which is corresponding to each service label, of the IPTV system service; an electronic program guide acquires watching duration ratio vectors of various types of IPTV service labels of the current user according to the user ID; the IPTV service integrated watching duration ratio of a last user is calculated; and the watching duration ratios of the current user are in descending order and displayed. According to the invention, the integrated watching duration ratio calculated through the personal history watching of the users and the whole history watching of the IPTV system is used as a data basis to display personalized services for the users in the electronic program guide system, which enhances the service use experience of the users.

A method for providing user interface to manage a user's information is disclosed. The method includes steps of: providing a baseline including a meaning of time series; acquiring information on start points of time or end points of time regarding new personal histories or new personal goals if the new personal histories or the new personal goals are inputted by the user; displaying one or more main areas for indicating existence of main information to indicate that one or more contents related to the personal histories or the personal goals have been inputted at one or more positions on the baseline or around the one or more positions, wherein the one or more positions are determined to correspond to the acquired one or more pieces of information on the start points of time or the end points of time.

The invention discloses a cervical motor nerve root conduction time measuring device and method. The cervical motor nerve root conduction time measuring device comprises an information acquisition unit, a preliminary examination, calculation and analysis unit and a result archiving output unit, wherein the information acquisition unit comprises a myoelectric evoked potential instrument and a magnetic stimulation instrument, and the preliminary examination, calculation and analysis unit comprises a preliminary examination module and a calculation and analysis module. The method comprises the steps that the conduction time of the incubation periods of an M wave and F wave of the nerve is measured, and the conduction time of the motor nerves near the cervical vertebra is measured; the two periods of conduction time together with personal information, personal historical information and standard information are transmitted into the preliminary examination module of the preliminary examination, calculation and analysis unit; finally, result archiving output is carried out. The cervical motor nerve root conduction time measuring device and method solve the problem that the sensitivity and specificity are reduced due to the facts that long-range conduction significantly 'dilutes' the assessment of the conduction function of the proximal cervical nerve roots, the specificity is poor, and the long-range conduction is possibly covered by normal conduction by providing a normal value of the conduction time of the cervical nerve of Chinese Han normal people.

The invention discloses a medical information forming method and device based on a micro-ecology detection result; the method comprises the following steps: obtaining a flora abundance of a specific strain in the micro-ecology detection result; comparing the obtained flora abundance with a preset standard abundance scope of the corresponding strain, thus obtaining a comparison result; matching thecomparison result so as to obtain the risk level of a detected person suffered from a corresponding disease. The device comprises a processor and a memory. An existing method uses personal history health status, life habits and diet habits, and combines medical chemotherapy data for a series of complex information analysis; the medical information forming method of the invention can omit said process, only uses existing study data, thus fast providing medical information that comprises a disease risk evaluation result and corresponding measures and suggestions; the method is simple in processand reliable in result. The method and device can be widely applied to the medical information technical field.