214 results about "Patient group" patented technology

The specification describes the use of selected DPP IV inhibitors for the treatment of physiological functional disorders and for reducing the risk of the occurrence of such functional disorders in at-risk patient groups. In addition, the use of the above-mentioned DPP IV inhibitors in conjunction with other active substances is described, by means of which improved treatment outcomes can be achieved. These applications may be used to prepare corresponding medicaments.

A network compatible user interface system and method are presented for supporting navigation through patient medical information. The system comprises a communication processor for acquiring a patient group identifier allocated to a grouping of patients and for acquiring medical information associated with the patients. A display generator operates to generate a composite display window incorporating a first window including the patient group identifier and a list of patients in the grouping and a second window for displaying different medical information corresponding to different medical applications. The different medical information is associated with patients within the patient grouping. A display navigation processor maintains the first window display while displaying different medical information in the second window in response to user navigation between the different applications.

A network for mediating the peer-to-peer transfer of digital patient medical data includes a plurality of distributed agents each associated with a health care provider and connected to a central system. Periodically the agents collect local information relating to patient medical files and / or data streams, for example diagnostic images and associated reports, and process that information into metadata files acting as pointers to the original files. The metadata files are transmitted to the central system where they are parsed and the attributes are stored on the central system in patient records with records from the same patient grouped together whenever possible.Registered users can search the central system, even in the absence of a unique identifier, to identify patient records pointing to the remote patient medical files. Upon finding a patient medical file, the invention provides a streamlined process for communicating access authorization from the patient to the hospital or facility storing the medical files. Once patient authorization is received, secure processes are provided for transferring the data in its entirety to or for viewing by the user in a peer-to-peer fashion.

A network for mediating the peer-to-peer transfer of digital patient medical data includes a plurality of distributed agents each associated with a health care provider and connected to a central system. Periodically the agents collect local information relating to patient medical files and / or data streams, for example diagnostic images and associated reports, and process that information into metadata files acting as pointers to the original files. The metadata files are transmitted to the central system where they are parsed and the attributes are stored on the central system in patient records with records from the same patient grouped together whenever possible. Registered users can search the central system, even in the absence of a unique identifier, to identify patient records pointing to the remote patient medical files. Upon finding a patient medical file, the invention provides a streamlined process for communicating access authorization from the patient to the hospital or facility storing the medical files. Once patient authorization is received, secure processes are provided for transferring the data in its entirety to or for viewing by the user in a peer-to-peer fashion.

A method uses body images and computer hardware and software to collect and analyze clinical data in patients experiencing pain. Pain location information is obtained by the drawing of an outline of the pain on a paper copy or electronic display of the body image. Composite images are generated representing aggregate data for specified patient groups. The coordinates of common anatomic landmarks on differently designed body images are mapped to each other, permitting integrated analysis of pain data, e.g., pain shape, centroid, meta centroid, from multiple body image designs and display of all pain data on a single body image design. Differences and similarities between groups of patients are displayed visually and numerically, and are used to assign the probability of a given patient belonging to a particular diagnostic group or category of disease severity.

Provided is a brain activity training apparatus for training to cause a change in correlation of connectivity among brain regions, utilizing measured correlations of connections among brains regions as feedback information. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group (S102), correlation matrix of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed (S104) by regularized canonical correlation analysis on the correlation matrix and attributes of the subject including a disease / healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis through sparse logistic regression, a discriminator is generated (S108). The brain activity training apparatus feeds back a reward value to the subject based on the result of discriminator on the data of functional connectivity MRI of the subject.

A method of improving clinical trial recruitment and retention includes creating patient trial scores based on ranking of patient traits or characteristics, creating patient clusters based on statistical similarity and allocating clinical trial navigation resources to patients groups based on need as indicated by cluster rankings.

A method of identifying insights related to the occurrence of an adverse health outcome of interest, comprises extracting electronic clinical data associated with historical healthcare encounters. The method also comprises defining patient groups based upon similar data patterns present in the extracted electronic clinical data wherein the patient groups have varying likelihood for the adverse health outcome. Still further, the method comprises deriving hypothesized etiological explanations for why one or more patient groups have higher likelihood when compared to other patient groups. Optionally, the method comprises identifying clinical interventions that are intended to reduce the likelihood of the adverse outcome for certain patient groups.

Provided is a method of analyzing brain activities for realizing a biomarker for neurological / mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease / healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

The invention provides an Alzheimer's disease detecting system based on electroencephalogram signals. An electrode cap comprises 16 conducting electrodes used for collecting 16 conducting signals of the human body scalp, the electrode cap and a UEA-FZ electroencephalogram amplifier are connected through a PCI parallel interface, and the collected signals are imported into the UEA-FZ electroencephalogram amplifier; the UEA-FZ electroencephalogram amplifier amplifies and records the 16 conducting electroencephalogram signals, and the recorded signals are imported into a data analysis system; the data analysis system comprises an EEGLab module, a signal processing module and a detecting module, the three modules are connected to detect abnormal electroencephalogram signals. The invention provides an Alzheimer's disease detecting method based on the electroencephalogram signals. The Alzheimer's disease detecting system has the advantages of effectively distinguishing the electroencephalogram difference between a control group and a patient group, and being capable of effectively differentiating the control group and the patient group by calculating worldlet degree and analyzing significance, and the Alzheimer's disease is effectively detected.

The present invention is a cognitive test assessment tool and system incorporating either a single test or a test battery and a method of utilizing said tool and system. The tool may be compiled and ordered to addresses the particular assessment needs of patients groups determined in accordance with a diagnosis. The tool may incorporate an electronic device operable to provide elements of the test battery and to store information and / or transfer information to a storage means. Data regarding the process of the test battery, as well as that pertaining to the results of the test battery, can be captured in real time and stored locally and / or remotely. Said data may be assessed and may be utilized for reporting purposes. The data may be transferred to, or accessed by, other institutions in a format that is readable at the remote institutions and is consistent with circle of care regulations.

A system and method for patient stratification include determining a first set of patient groups from patients in a patient similarity graph based on a similarity structure of the patient similarity graph. A second set of patient groups is identified based on expert domain knowledge associated with the patients. Patients in the first set and the second set are aligned using a processor to stratify patients.

A medical-technical identification device for identifying a sterile product and a method of identifying such a product are provided. The product may be intended for one-time-use only, when connected to a piece of medical equipment. A fixedly mounted information carrier is adapted to deliver or to offer specific product information in a contactless fashion to a reading element connected to the medical equipment. The function of the identification device is improved so that even specific data can be forwarded to the medical equipment such as an infusion-type fluid pump. Thus operation of the pump may be reprogrammed, for example, to change the calibration factor or the operation mode or to change irrigation depending on the patient group to undergo surgery.

Embodiments of the invention disclose an infectious disease tracing method and device, equipment and a storage medium. The method comprises the following steps: acquiring a target patient group according to diagnosis and treatment data of an infectious disease; acquiring telecommunication trajectory data of a target patient group; constructing a propagation relation chain according to the telecommunication trajectory data; and finding out the infection source of the infectious disease based on the propagation relation chain.

The invention discloses a colon cancer marker. The colon cancer marker comprises the microorganisms of rare pediococcocci Subdoligranulum_4_3_54A2FAA and polymorph bacilli Bacteroidses. The invention further discloses a method and device for determining individual states through the colon cancer marker. Compared with healthy individuals and groups, the colon cancer marker is remarkably enriched in patient groups with colon cancer, thereby being capable of serving as a distinguishing mark for healthy groups and patient groups with colon cancer.

The invention provides a two-dimensional code-based navigation method in a hospital and a server applied to preset of navigation map database. The method comprises the following steps: receiving a navigation request transmitted by client equipment, and generating current location information and each target location information according to the navigation request; drawing each navigation map from the navigation map database according to the current location information and each target location information; acquiring the pre-waiting time corresponding to each target location information, and generating a recommended priority of each navigation map based on the pre-waiting time; and pushing each navigation map to the client equipment according to the sequence of the priority. In the embodiment, during navigation in a hospital, the navigation accuracy is ensured, and a relatively reasonable path is planned, and the effect of reasonably distributing patient groups can be achieved, so that the method flow is simplified, the user experience is effectively promoted, and medical equipment is prevented from being interfered.

The invention discloses a multidimensional vein extracting method based on a brain nuclear magnetic resonance image. An area-of-interests in the brain nuclear magnetic resonance image is segmented through a region growing method. Vein characteristic parameters of the area-of-interests are extracted through a Curvelet conversion and Contourlet conversion method. The people comprise an Alzheimer patient group, a mild cognitive impairment patient group and normal old people group, the vein characteristic parameters of the area-of-interests comprise entropy, gray average, correlation, energy, the homogeneity degree, variance, the maximum probability, deficit distance, an inverse gap, clustering tendency, contrast, a sum mean value, a difference mean value, a sum entropy and a difference entropy. The area-of-interests comprises a entorhinal cortex are and a sea horse area.

The invention provides an intelligent diagnosis technology based on knowledge map reasoning. The technology is based on the knowledge map, the content of the knowledge map comprises six entities including symptoms, diseases, the position, medicines, section offices, patient groups and the association relationship among the entities, and the relationship between the diseases and the symptoms is thequantitative relationship. After selecting the sex and the correlation symptoms by a user, firstly, impossible diseases are filtered out through the sex, secondly, possible diseases of the user are predicted based on the algorithm, and lastly, the relevant medicine information is recommended according to the diseases. The algorithm is a calculation method mainly proposing symptom purity and the disease information entropy. The intelligent diagnosis technology is advantaged in that a problem that the traditional inference technology based on rules can not realize accurate and flexible diagnosis can be effectively solved, and intelligent disease diagnosis can be realized on the condition that basic user attributes are not completely understood.

A method for selection and treatment of externally caused migraine headache, the method includes identifying a patient group having chronic migraine headache; determining the identified patient group, a specific patient with a post traumatic migraine headache; and administering to the selected patient by injection of a therapeutically effective amount of a Botulinum neurotoxin in a pharmaceutically safe form to the selected patient's head or upper neck; administration preferably being on the sites of the trigeminal cervical system, enabling axonal transport of the neurotoxin from distal to central sites; and the administration preferably comprising extramuscular injection of the neurotoxin of suitable dilution (a) over the aponeurotic fascia, or (b) intra-orally, in a foramina of the sphenopalatine ganglion, or (c) to emerging exit points of nerves including foraminal sites.

The invention relates to a brain default network directed connection analysis method based on motif structures. The method includes: performing format conversion, preprocessing and low-frequency filtering on a brain fMRI image, and matching the image with a standard partition template; performing ALFF calculation on the fMRI image, extracting a time sequence of a related brain region for a Granger causal analysis, and establishing a default network; searching existed motif structures in the network, and determining the kind and quantity of the motifs; determining the importance degrees of the motifs in the default network directed connection according to indexes such as a p value and a Z score; calculating the node degrees in the motifs and the average distance of the motifs, and analyzing the effect and the information transfer rate of the brain region in the motifs and the default network; and conducting statistical analyses on a patient group and a normal person group, and finding obvious differences of the default network directed connection through the distribution condition of the motifs. According to the method, the functional differences of the default networks between patients with brain diseases and normal person can be distinguished, and a certain reference value is provided for diagnosis and treatment of the brain diseases.

A method and apparatus for analysing data allowing accurate, up to date analysis of the performance of hospitals or hospital trusts as the data is entered into the system. The method and apparatus is optimised for analysing data in such a way as to produce graphical representations allowing easy recognition of groups of patient having or hospitals producing outcomes which have significantly diverged from the desired outcome. The method involves filtering data held within databases to retrieve data belonging to the patient group that is to be analysed. The filtered data is then analysed using statistical calculations and a representation of the analysis is returned to the user for review.

The invention relates to a method for recognizing a spatial difference by utilizing a complex number fMRI (functional magnetic resonance imaging) space source phase, belonging to the technical field of biomedical signal processing. The method comprises the following steps of carrying out spatial ICA (independent component analysis) separation on complex number fMRI data, choosing an interesting ingredient, then performing phase correction and noise elimination to obtain the spatial source phase of the interesting ingredient, and finally, calculating through a variance homogeneity analysis anda variance difference coefficient so as to recognize the differences of SZs and HCs in the spatial source phase. Compared with widely applied amplitude data, the method utilizes the spatial source phase to recognize the spatial difference between a schizophrenia patient group and a healthy control group, and can display higher flexibility and reliability. For example, specific to complex number fMRI data of 82 testees in a quiescent condition, the spatial source phase is used for extracting differential voxel, which is increased by more than 122.95% in DMN, on the premise of not using FDR correction, and the differential voxel, which is extracted from the spatial source phase and can pass the FDR correction, is 69% more than the amplitude.

The present invention provides a CTL inducer composition which comprises one or more peptides selected from the group consisting of the peptides of SEQ ID NOS: 1 to 27 in the Sequence Listing, and can be used for the treatment or prevention of cancer or a hepatitis C virus-related disease in two or more patient groups selected from the group consisting of an HLA-A2 positive patient group, an HLA-A24 positive patient group, an HLA-A26 positive patient group, and an HLA-A3 supertype positive patient group.

The invention discloses a big data-based patient grouping method and a big data-based patient grouping device. The big data-based patient grouping method comprises the following steps: at least two target patient characteristics are extracted from a medical record home page; the similarity measurement learning is carried out on the at least two target patient characteristics to obtain corresponding measurement matrixes; the diagnosis-related grouping is carried out on the medical record home page based on the corresponding metric matrix to obtain a patient grouping result. By adopting the patient grouping method based on the big data, the accuracy of patient grouping can be improved.

The invention relates to a construction method of a uremia peripheral blood mononuclear cell long-chain non-coding ribonucleic acid difference expression spectrum model, which comprises the following steps of: A1, obtaining the in vitro test peripheral blood samples of the uremia patient group and the normal control group and respectively obtaining gene chip data for each test peripheral blood sample; and A2, uploading the gene chip data of each test peripheral blood sample to gene chip data analysis software, setting the normalized standard and data filtering ratio times, obtaining the difference expression gene and obtaining the uremia peripheral blood mononuclear cell long-chain non-coding ribonucleic acid difference expression spectrum model. Through the scheme, the information as themiddle results is provided for the study on the uremia, and in addition, a novel idea is provided for further disclosing the pathological mechanism of the uremia. In addition, the invention also relates to the uremia peripheral blood mononuclear cell long-chain non-coding ribonucleic acid difference expression spectrum model.

A medical-technical identification device for identifying a sterile product and a method of identifying such a product are provided. The product may be intended for one-time-use only, when connected to a piece of medical equipment. A fixedly mounted information carrier is adapted to deliver or to offer specific product information in a contactless fashion to a reading element connected to the medical equipment. The function of the identification device is improved so that even specific data can be forwarded to the medical equipment such as an infusion-type fluid pump. Thus operation of the pump may be reprogrammed, for example, to change the calibration factor or the operation mode or to change irrigation depending on the patient group to undergo surgery.

The invention discloses a system for improving the compliance. By adopting a user modeling method, compliance scores of patients are calculated, so that patient groups are determined. According to the grouping phenomenon, clustering analysis is performed; by adopting a short-message and wechat intervention mode, on the basis of a compliance intervention knowledge base, corresponding intervention schemes and contents are executed on the patients of different classes. In addition, the invention further discloses a system implementation method for improving the compliance. The system is a complete set of full-automatic intervention method. According to the intervention mode, the compliance intervention knowledge is pushed to a patient according to different frequencies and contents, the compliance of the patients can be improved through convenient and efficient management, automation is achieved in the whole process, manual misoperation is reduced, and the system is accurate and reliable. In addition, intervention strategy individualization and intervention content comprehensiveness are achieved.