1968results about "Epidemiological alert systems" patented technology

The method of the present invention derives the illness probability of any selected person from a database of people stored in a computer and/or on a computer network using collected relational data from every person in the database, including whether a person has a contact relationship with another person in said database and utilizes a database of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship; type of disease; probability function of infection given a time unit; length of contact of the particular contact relationship link; and calculates at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database for deriving the illness probability of the selected person. In addition. the method of the present invention permits selecting the optimum treatment for a patient with an infectious disease based upon recommending a drug or drugs deemed optimum for treating the patient and permits generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management. Moreover, in accordance with the method of the present invention a given patient may compare his or her medical record with summary information of patients with similar defined criteria.

A repeater device for an advanced patient management system communicates with a medical device coupled to a patient to obtain data about the medical device and/or patient's condition. The repeater device maintains the data while if considers various factors when coordinating transfer of the data to a repository of the advanced patient management system. The repeater device may be configured to analyze the data to determine a degree of urgency, such as whether an emergency exists, and then determine when to transfer the data based on the degree of urgency. The repeater device may also be configured to test the condition of the communication medium being used to transfer the data to the repository, such as determining whether a telephone line is in use, and then determine when to transfer the data based on the condition of the of the communication medium.

The invention relates generally to systems, devices and methods for global disaster response, more particularly to the rapid detection, qualified assessment and monitoring of disasters and electronic triage of victims, communication, alert and evacuation systems, provision of suitable modular sensing or medical aid solutions, and their rapid deployment via delivery platforms such as disaster messaging formats and resources on client mobile phone applications or physically via remote operated vehicles (unmanned aerial sea or land systems) or targeted air delivery.

Systems and methods according to the invention provide a surveillance, monitoring and real-time events platform to (i) enable the integration and communication of information between government agencies and organizations specifically tasked with ensuring the security and safety of our nation and its communities, (ii) to integrate information systems from federal, state and/or local agencies (from disparate data sources if necessary) in order to obtain a single, real-time view of the entire organization, and (iii) to extract more complete, actionable information from their existing systems, thereby dramatically improving decision making speed and accuracy.

A system and method for visually displaying and analyzing criminal and/or public health and safety data for geospatial and/or time variations, including the collection of incident data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method and displaying the result to a user via a visual analytics arrangement.

A system and method for obtaining, storing, processing and utilizing immunologic information of individuals and populations is presented. In exemplary embodiments of the present invention, a biological sample can be taken from one or more individuals and the sample submitted to one or more panels of assays. The results of the assays can be stored and analyzed, and such analysis can include (i) calculating derived quantities which take the results of the assays as inputs, and (ii) submitting the results and the derived quantities to a set of rules, each of which has a defined output state. In exemplary embodiments of the present invention, based upon the output state of the rules, an appropriate recommendation as to one or more immunization or other interventions can be generated and incorporated with provider and patient reminders. In exemplary embodiments of the present invention the results of the assays and the recommendation, as well as additional information specific to the individual can be stored for further analysis. In exemplary embodiments of the present invention the assay panel or panels can be chosen as a function of a defined demographic group or enterprise affinity into which the individual corresponds. In exemplary embodiments a database can be maintained for storing and further processing of all immunologic informatics collected according to the methods of the present invention, and can be further processed or used to optimize the delivery of products and/or services in various commercial, research and governmental contexts.

Chemical and biological detector systems, devices and apparatus. Such devices may be portable and wearable, such as badges, that are analyte-general, rather than analyte-specific, and which provide an optimal way to notify and protect personnel against known and unknown airborne chemical and biological hazards. The devices of the present invention are advantageously low-cost, have low-power requirements, may be wearable and are designed to detect and alarm to a general chemical and biological threat. A sensor device of the present invention in one embodiment includes two or more sensor devices, a processing module coupled to each of the sensor devices and configured to process signals received from each of the two or more sensor devices to determine an environmental state; and a communication module that communicates information about the environmental state to a user.

Multiple health profiles from multiple personal health monitoring systems are compiled. The multiple personal health monitoring systems each monitor a current health profile including physical parameters and environmental parameters indicative of the current health of one of multiple users. The physical parameters and environmental parameters of each of the multiple health profiles are compared to determine health affecting factors for the multiple users, such that health affecting factors of public health are audited.

The present invention is a system and method for performing real-time infection control over a computer network. The method comprises obtaining a sample of a microorganism at a health care facility, sequencing a first region of a nucleic acid from the microorganism sample, comparing the first sequenced region with historical sequence data stored in a database, determining a measure of phylogenetic relatedness between the microorganism sample and historical samples stored in the database, and providing infection control information based on the phylogenetic relatedness determination to the health care facility, thereby allowing the health care facility to use the infection control information to control or prevent the spread of an infection.

A system and method involves detecting operational social disruptive events on a global scale, assigning disease event staging and warnings to express data in more simplistic terms, modeling data in conjunction with linguistics analysis to establish responsive actions, generating visualization and modeling capabilities for communicating information, and modeling disease propagation for containment and forecasting purposes.

We present a data-driven system that seamlessly integrates the compilation of a diverse set of patient electronic medical records, family history, and environmental risk factor databases, a program that determines correlations and assigns weights through a neural network between illness and the state of symptoms, a program to create disease-specific questionnaires and content, a program alert that informs users of trends and potential illness outbreaks due to anomalous changes in regional or national symptom trends, and a program that enables medical practitioners to view patient-generated records and manage an online referral system. The automated diagnoses and alerts allow users to make informed and rapid medical treatment decisions.

A system and method involves detecting operational social disruptive events on a global scale, assigning event staging and warnings to express data in more simplistic terms, modeling data in conjunction with linguistics analysis to establish responsive actions, generating visualization and modeling capabilities for communicating information, and modeling propagation of events for containment and forecasting purposes.

A system and method involves detecting operational social disruptive events on a global scale, assigning disease event staging and warnings to express data in more simplistic terms, modeling data in conjunction with linguistics analysis to establish responsive actions, generating visualization and modeling capabilities for communicating information, and modeling disease propagation for containment and forecasting purposes.

The invention provides a method and a system for predicting cardiovascular and cerebrovascular disease risks. The method comprises the following steps: step 1, defining problems of cardiovascular and cerebrovascular disease prognosis risk prediction, step 2, collecting health medical data of cardiovascular and cerebrovascular disease patients; step 3, preprocessing data, including data integration, data cleaning, and processing missing data; step 4, constructing features and selecting features, identifying potential risk factors; step 5, the identified risk factors and rehabilitation outcomes forming an input-output sample set, inputting the input-output sample set to a random forest algorithm for model training, and evaluating prediction performance of a model. The method and the system can obtain health medical data of cardiovascular and cerebrovascular disease patients, the data being required by a clinician input model, and a predicted rehabilitation outcome of a patient in a certain time period in future is obtained through the model. The method and the system can preferably predict prognosis risks, so as to realize personalized accurate rehabilitation treatment.

A method for inferring a probability of a first inference. The inference is related to identification of a cause of an outcome in a healthcare setting. A fact, related to the query, is related to the healthcare setting. The fact further relates to a network of interactions associated with the outcome. Each datum of the database conforms to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query establishes a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

The present invention relates to a method for predicting outcome and evaluation of clusters. Particularly the invention relates to a method of determining deviation and predict future out comes of clusters with certain attributes. In one embodiment, the present invention relates to epidemic outbreaks of disease and, more particularly, to a method for predicting the spread thereof.

The embodiment of the invention provides a disease prediction method, device, a medium and electronic equipment. The disease prediction method comprises steps: activity trajectories of multiple usersare acquired; if a patient diagnosed with an infectious disease appears in the multiple users, based on the activity trajectories of the multiple users in a predetermined time period, the position relationship between other users in the multiple users and the patient in each time point is determined; according to the position relationship between other users and the patient in each time point, thecontact degrees between other users and the patient are calculated; and target users with the contact degrees with the patient higher than a predetermined threshold are predicted as a high-risk diseased population. In the technical scheme provided by the embodiment of the invention, persons closely contacted with the infection source of the infectious disease (that is, the patient) are determinedthrough the position information of the user, persons at risk of infection can be further accurately determined, corresponding measures are taken timely, and the health control level of the user is improved.

A computer implemented method, apparatus, and computer usable program code for detecting behavioral deviations in members of a cohort group. In one embodiment, a member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Respiratory metadata associated with the member of the cohort group is received in real-time as the respiratory metadata is generated. The respiratory metadata describes respiration associated with the member of the cohort group. Patterns of respiratory changes are identified using the respiratory metadata. The respiratory metadata is analyzed to identify the patterns of respiratory changes. In response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest.

This invention relates generally to a process for producing machine readable contextual diagnostic information and use of contextual diagnostic information for generating tangible and useful results. The process provides the highest level of integration of diagnostic information collected in a distributed or centralized system comprising diagnostic devices and a global computer network. More particularly, in certain embodiments, contextual diagnostic information are used in specific diagnostic related applications and business models including ecommerce.

A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations: determining, by the computerized system, that a first person is infected by a first infectious disease; wherein the determination is associated with a first person infection probability attribute; detecting, by the computerized system, based upon location information collected during at least a portion of a first infectious disease manifestation period, the location information being indicative of locations of the first person and other persons, a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease; calculating, by the computerized system, a second person infection probability attribute; and updating, by the computerized system, the first person infection probability attribute in response to the second person infection probability attribute.

The system has number of environmental sensors to sense various environmental parameters of the personal environment envelope surrounding the individual and multiple biological sensors to sense biological and physiological condition of the individual. The system includes a personal environment envelop setting module to define preferred settings based on input from the individual. The system has a processing module to process the environmental parameters sensed by the sensors and the preferred settings to generate alerts. The processing module, also receives information from other sources and is capable of dynamically compute recommendations, map these with the preferences of the individual for enabling the preferred conditions. The system also has a server module configured to receive, store, analyze and machine learn from data of the plurality of environmental parameters sensed by the plurality of sensors and the preferred settings along with ambient environmental data from plurality of persons for epidemiology study.