Method and apparatus for personal health navigation includes determining, by a processor, a personal health state space comprising a set of connected biological states for an individual; determining, for the individual, a region of interest within the personal health state space, in which the region of interest is defined by a goal state relative to a current state of the individual, the goal state associated with a personal health goal of the individual; determining a route comprising the current state, the goal state, and an intermediate state within the personal health state space, the intermediate state closer in distance to the goal state than the current state; and providing, to the individual, a health instruction indicative of a recommended action based on a connection between the current state and the intermediate state, in which the recommended action is selected to guide the individual to transition to the intermediate state.

A computer-implemented knowledge asset distribution platform distributes packages of knowledge assets between plural provider system environments (PSE) and/or consumer system environments (CSE), which store knowledge assets and make the knowledge assets available to users of the CSE. The platform includes one or more processor unit(s), with one or more non-transitory memory unit(s), and a distribution module that distributes packages of knowledge assets. The platform includes a receiver module that receives packages of knowledge assets, a database module that stores packages of knowledge assets and/or stores content information of packages of knowledge assets, a browser module that provides a browser function for browsing the knowledge assets stored by the database module and/or for browsing the content information stored by the database module and a sender module that relays packages of knowledge assets.

A computer-implemented knowledge asset distribution platform distributes packages of knowledge assets between plural provider system environments (PSE) and/or consumer system environments (CSE), which store knowledge assets and make the knowledge assets available to users of the CSE. The platform includes one or more processor unit(s), with one or more non-transitory memory unit(s), and a distribution module that distributes packages of knowledge assets. The platform includes a receiver module that receives packages of knowledge assets, a database module that stores packages of knowledge assets and/or stores content information of packages of knowledge assets, a browser module that provides a browser function for browsing the knowledge assets stored by the database module and/or for browsing the content information stored by the database module and a sender module that relays packages of knowledge assets.

A computer system includes processor hardware configured to execute instructions from memory hardware. The instructions include training a machine learning model to generate an entity expiration likelihood output, obtaining a set of multiple database entities, and processing, by the machine learning model, feature vector inputs associated with each database entry to generate an entity expiration likelihood output. The instructions include determining a subset of the database entities having the highest entity expiration likelihood outputs, and, for each database entity in the subset, determining output impact scores for parameters of the feature vector input associated with the database entity, generating a feature list based on the determined output impact scores, and automatically selecting an executable sequence according to the entity expiration likelihood output associated with the database entity. The feature list is specific to the database entity and includes one or more of the parameters having the highest output impact scores.

A mechanism is provided in a data processing system to implement a medical concept searching engine for improving searches of medical concepts based on an index model. The mechanism generates a concept index model data structure that records medical concepts and corresponding numbers of instances of the medical concepts in the corpus of documents. Responsive to receiving a search request from a user, the medical concept searching engine identifies at least one medical concept in the search request and one or more related medical concepts that are related to the at least one medical concept based on an ontology data structure. The medical concept searching engine generates a bubble graph user interface comprising a plurality of bubbles corresponding to the at least one medical concept and the one or more related medical concepts.

A mechanism is provided in a data processing system to implement a medical concept searching engine for improving searches of medical concepts based on an index model. The mechanism generates a concept index model data structure that records medical concepts and corresponding numbers of instances of the medical concepts in the corpus of documents. Responsive to receiving a search request from a user, the medical concept searching engine identifies at least one medical concept in the search request and one or more related medical concepts that are related to the at least one medical concept based on an ontology data structure. The medical concept searching engine generates a bubble graph user interface comprising a plurality of bubbles corresponding to the at least one medical concept and the one or more related medical concepts.

The embodiments of the present application relate to providing a distributed network-based system that allows users to search for potential healthcare providers that satisfy certain criteria and to dynamically identify healthcare providers that best meet a user's particular needs as defined by each specific search. In embodiments, the system creates experience score for each particular provider who matches the search criteria. The experience score is dynamically determined based on the type of search that is performed (e.g., search by specialty or search by condition or procedure), the query terms used in the search, and other factors including for example, the medical specialty/specialties the provider practices relative to the search performed, evidence the provider treats a condition and/or performs a procedure that matches the consumer's search, patient volume for the searched condition or procedure, total volume of patients, board certification(s) relevant to searched performed, disciplinary action information, malpractice claims history, and degree level attained by the healthcare provider. In other embodiments, the system dynamically ranks healthcare providers within a search results list from best choice to worst choice based on several factors including, for example, the type of search, the query terms used in the search, the quantity of providers who match the query, the locations of the providers who match the query, and the quality and other characteristics of providers who match the search query.

The embodiments of the present application relate to providing a distributed network-based system that allows users to search for potential healthcare providers that satisfy certain criteria and to dynamically identify healthcare providers that best meet a user's particular needs as defined by each specific search. In embodiments, the system creates experience score for each particular provider who matches the search criteria. The experience score is dynamically determined based on the type of search that is performed (e.g., search by specialty or search by condition or procedure), the query terms used in the search, and other factors including for example, the medical specialty/specialties the provider practices relative to the search performed, evidence the provider treats a condition and/or performs a procedure that matches the consumer's search, patient volume for the searched condition or procedure, total volume of patients, board certification(s) relevant to searched performed, disciplinary action information, malpractice claims history, and degree level attained by the healthcare provider. In other embodiments, the system dynamically ranks healthcare providers within a search results list from best choice to worst choice based on several factors including, for example, the type of search, the query terms used in the search, the quantity of providers who match the query, the locations of the providers who match the query, and the quality and other characteristics of providers who match the search query.

A method for identifying a disease affected area. The method includes activating a geolocation device of an electronic communication device, determining a current geolocation from the geolocation device, querying a disease database from the electronic communication device, to identify one or more diseases associated with the current geolocation, and generating a graphical display on a display of the electronic communication device displaying a risk rating associated with each of the one or more identified diseases associated with the current geolocation.

A computer system for adaptive parsing and processing of text to facilitate user engagement in a remote computing environment on an electronic device comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The stored program instructions include receiving an input content from the electronic device of a user, the input content comprising a plurality of words, the plurality of words comprising one or more content words and one or more function words; following the receiving of the input content, extracting the function words and the content words from the input content; following the extracting of the input content, analyzing the function words and the content words extracted from the input content; determining, based on the extraction of the input content including the function words and the content words, user information; determining, based on the user information, output content to output to the user; and outputting, to a screen of the electronic device of the user, the output content.