Other

Navya Network, Inc.

Skype Limited

Skyris Networks, Inc.

Gitika Srivastava

Naresh Ramarajan

Carleton J Bosley

Benjamin B Wilken

The present solution covers identifying a recommended treatment for a patient based on records of similar patients, wherein the similarities are non-obvious and non-linear. The solution generates a similarity map that minimizes the variance of elements records among a curated group of patients, and this similarity map is used to find the patients who are most similar to an untreated patient.

Experience engine-method and apparatus of learning from similar patients

An apparatus and method of retrieving relevant documents having medical research evidence receives a request to access a plurality of documents in a database stored in a memory device. Each of the plurality of documents contains information relating to medical research evidence and has an associated relational expression. The method then causes display of a user interface with a plurality of fields (a set of these fields are selectable, prescribed terms), and receives a relational expression based on information received from the user interface. The received relational expression includes at least one of the selectable, prescribed terms in the user interface. Next, the method compares the received relational expression with the relational expressions associated with at least one of the plurality of documents, and causes the display of information relating to a set of documents in the database as a function of the comparison of relational expressions.

Medical research retrieval engine

A system and method generate a report to help decide among a plurality of treatment options for a medical condition. The system and method receive patient information and generate a plurality of potential treatment options for the medical condition. The system and method also receive the patient's preference(s) for potential treatment outcomes of the treatment options, used to produce a preference value. The system and method also analyze indexed study data relating to the plurality of treatment options to produce, based on the analysis, a study score for each of the treatment options. For each treatment option, the system and method produce a treatment score based on at least the preference value and the study score, thus permitting generation of a report listing the treatment options and a) the treatment scores or b) the information derived from the treatment scores.

Treatment related quantitative decision engine

A system and method may generate a report to help decide among a plurality of treatment options for a medical condition. The system and method receive patient information and to generate a plurality of potential treatment options for the medical condition. The system and method also receive the patient's preference(s) for potential treatment outcomes of the treatment options, used to produce a preference value. The system and method also analyze indexed study data relating to the plurality of treatment options to produce based on the analysis a study score for each of the treatment options. For each treatment option, the system and method produce a treatment score based on at least the preference value and the study score, thus permitting generation of a report listing the treatment options and a) the treatment scores or b) the information derived from the treatment scores.

Treatment decision engine with applicability measure

Methods, apparatus, and programming recorded in machine readable memory are provided for the index, search and retrieval of objects on a global network. This inventive system embeds a distributed index in a routing layer to enable fast search. The method provides dynamic insertion, lookup, retrieval, and deletion of participating nodes, objects and associated metadata in a completely decentralized fashion. Nodes can dynamically join and leave the network. This infrastructure can be applied to content networks for publishing, searching, downloading, and streaming.

Growing community of inventors

Cambridge, MA, United States of America

Gitika Srivastava