-
公开(公告)号：US12020816B2
公开(公告)日：2024-06-25
申请号：US17483895
申请日：2021-09-24
申请人： Merative US L.P.
CPC分类号： G16H50/20 , G06F16/283 , G16H10/60
摘要： A medical episode analysis engine is provided. The engine generates a first matrix data structure having an entry for each concept pairing and storing a value representing relatedness weighted according to a temporal weighting function. The engine generates a second matrix data structure by calculating, for each entry in the first matrix, a relatedness measure of the concepts in the concept pairing based on a frequency of occurrence together. The engine generates, for each first concept, a concept embedding, based on the second matrix, that specifies, for each other second concept, a temporally weighted relatedness measure. The engine generates, for each anchor concepts, a corresponding episode definition comprising a plurality of related concepts corresponding to a same episode, based on the concept embedding. The engine processes new input data based on the episode definition data structures to identify instances of corresponding episodes in the new input data.
-
公开(公告)号：US12062456B2
公开(公告)日：2024-08-13
申请号：US17332356
申请日：2021-05-27
申请人： Merative US L.P.
发明人： Vishrawas Gopalakrishnan , Ajay Ashok Deshpande , Sayali Navalekar , James H. Kaufman , Simone Bianco , Kun Hu , Xuan Liu , Jacob Ora Miller , Raman Srinivasan , Pan Ding
摘要： Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.
-
公开(公告)号：US11948694B2
公开(公告)日：2024-04-02
申请号：US17318027
申请日：2021-05-12
申请人： Merative US L.P.
发明人： Vishrawas Gopalakrishnan , Sayali Navalekar , James H. Kaufman , Simone Bianco , Kun Hu , Ajay Ashok Deshpande , Sarah Kefayati , Ujwal Reddy Moramganti , George Sirbu , Xuan Liu , Raman Srinivasan , Pan Ding
摘要： Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.
-
-
搜索结果
3 条记录 (耗时 0.013 秒)
