Experience Engine-Method and Apparatus of Learning from Similar Patients
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...
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Main Authors | , |
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Format | Patent |
Language | English |
Published |
10.09.2020
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Application Number: US201615758988 |