GRANULAR DICHOTOMOUS SCORING METHOD FOR MACHINE LEARNING IN HEALTHCARE

    公开(公告)号:US20180315489A1

    公开(公告)日:2018-11-01

    申请号:US15964019

    申请日:2018-04-26

    摘要: The invention pertains to the fields of healthcare services and machine learning. More particularly, the invention pertains to a computer-implemented system for and method of gathering patient attitudes, values, opinions, traits, indicators of health, and symptoms of distress via a user interface that includes a moveable element with high granularity that presents a series of dichotomous choices allowing a patient or other person to move the element across the range of available values. The disclosure also describes a method of transforming legacy psychometric items into a form that modifies the kind of data produced through their usage. This continuous, high-granularity, data generated by the patient interaction can be used to generate training and test sets in machine learning and to facilitate the AI-optimized assessment, diagnosis, and treatment of mental and emotional health and distress at a distance. The present invention is unlimited with regard to the type of patient entity or healthcare professional entity.

    Treatment intelligence and interactive presence portal for telehealth

    公开(公告)号:US10325070B2

    公开(公告)日:2019-06-18

    申请号:US15377490

    申请日:2016-12-13

    IPC分类号: G06F19/00 G06N20/00

    摘要: The present invention relates to a computerized system for and method of providing precision healthcare services such as consultation, education, assessment, diagnosis, intervention, or treatment at a distance via encrypted real-time image and audio presence where the healthcare professional's assessment, diagnosis, and intervention activities are informed by patient feedback, smart objects, and artificial intelligence and patient outcomes are optimized through recursive system feedback. The present invention is unlimited with regard to the type of patient entity or healthcare professional entity.