SYSTEMS AND METHODS FOR DISEASE CONTROL AND MANAGEMENT
    2.
    发明申请
    SYSTEMS AND METHODS FOR DISEASE CONTROL AND MANAGEMENT 审中-公开
    疾病控制与管理系统与方法

    公开(公告)号:US20170076053A1

    公开(公告)日:2017-03-16

    申请号:US15362337

    申请日:2016-11-28

    申请人: WellDoc, Inc.

    IPC分类号: G06F19/00

    摘要: Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

    摘要翻译: 方法,计算机可读介质和用于提供疾病管理的系统。 在一个实施中,系统基于患者数据开发针对患者的治疗推荐。 该系统可以接收患者数据,执行患者的生理系统的基本模型,以基于患者数据生成患者的修改模型,对患者数据进行统计分析以检测参数值的数据偏移; 使用修改的模型来确定导致数据偏移的因素; 并使用该模型制定治疗建议,以改善疾病的负面影响。

    Systems and methods for disease control and management

    公开(公告)号:US20200251199A1

    公开(公告)日:2020-08-06

    申请号:US16854126

    申请日:2020-04-21

    申请人: WellDoc, Inc.

    摘要: A system for creating and updating one or more models for providing treatment recommendations for health conditions may receive weight measurements from a weight measuring device, execute a basic model based on information regarding the health condition, to generate treatment recommendations, generate reminders prompting the user to obtain weight measurements, estimate an impact of the user data on the weight measurements, generate a modified model, based on the basic model, the received weight measurements, the received user data, and the estimated impact of the user data, the modified model including personalized treatment recommendations specific to the user, and transmit the reminders, the treatment recommendations, and the personalized treatment recommendations to the user device.