首页> 外国专利> MACHINE-LEARNING MODEL FOR GENERATING HEMOPHILIA‑PERTINENT PREDICTIONS USING SENSOR DATA

MACHINE-LEARNING MODEL FOR GENERATING HEMOPHILIA‑PERTINENT PREDICTIONS USING SENSOR DATA

机译:使用传感器数据生成血友病相关预测的机器学习模型

摘要

Disclosed are systems and methods for building and using a machine-learning model to facilitate intelligent selection of treatment strategies for subjects suffering from hemophilia. Sensor data (e.g., that characterizes movement of or a physiological characteristic of particular a subject) can be used as an input to a machine-learning model workflow. The sensor data may affect a model selection, model configuration, model result, pre‑processing and/or post-processing. A result of the workflow may inform or influence a treatment selection, treatment schedule, treatment dosage and/or activity recommendation for the particular subject.
机译:公开了用于构建和使用机器学习模型以促进血友病患者治疗策略的智能选择的系统和方法。传感器数据(例如,表征特定对象的运动或生理特征的数据)可以用作机器学习模型工作流的输入。传感器数据可能会影响模型选择、模型配置、模型结果、预处理和/或后处理。工作流程的结果可能会通知或影响特定受试者的治疗选择、治疗计划、治疗剂量和/或活动建议。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号