您的位置: 首页 > 农业专利 > 详情页

PATIENT MONITORING SYSTEM AND METHOD HAVING SEVERITY PREDICTION AND VISUALIZATION FOR A MEDICAL CONDITION
专利权人:
General Electric Company
发明人:
Rupanjali Chaudhuri,Rohit Pardasani,Hariharan Ravishankar,Guy Vesto
申请号:
US16215128
公开号:
US20200178903A1
申请日:
2018.12.10
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method of monitoring a patient with respect to a particular medical condition includes providing a machine learning model trained to assign a weight to each of a predefined set of features so as to calculate a risk severity index of a particular medical condition. A long time interval of time-synchronized parameter data is received for each of at least two physiological parameters, and the long time interval is divided into multiple segments each containing a predefined time increment of the parameter data. A set of feature values are determined for the segment based on the parameter data therein, including a feature value for each of the predefined set of features related to the particular medical condition. With the trained machine learning model, assigning a weight to each of the predefined set of features, and then a risk severity index of the particular medical condition is calculated for the long time interval based on the set of feature values.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充