US 2019/0378619 A1 · USING MACHINE LEARNING TO PREDICT HEALTH CONDITIONS

Abstract

Technology for predicting health conditions of patients is disclosed. In an example, a first data set comprising features of health data is obtained. A first epoch of training is performed using the first data set. A second data set is generated by applying a bias value to values of a first feature of the first data set. A second epoch of training is performed using the second data set to train the machine learning model. A first set of data comprising static data and a second set of data comprising dynamic data is received, from which a time series data set is derived. A value is determined as absent in the time series data set. The value is assigned using a given data. The time series data set is provided as input to the trained machine learning model to predict health conditions of a patient.

Claims22

Dependent claims

A system comprising:

a memory;
and
a processor, coupled to the memory, the processor to:
obtain a first data set comprising one or more features of health data associated with one or more patients to train a machine learning model to predict health conditions of patients, the one or more features corresponding to a plurality of time values;
generate a second data set by one or more of:
i) applying a bias value to values of a first feature of the first data set;
ii) removing one or more data points from the first data set;
or
iii) modifying a length of a time interval comprising the plurality of time values;
and
perform training of the machine learning model using a training data set comprising one or more of the first data set or the second data set.

8 more elements

Dependencies are inferred from the claim text.

Using machine learning to predict health conditions

Life of this patent

Using machine learning to predict health conditions

Life of this patent

Abstract

Claims22