Machine Learning with Electronic Health Record (EHR) Systems

Date
Type
Talk
Language
English
Length
45 minutes

About this talk

EHR systems can have data from a variety of different sources including billing data, patient demographics, medical history, lab results, sensor data, prescriptions, clinical notes, medical images, etc. I will cover a couple of ML models that use this kind of data to cover different use cases and i’ll talk about the multiple bias that the data might have.