Machine Learning with Electronic Health Record (EHR) Systems
- Speaker
- Gabriel de Maeztu
- 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.