Deep learning with Electronic Health Record (EHR) systems

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Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).

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. Hospitals adopt EHR systems to store data for every patient encounter, mainly for billing and insurance-related administrative purposes, but we can leverage these records to capture trends and draw conclusions.

The article has these sections:

  • Data in EHR systems
  • Application themes
  • Representation learning
  • Information extraction
  • Clinical predictions
  • Emerging themes
    • Relationship extraction
    • Generative sampling
    • Multitask learning
  • Industry applications
  • Data sources
  • Research papers

Excellent source of information for anybody interested in AI in health industry. Plenty of resources and articles to further enhance your studies. Great!

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Tags big-data data-science data-science machine-learning analytics