Week 1 - NLP I

Required Reading

• Large language models encode clinical knowledge
• Examination of stigmatizing language in the electronic health record

Optional Reading

• Health system-scale language models are all-purpose prediction engines
• Machine learning in medicine
• How machine learning will transform biomedicine
• Do no harm: a roadmap for responsible machine learning for health care
• Medical ethics considerations on artificial intelligence
• Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
• A unified framework of five principles for AI in society
• Big data in healthcare: Using analytics to identify and manage high-risk and high-cost patients
• Safeguards for human studies can’t cope with big data
• Electronic health record signatures identify undiagnosed patients with Common Variable Immunodeficiency Disease
• Evaluating eligibility criteria of oncology trials using real-world data and AI
• Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment