Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
William Brown, Renu Balyan, Andrew J. Karter, Scott A. Crossley, Wagahta Semere, Nicholas D. Duran, Courtney R. Lyles, Jennifer Y. Liu, Howard H. Moffet, Ryane Daniels, Danielle S. McNamara, Dean Schillinger
Topics & Concepts
Measure (data warehouse)Health literacyComputer scienceLiteracyNatural (archaeology)Natural language processingArtificial intelligenceNatural languageMachine learningMedical educationMathematics educationData sciencePsychologyMedicineHealth carePedagogyData miningEconomic growthHistoryArchaeologyEconomicsHealth Literacy and Information AccessibilitySocial Media in Health EducationMental Health via Writing