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Advanced study of machine-learning methods for natural language processing and large language models. The course includes neural networks and deep learning methods for extracting information from ...
Natural language processing can be used for automated extraction of social work interventions from electronic health records, thereby supporting social work staffing and resource allocation decisions.
Vishal Bhatia, MD, chief medical information officer at RCCH HealthCare Partners in Brentwood, Tenn., discusses the evolution of his role as CMIO and how artificial intelligence, natural language ...
Cancer research using electronic health records and genomic data sets requires clinical outcomes data, which may be recorded only in unstructured text by treating oncologists. Natural language ...
The field of natural language processing (NLP) aims at getting computers to perform useful and interesting tasks with human language. This course introduces students to the 3 pillars underlying modern ...
Information on the nonmedical factors that influence health outcomes, known as social determinants of health, is often collected at medical appointments.
One of the most common ways we interact with computers is through language We're going to talk about Natural Language Processing, or NLP, show you some strategies computers can use to better ...
Dyania Health's technology de-identifies and derives clinically accurate meaning from unstructured and structured EMR-based patient data to automate manual chart review, a process commonly used in pre ...
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