Advanced AI: NLP Techniques for Clinical Datasets
Advanced AI: NLP Techniques for Clinical Datasets
Duration: 43m 49s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 138.12 MB
Genre: eLearning | Language: English
Duration: 43m 49s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 138.12 MB
Genre: eLearning | Language: English
The healthcare industry is one of the fastest growing sectors using AI applications and techniques. When working with clinical data, written text forms a major part of how scenarios and treatment progression are documented. With the advent and availability of more and more digital health data, this course provides hands-on lessons at making sense of clinical text data using natural language processing (NLP) techniques. Join instructor Wuraola Oyewusi as she explores how to apply natural language processing to clinical and biomedical data. Topics covered include clinical named entity recognition, clinical entity resolution, word and sentence level text representation, and transformers for clinical text.
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