Natural Language Processing (NLP) is transforming how public health trends are detected from text data. In this episode, we explain how NLP analyzes health reports, clinical notes, and public health documents to uncover patterns that traditional methods often miss. You’ll learn how word frequency analysis, topic modeling, and Latent Dirichlet Allocation (LDA) help identify emerging health trends, support early outbreak detection, and inform population-level public health decisions.
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