Adverse Drug Event Detection Using Spark NLP
Автор: John Snow Labs – Healthcare AI Company
Загружено: 2021-10-21
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Presented by: Lawrence Rasouliyan – Head, Biostatistics and Data Science at OMNY Health and Vikas Kumar – Senior Data Scientist at OMNY Health
Adverse drug events (ADEs) are a significant cause of morbidity and mortality. In real-world clinical practice, ADEs are often reported spontaneously without formal coding or structured documentation in patients’ electronic health records. Natural language processing (NLP) of clinical text is a potential mechanism for identifying ADEs with better efficiency and accuracy. In this talk, we will share our experiences in working with Spark NLP for Healthcare models and pipelines for detecting ADEs present in unstructured clinical data. We will discuss ADE identification for specific medications in a variety of clinical scenarios and provide examples of how NLP of clinical text can provide a deeper insight into the real-world patient experience.
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