HIGHLIGHTS
- who: Sheng-Feng Sung from the University, Taiwan have published the research work: Application of machine learning and natural language processing for predicting stroke-associated pneumonia, in the Journal: (JOURNAL)
- what: Inspired by these ideas, the authors aimed to explore the value of combining both structured and unstructured textual data in developing ML models to predict SAP. The data sources for this study were the hospital stroke registry and the Ditmanson Research Database (DRD), a deidentified database comprising both administrative claims data and EHRs for research purposes. This study has several limitations to be addressed . . .
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