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Webinar Library

Improving Acute Kidney Injury Prediction and Risk Factor Analysis with Personalized Transfer Learning

Acute kidney injury (AKI) is a life-threatening clinical syndrome prevalent in hospitalized patients (10% to 15% affected), especially among critically ill patients (>50% affected), and has exceeded the annual incidence of myocardial infarction. AKI patients are at much higher risk for developing poor long-term outcomes including incident and progressive chronic kidney disease, cardiovascular disease, and death.
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Leveraging Procedural Video Data for Quality, Safety, and Knowledge

High-dimensional data from procedural recordings are increasingly being leveraged by institutions for quality, safety, and efficiency. With advances in technology enabling high fidelity recordings and large scale analytics, the possible applications for this data continue to expand. Institutions must consider their data strategy and the ethical, legal, privacy, and insurance implications of recording clinical procedures.
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Clinical Research Informatics Books and Book Chapters - “How-to” Lessons from Authors and Editors

Several editors and authors of clinical research informatics textbooks and chapters will present developed topics in the CRI field and new topics in CRI compared to earlier editions of the books. Presenters will talk about the 3rd edition of Springer Clinical Research Informatics, the CRI chapter in the 5th edition of Springer Biomedical Informatics, and the CRI chapter in the 8th edition of Health Informatics.
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Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review

An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from electronic health records (EHRs). Currently, no standardized reporting guidelines for NLP-assisted observational studies exist. The absence of detailed reporting guidelines may create ambiguity in the use of NLP-derived content, knowledge gaps in the current research reporting practices, and reproducibility challenges.
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