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Spotlight Session - Digital Epidemiology

Spotlight Session - Digital Epidemiology

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(ASPOT09) Development of a Machine Learning Prediction Model for COVID-19 Patient Outcome Using a Sequential Data-Based Patient Similarity Metric

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(ASPOT10) Evaluation of drug hypersensitivity reactions documented in a new coded and structured hypersensitivity documentation tool with de-labeling function: A retrospective cohort study

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(ASPOT11) Evaluation of ablation workflow for Paroxysmal and Persistent Atrial Fibrillation Treatment using electronic health record linked with digital health data

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(ASPOT12) External validation using real world data of a generative AI assisted medication-indication knowledge base

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(ASPOT13) Patient Engagement and Adherence to Digital Tasks: WEARable Activity Tracker Study Exploring Rheumatoid Arthritis Patients’ Disease Activity using Patient-Reported Outcome Measures, Clinical Measures, and Biometric Sensor Data

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(ASPOT14) Drug Burden Index is a Strong Modifiable Predictor of 30-Day Hospitalisation in Community-Dwelling Older Adults: Machine Learning Analysis of InterRAI Data.

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(ASPOT15) Automation of study report abstract generation by Large Language Models, methodology and application example

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(ASPOT16) Machine Learning Applications for Predicting Empirical Antibiotic Treatment Failure in Urinary Tract Infections

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