AI RESEARCH
Automating Early Disease Prediction Via Structured and Unstructured Clinical Data
arXiv CS.LG
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ArXi:2603.28167v1 Announce Type: new This study presents a fully automated methodology for early prediction studies in clinical settings, leveraging information extracted from unstructured discharge reports. The proposed pipeline uses discharge reports to the three main steps of early prediction: cohort selection, dataset generation, and outcome labeling.