Carnegie Mellon University
Ph.D. student and co-author who explained how integrated clinical and claims data improves prediction accuracy and clinical utility.
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Carnegie Mellon researchers developed AI models using integrated medical records and insurance data that better predict which chronic kidney disease patients will develop end-stage renal disease, enabling earlier detection and more effective care planning.
“Ph.D. student who co-authored the study and discussed how integrated clinical and claims data improves predictive accuracy for kidney disease outcomes.”