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A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims., , , , , and . IEEE J. Biomed. Health Informatics, 25 (9): 3608-3617 (2021)Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression., , , , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1219-1232. CEUR-WS.org, (2023)Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data., , , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 329-337. Springer, (2021)DAVI: A Dataset for Automatic Variant Interpretation., , , , and . CLEF, volume 14163 of Lecture Notes in Computer Science, page 85-96. Springer, (2023)Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings., , , , , , , , , and . BIBM, page 2694-2699. IEEE, (2021)Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports., , , , , and . LOD (1), volume 13810 of Lecture Notes in Computer Science, page 430-443. Springer, (2022)Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression., , , , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1277-1293. CEUR-WS.org, (2022)iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge., , , , , , , , , and 15 other author(s). (November 2023)Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge., , , , , , , , , and 15 other author(s). CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1123-1164. CEUR-WS.org, (2023)Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge., , , , , , , , , and 12 other author(s). CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1130-1210. CEUR-WS.org, (2022)