Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time PredictionTakayuki KatsukiKohei Miyaguchiet al.2022IJCAI 2022
A Comparative Time-to-Event Analysis Across Health SystemsMohamed GhalwashPrithwish Chakrabortyet al.2021AMIA Annual Symposium 2021
AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes MellitusKohtaroh MiyamotoAkira Kosekiet al.2020ADA Scientific Sessions 2020
Prediction of heart failures for diabetics only using major longitudinal lab test resultsAkira KosekiTakuya Ohkoet al.2020ADA Scientific Sessions 2020
Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series ClusteringMasaki OnoTakayuki Katsukiet al.2020MIE 2020
Feature Set for a Prediction Model of Diabetic Kidney Disease ProgressionMasaki OnoTakayuki Katsukiet al.2020MIE 2020
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learningMasaki MakinoRyo Yoshimotoet al.2019Scientific Reports
Time-Discounting Convolution for Event Sequences with Ambiguous TimestampsTakayuki KatsukiTakayuki Osogamiet al.2018ICDM 2018