Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
- Masaki Makino
- Ryo Yoshimoto
- et al.
- 2019
- Scientific Reports
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8 results for Atsushi Suzuki
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
- Takayuki Katsuki
- Kohei Miyaguchi
- et al.
- 2022
- IJCAI 2022
Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
- 2018
- ICDM 2018
A Comparative Time-to-Event Analysis Across Health Systems
- Mohamed Ghalwash
- Prithwish Chakraborty
- et al.
- 2021
- AMIA Annual Symposium 2021
Prediction of heart failures for diabetics only using major longitudinal lab test results
- Akira Koseki
- Takuya Ohko
- et al.
- 2020
- ADA Scientific Sessions 2020
Feature Set for a Prediction Model of Diabetic Kidney Disease Progression
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes Mellitus
- 2020
- ADA Scientific Sessions 2020