Michiharu Kudo

Title

STSM, Senior Manager of Accelerated Discovery

Bio

Dr. Michiharu Kudo is a Senior Technical Staff Member and Senior Manager of Accelerated Discovery department at IBM Research - Tokyo. He has been leading and managing healthcare and life science related AI research projects for years. He has also been working with industry leaders of healthcare, life science, and insurance domains to innovate industries.

His research area is on the development of machine learning and AI technologies to create disease progression prediction models from real world data such as electronic medical records and insurance claim data. He has published many research papers on disease progression prediction technology for Type 2 Diabetes Mellitus, chronic kidney diseases, and clinical nutrition management. He received a Ph.D. degree from University of Tokyo in 2002. He is ACM Senior Member.

Publications

Increasing tendency of urine protein is a risk factor for rapid EGFR decline in patients with CKD: A machine learning-based prediction model by using a big database
- - Daijo Inaguma
  - Akimitsu Kitagawa
  - et al.
- 2020
- PLoS ONE
AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes Mellitus
- - Kohtaroh Miyamoto
  - Akira Koseki
  - et al.
- 2020
- ADA Scientific Sessions 2020
Prediction of heart failures for diabetics only using major longitudinal lab test results
- - Akira Koseki
  - Takuya Ohko
  - et al.
- 2020
- ADA Scientific Sessions 2020
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
- - Masaki Makino
  - Ryo Yoshimoto
  - et al.
- 2019
- Scientific Reports
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
- - Takayuki Katsuki
  - Takayuki Osogami
  - et al.
- 2018
- ICDM 2018
Analyzing business processes by automatically detecting KPI thresholds
- - Mari Abe
  - Michiharu Kudo
- 2016
- SCC 2016
Adaptable privacy-preserving data curation for business process analysis services
- - Michiharu Kudo
  - Kumiko Maeda
  - et al.
- 2016
- SCC 2016
Operational work pattern discovery based on human behavior analysis
- - Michiharu Kudo
- 2014
- SRII 2014
Business process analysis and real-world application scenarios
- - Michiharu Kudo
  - Takahide Nogayama
  - et al.
- 2013
- SITIS 2013
Business process discovery by using process skeletonization
- - Michiharu Kudo
  - Ai Ishida
  - et al.
- 2013
- SITIS 2013

Patents

- 26 Dec 2016
- US
- 9529690
Anomaly Detection System, Anomaly Detection Method. And Program For The Same
- 14 Nov 2016
- US
- 9495553
Providing Path-level Access Control For Structured Documents Stored In A Database
- 07 Jun 2016
- US
- 9360855
Anomaly Detection System For Detecting Anomaly In Multiple Control Systems
- 26 May 2016
- SG
- 194695
%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform
- 12 Apr 2016
- CN
- ZL201280015056.3
%mirai-ep% Real/recorded Data Switching For Improving Availability According To Anomaly Detection
- 20 Jan 2016
- CN
- ZL201280021512.5
%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform
- 05 Jun 2015
- JP
- 5754704
%mirai-ep% System Controlling Communication Among Multiple Industrial Control Systems
- 03 Jun 2015
- CN
- ZL201210116008.5
%mirai-ep% Graceful Disconnection Based On Re-routing And Multi-level Actions
- 01 Jun 2015
- US
- 9044855
Processing Context Information
- 19 Feb 2015
- JP
- 5698614
Context Information Processing System And Method

Top collaborators

Michiharu Kudo

Title

Bio

Publications

Increasing tendency of urine protein is a risk factor for rapid EGFR decline in patients with CKD: A machine learning-based prediction model by using a big database

AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes Mellitus

Prediction of heart failures for diabetics only using major longitudinal lab test results

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning

Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps

Analyzing business processes by automatically detecting KPI thresholds

Adaptable privacy-preserving data curation for business process analysis services

Operational work pattern discovery based on human behavior analysis

Business process analysis and real-world application scenarios

Business process discovery by using process skeletonization

Patents

Anomaly Detection System, Anomaly Detection Method. And Program For The Same

Providing Path-level Access Control For Structured Documents Stored In A Database

Anomaly Detection System For Detecting Anomaly In Multiple Control Systems

%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform

%mirai-ep% Real/recorded Data Switching For Improving Availability According To Anomaly Detection

%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform

%mirai-ep% System Controlling Communication Among Multiple Industrial Control Systems

%mirai-ep% Graceful Disconnection Based On Re-routing And Multi-level Actions

Processing Context Information

Context Information Processing System And Method

Top collaborators

Akira Koseki

Toshiya Iwamori

Ching-Huei Tsou

Joao Bettencourt