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

- 19 Feb 2015
- JP
- 5698614
Context Information Processing System And Method
- 19 Nov 2014
- DE
- 112012000772.7
%mirai-ep% Real/recorded Data Switching For Improving Availability According To Anomaly Detection
- 14 Nov 2014
- MX
- 325151
%mirai-ep% Real/recorded Data Switching For Improving Availability According To Anomaly Detection
- 27 Oct 2014
- US
- 8872638
Controlling Communication Among Multiple Industrial Control Systems
- 17 Sep 2014
- GB
- 2505367
%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform
- 19 Aug 2014
- US
- 8811607
Processing Context Information
- 07 Jul 2014
- US
- 8775468
Method And System For Providing Path-level Access Control For Structured Documents Stored In A Database
- 03 Jul 2014
- JP
- 5571847
%mirai-ep%-#4 Proactive Attack Predication Scheme For Data Collection And Analysis Platform
- 20 May 2014
- US
- 8732270
Controlling Communication Among Multiple Industrial Control Systems
- 21 Feb 2014
- JP
- 5480447
%mirai-ep% Real/recorded Data Switching For Improving Availability According To Anomaly Detection

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

Context Information Processing System And Method

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

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

Controlling Communication Among Multiple Industrial Control Systems

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

Processing Context Information

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

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

Controlling Communication Among Multiple Industrial Control Systems

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

Top collaborators

Akira Koseki

Toshiya Iwamori

Ching-Huei Tsou

Joao Bettencourt