Member

Shingo Fukuma

My core research area is outcome research in special populations, such as patients with NCDs and elderly populations. The current challenge to me is conducting valid observational studies utilizing modern epidemiological design, new data science approaches, and advanced statistical methods. My current focus is on the international comparison of quality of care and identification of risk factors for NCD progression.

Researchgate: https://www.researchgate.net/profile/Shingo_Fukuma Researchmap: https://researchmap.jp/7000009392
KAKEN: https://nrid.nii.ac.jp/ja/nrid/1000060706703/
KCONNEX: http://k-connex.kyoto-u.ac.jp/ja/researcher/shingo-fukuma

Professional Career

  • 2017-

    Associate Professor
    Human Health Sciences Kyoto University Graduate School of Medicine

  • 2016-2017

    Associate Professor
    Integrated Clinical Education Center
    Kyoto University Hospital

  • 2014-2016

    Associate Professor
    Center for Innovative Research for Communities and Clinical Excellence
    Fukushima Medical University

  • 2014-2016

    Assistant Professor
    Institute for Advancement of Clinical and Translational Science (iACT)
    Kyoto University Hospital

  • 2013-2014

    Lecturer
    Institute for Advancement of Clinical and Translational Science (iACT)
    Kyoto University Hospital

My Mission

If you look at the correct place, you can see the truth that already exists.

Using both approaches of clinical epidemiology and data science on health big data, we try to find effective ways to improve health systems, including prevention, medical care, and nursing care.

Faculty

Tatsuyoshi Ikenoue

area:clinical epidemiology, big data analysis
Using clinical epidemiology and data science methods, I try to develop a new approach to utilize big health data. Based on my experience as a physician, I do clinical research to solve clinically and socially relevant health problems.
My current research is to improve the quality of health guidance regarding prevention of NCD, analyzing health checkup data, medical claims, and health guidance logs.
This will produce a good connection between human and machine.

Adjunct Faculty

Yukari Yamada

area:health promortion, epidemiology
My research interest is in the area of gerontological epidemiology with an aim to improve quality of life/dying and care for older individuals.
With the current research project, I would like to explore optimal health promoting strategies to manage NCDs, which may be ever changing depending on individual bio-psycho-social circumstances.
Also I am interested in the relations of those strategies with trajectory of quality of life throughout the entire life span.
Researchgate: https://www.researchgate.net/profile/Yukari_Yamada

Adjunct Researcher

Yoshiyuki Saito

area:health promortion, pharmaceutical science
My current focus is to figure out the quality of medication use.
I do a basic epidemiological study which clarifies patient's behaviors for taking drugs and also big data analysis using medical claims data.
The goal of my studies is to build an evidence-based drug safety approach.

Daitaro Misawa

area:data sicence
My current interest is to apply and develop a mathematical method on health big data.
Particularly, I analyze personal health record (PHR) and medical claims data by a statistical method and machine learning approach, to develop an algorithm for the prediction of NCD incidence.
I also conduct text data analysis on published researches.

Takanobu Nomura

area: causal inference, social epidemiology
My current research target is reducing bias to obtain robust estimation results when analyzing real-world data. Using causal inference methodological approach on health checkup data and questionnaire-based surveillance, I would like to identify the lifestyle which has a close association with healthy longevity.

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