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Medical and Health Data Science Lab
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The lab uses ophthalmic imaging and claims data to elucidate diseases and improve healthcare.

AboutAbout the lab
From clinical data to understanding disease and improving healthcare.
The Medical and Health Data Science Lab is run by Professor Hiroshi Tamura of the Data Science Innovation Education and Research Center, affiliated with the Institute for Liberal Arts and Sciences, who also holds a concurrent professorship in the Graduate School of Informatics.
The lab conducts epidemiological studies using clinical data, centered on images, and claims data, and develops medical systems and testing devices jointly with companies.
Key terms
- Epidemiology
- The study of the causes, spread, and prevention of disease using data from populations
- Claims (receipts)
- Itemized statements of medical fees that medical institutions submit to insurers to request payment. They record treatment and can be used for research
- NDB
- Japan's national medical database that collects claims data from across the country
ResearchResearch themes
The lab conducts epidemiological studies using clinical data, and develops and implements medical systems and testing devices.
*Illustrative imageEpidemiological Studies of Clinical Data, Centered on Images
Mainly in ophthalmology, the lab has spent about 20 years on research centered on the many types of rapidly advancing image data, aiming to clarify disease mechanisms and predict prognosis.
*Illustrative imageEpidemiological Studies Using Claims Data
The lab is actively engaged in epidemiological studies that make secondary use of claims data, mainly from the NDB.
*Illustrative imageDevelopment of Medical Systems and Testing Devices
Jointly with companies, the lab develops and implements medical systems and testing devices that incorporate artificial intelligence technologies, including generative AI.
MembersFaculty
- Concurrent ProfessorHiroshi Tamura
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Medical technician using ultrasound equipment in a clinical setting” Shixart1985 / CC BY 2.0 (cropped)
- Epidemiological Studies of Clinical Data, Centered on Images: “Slit lamp Eye examination by Ophthalmologist” Rakesh Ahuja, MD / CC BY-SA 3.0 (cropped)
- Epidemiological Studies Using Claims Data: “A pharmacy specialist fills prescriptions using the Baker Cell Medication Counting and Dispensing Unit at the U.S. Army Hospital, Camp Kuwae - DPLA - c12b7b5f9c679e131241f250a21b9c1f” Department of Defense. American Forces Information Service. Defense Visual Information Center. 1994 / Public domain (cropped)
- Development of Medical Systems and Testing Devices: “Child receiving medical care with doctor using ultrasound device in a medical setting” Shixart1985 / CC BY 2.0 (cropped)
- Related lab (統計推論 分野): “Combinational Circuit as Directed Acyclic Graph” HouboHe / CC BY-SA 4.0 (cropped)
- Related lab (大規模データ活用基盤 分野): “Groß und klein” Friedrich Haag / CC BY-SA 4.0 (cropped)
- Related lab (計算知能システム
(連携ユニット) ): “Visualizing Artificial Neural Networks (ANNs) with python library-ANN Visualizer” Serenechan3 / CC BY-SA 4.0 (cropped) - Related lab (教育情報学 分野): “Future School” Rasica03 / CC BY-SA 4.0 (cropped)
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