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Data Science Lab
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The lab uses statistics to analyze real-world dental data.

AboutAbout the lab
Interpreting dental data through statistics
The Data Science Lab centers on dental medicine and combines statistics, epidemiology, and information science to analyze data in dental medicine and health science.
It uses real-world data such as claims data, health checkup data, long-term care insurance data, and community cohorts.
The lab quantifies the burden and costs caused by oral diseases, and conducts health services research that evaluates the effectiveness and cost-effectiveness of dental public health measures and healthcare services.
The lab conducts joint research with researchers inside and outside the university, medical institutions, local governments, government agencies, and companies, aiming to bring its results back to policy and clinical practice.
Key terms
- Real-world data
- Data collected routinely in actual clinical care, health checkups, and long-term care settings, rather than data gathered through experiments for research
- Claims data
- Itemized statements of medical fees that medical institutions submit to health insurance. They serve as a record of what treatment a patient received
- Causal inference
- Statistical methods for determining from data whether a given factor actually caused an outcome
- Health services research
- A research field that examines how effective healthcare and health services are, and whether they are worth their cost
ResearchResearch themes
Centered on dental medicine, the lab applies data science that integrates statistics, epidemiology, and information science to analyze real-world data in dental medicine and health science. Its research contributes to promoting evidence-based healthcare and health policy.
*Illustrative imageEvaluating the Burden of Oral Diseases and Services
The lab analyzes claims data, health checkup data, and other sources using statistical analysis, causal inference, and machine learning to quantify the disease burden and economic burden of oral diseases. It also evaluates the effectiveness and cost-effectiveness of dental public health measures and the appropriate allocation of healthcare resources.
*Illustrative imageJoint Research and Putting Results into Practice in Society
The lab carries out joint research across disciplines with researchers inside and outside the university, medical institutions, local governments, government agencies, and companies. Through implementation research that brings results back to policy and clinical practice, it aims to contribute to extending healthy life expectancy.
MembersFaculty
The faculty of the Data Science Lab are a Professor, a Lecturer, and a Project Research Assistant Professor.As of 2026
- ProfessorKenji Takeuchi
- LecturerTaro Kusama
- Program-Specific Research Assistant ProfessorAnna Kinugawa
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: “Data Science” Максим Пе / CC BY-SA 4.0 (cropped)
- Evaluating the Burden of Oral Diseases and Services: “Dental chair in a dentist clinic” IrfanDP / CC BY-SA 4.0 (cropped)
- Joint Research and Putting Results into Practice in Society: “Full automatic Dental Chair in Kar Clinic” AuliRaha / CC BY-SA 4.0 (cropped)
- Related lab (国際連携イノベイティブ歯学分野): “X-ray of root analogue dental implant single rooted right lower second premolar” Logicwhatelse / CC BY-SA 4.0 (cropped)
- Related lab (共創歯学分野): “Alloy and metal samples - Beryllium-Copper, Inconel, Steel, Titanium, Aluminum, Magnesium” Bill Abbott / CC BY-SA 2.0 (cropped)
- Related lab (国際歯科保健学分野): “Toothpaste and toothbrush” James Moore200 / CC BY-SA 4.0 (cropped)
- Related lab (生体材料理工学分野): “Laboratory of Biomaterials” Berillo D / CC BY-SA 4.0 (cropped)
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