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.

area: Re-designing the ecosystems for healthcare/medicine & human growth in our society from the viewpoints of human's mental dynamics and society systems
We're focusing on the human's mental dynamics and their embedded relationships in our society when we study disease-related subjects. Not a few internal/physical outbreaks including the developments of new diseases sometimes seem to be originated in above-mentioned our focus-points. We'll re-design models on 'how we should live connecting each other in our society' via epidemiology, statics, and science (science is important for our approach; that would have powers not only for changing, but also for healing & enhancing our mental dynamics towards good directions).
We also embed its model to our real world to describe our future ways (next actions) to take with our own will. Throughout our research and its implementations in our society, we'll snuggle up to many people who have vague anxiety towards their health, developed diseases, medical something and treatments, society/town-changing, and their life itself.

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

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.

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.

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.