Fukuoka, Yoshimi

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 363

A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss

Oh, Y. J., Zhang, J., Fang, M.-L., & Fukuoka, Y. (2021) · International Journal of Behavioral Nutrition and Physical Activity

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 278

Using appropriate body mass index cut points for overweight and obesity among Asian Americans

Jih, J., Mukherjea, A., Vittinghoff, E., Nguyen, T. T., Tsoh, J. Y., Fukuoka, Y., Bender, M. S., Tseng, W., & Kanaya, A. M. (2014) · Preventive Medicine

Obesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 264

A Novel Diabetes Prevention Intervention Using a Mobile App

Fukuoka, Y., Gay, C. L., Joiner, K. L., & Vittinghoff, E. (2015) · American Journal of Preventive Medicine

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 204

Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning

Na, L., Yang, C., Lo, C.-C., Zhao, F., Fukuoka, Y., & Aswani, A. (2018) · JAMA Network Open

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 161

Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Zhou, M., Fukuoka, Y., Mintz, Y., Goldberg, K., Kaminsky, P., Flowers, E., & Aswani, A. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 111

Digital Technology Ownership, Usage, and Factors Predicting Downloading Health Apps Among Caucasian, Filipino, Korean, and Latino Americans: The Digital Link to Health Survey

Bender, M. S., Choi, J., Arai, S., Paul, S. M., Gonzalez, P., & Fukuoka, Y. (2014) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 106

Self-monitoring and reminder text messages to increase physical activity in colorectal cancer survivors (Smart Pace): a pilot randomized controlled trial

Van Blarigan, E. L., Chan, H., Van Loon, K., Kenfield, S. A., Chan, J. M., Mitchell, E., Zhang, L., Paciorek, A., Joseph, G., Laffan, A., et al. (2019) · BMC Cancer

Mobile Health and mHealth ApplicationsCancer survivorship and care

Cited by 85

Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis

Fukuoka, Y., Kamitani, E., Bonnet, K., & Lindgren, T. (2011) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsMobile Learning in Education

Cited by 82

Qualitative Exploration of the Acceptability of a Mobile Phone and Pedometer‐Based Physical Activity Program in a Diverse Sample of Sedentary Women

Fukuoka, Y., Lindgren, T., & Jong, S. (2012) · Public Health Nursing

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 49

Applying machine learning to predict future adherence to physical activity programs

Zhou, M., Fukuoka, Y., Goldberg, K., Vittinghoff, E., & Aswani, A. (2019) · BMC Medical Informatics and Decision Making

Physical Activity and HealthMobile Health and mHealth Applications

Cited by 45

Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial

Fukuoka, Y., Lindgren, T. G., Mintz, Y. D., Hooper, J., & Aswani, A. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 29