Kawamoto, Kensaku

Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005) · BMJ

Electronic Health Records SystemsClinical practice guidelines implementation

Cited by 2,703

Leveraging artificial intelligence to improve chronic disease care: methods and application to pharmacotherapy decision support for type-2 diabetes mellitus

Tarumi, S., Takeuchi, W., Chalkidis, G., Rodriguez-Loya, S., Kuwata, J., Flynn, M., Turner, K. M., Sakaguchi, F. H., Weir, C., Kramer, H., et al. (2021) · Methods of Information in Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 84

Machine Learning Operations in Health Care: A Scoping Review

Rajagopal, A., Ayanian, S., Ryu, A. J., Qian, R., Legler, S. R., Peeler, E. A., Issa, M., Coons, T. J., & Kawamoto, K. (2024) · Mayo Clinic Proceedings: Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 52

Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction

Morid, M. A., Sheng, O. R. L., Kawamoto, K., & Abdelrahman, S. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 49

Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources

Tarumi, S., Takeuchi, W., Qi, R., Ning, X., Ruppert, L., Ban, H., Robertson, D. H., Schleyer, T., & Kawamoto, K. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 12