Fang, Ruogu

Computational Health Informatics in the Big Data Age: A Survey

Fang, R., Pouyanfar, S., Yang, Y., Chen, S.-C., & Iyengar, S. S. (2017) · ACM Computing Surveys

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 210

Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study

Archer, D. B., Bricker, J. T., Chu, W. T., Burciu, R. G., McCracken, J. L., Lai, S., Coombes, S. A., Fang, R., Barmpoutis, A., Corcos, D. M., et al. (2019) · The Lancet Digital Health

Parkinson's Disease Mechanisms and TreatmentsAdvanced Neuroimaging Techniques and Applications

Cited by 124

Machine learning and individual variability in electric field characteristics predict tDCS treatment response

Albizu, A., Fang, R., Indahlastari, A., O’Shea, A., Stolte, S. E., See, K. B., Boutzoukas, E. M., Kraft, J. N., Nissim, N. R., & Woods, A. J. (2020) · Brain Stimulation

Transcranial Magnetic Stimulation StudiesElectroconvulsive Therapy Studies

Cited by 79

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting

Yang, X., Bian, J., Fang, R., Bjarnadottir, R. I., Hogan, W. R., & Wu, Y. (2020) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 74

Association of longitudinal cognitive decline with diffusion MRI in gray matter, amyloid, and tau deposition

Wang, W.-E., Chen, R., Mayrand, R. P., Adjouadi, M., Fang, R., DeKosky, S. T., Duara, R., Coombes, S. A., & Vaillancourt, D. E. (2023) · Neurobiology of Aging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 20