Gianfrancesco, Milena A.
University of California, San Francisco
6 papers on CoChatORCID 0000-0002-8351-4626
Most cited papers
- Verified
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018) · JAMA Internal Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 1,395
- Verified
Factors associated with COVID-19-related death in people with rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance physician-reported registry
Strangfeld, A., Schäfer, M., Gianfrancesco, M. A., Lawson-Tovey, S., Liew, J. W., Ljung, L., Mateus, E. F., Richez, C., Santos, M. J., Schmajuk, G., et al. (2021) · Annals of the Rheumatic Diseases
COVID-19 Clinical Research StudiesRheumatoid Arthritis Research and Therapies
Cited by 667
- Verified
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.
Norgeot, B., Quer, G., Beaulieu-Jones, B. K., Torkamani, A., Dias, R., Gianfrancesco, M., Arnaout, R., Kohane, I. S., Saria, S., Topol, E., et al. (2020) · Nature Medicine
Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)
Cited by 665
- Verified
Associations of baseline use of biologic or targeted synthetic DMARDs with COVID-19 severity in rheumatoid arthritis: Results from the COVID-19 Global Rheumatology Alliance physician registry
Sparks, J. A., Wallace, Z. S., Seet, A. M., Gianfrancesco, M. A., Izadi, Z., Hyrich, K. L., Strangfeld, A., Gossec, L., Carmona, L., Mateus, E. F., et al. (2021) · Annals of the Rheumatic Diseases
Rheumatoid Arthritis Research and TherapiesCOVID-19 Clinical Research Studies
Cited by 238
- Verified
Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies
George, M. F., Briggs, F. B. S., Shao, X., Gianfrancesco, M. A., Kockum, I., Harbo, H. F., Celius, E. G., Bos, S. D., Hedström, A., Shen, L., et al. (2016) · Neurology Genetics
Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology
Cited by 86
- Verified
High consumption of coffee is associated with decreased multiple sclerosis risk; results from two independent studies
Hedström, A. K., Mowry, E. M., Gianfrancesco, M. A., Shao, X., Schaefer, C. A., Shen, L., Olsson, T., Barcellos, L. F., & Alfredsson, L. (2016) · Journal of Neurology, Neurosurgery & Psychiatry
Multiple Sclerosis Research StudiesCoffee research and impacts
Cited by 77
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