The Schedule

Journal Club

Presenter: Arturo Lopez Pineda, PhD

Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Sundberg, P. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18.

https://www.nature.com/articles/s41746-018-0029-1

Journal Club

Cancelled

Journal Club

Presenter: Gilberto Gonzalez Arroyo, BS, MS

McGurnaghan, S. J., Weir, A., Bishop, J., Kennedy, S., Blackbourn, L. A., McAllister, D. A., ... & O'Reilly, J. E. (2020). Risks of and risk factors for COVID-19 disease in people with diabetes: a cohort study of the total population of Scotland. The Lancet Diabetes & Endocrinology.

https://www.sciencedirect.com/science/article/pii/S2213858720304058

Journal Club

Presenter: Arturo Lopez Pineda, PhD

Seymour, C. W., Kennedy, J. N., Wang, S., Chang, C. C. H., Elliott, C. F., Xu, Z., ... & Angus, D. C. (2019). Derivation, validation, and potential treatment implications of novel clinical phenotypes for sepsis. Jama, 321(20), 2003-2017.

https://jamanetwork.com/journals/jama/fullarticle/2733996

Journal Club

Presenter: Gilberto Gonzalez Arroyo, BS, MS

Ravaut, M., Sadeghi, H., Leung, K. K., Volkovs, M., Kornas, K., Harish, V., ... & Rosella, L. (2021). Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. NPJ digital medicine, 4(1), 1-12.

https://www.nature.com/articles/s41746-021-00394-8

Journal Club

Presenter: Arturo Lopez Pineda, PhD

Lee, C., Light, A., Alaa, A., Thurtle, D., van der Schaar, M., & Gnanapragasam, V. J. (2021). Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database. The Lancet Digital Health.

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext

Journal Club

Presenter: Arturo Lopez Pineda, PhD & Sergio M. Castro, MD

Mukherjee, S. S., Yu, J., Won, Y., McClay, M. J., Wang, L., Rush, A. J., & Sarkar, J. (2020). Natural Language Processing-Based Quantification of the Mental State of Psychiatric Patients. Computational Psychiatry, 4.

https://cpsyjournal.org/articles/10.1162/cpsy_a_00030/

Journal Club

Presenter: Marco A. Nava Aguilar, BS

Meyer, A., Zverinski, D., Pfahringer, B., Kempfert, J., Kuehne, T., Sündermann, S. H., ... & Eickhoff, C. (2018). Machine learning for real-time prediction of complications in critical care: a retrospective study. The Lancet Respiratory Medicine, 6(12), 905-914.

https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(18)30300-X/fulltext

Journal Club

Presenter: Martha Alvarez Paredes, MD

Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., ... & Segal, E. (2015). Personalized nutrition by prediction of glycemic responses. Cell, 163(5), 1079-1094.

https://www.cell.com/fulltext/S0092-8674(15)01481-6