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Scalable and accurate deep learning with electronic health records.

A. Rajkomar, E. Oren, K. Chen, A. Dai, N. Hajaj, M. Hardt, P. Liu, X. Liu, J. Marcus, M. Sun, P. Sundberg, H. Yee, K. Zhang, Y. Zhang, G. Flores, G. Duggan, J. Irvine, Q. Le, K. Litsch, A. Mossin, J. Tansuwan, D. Wang, J. Wexler, J. Wilson, D. Ludwig, S. Volchenboum, K. Chou, M. Pearson, S. Madabushi, N. Shah, A. Butte, M. Howell, C. Cui, G. Corrado, and J. Dean. npj Digit. Medicine, (2018)

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Fred Howell

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Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification.R. Pereira, A. Fialho, F. Cismondi, S. Vieira, J. Sousa, R. Almeida, U. Kaymak, S. Reti, M. Howell, and S. Finkelstein. FUZZ-IEEE, page 2507-2512. IEEE, (2011)Explaining an increase in predicted risk for clinical alerts.M. Hardt, A. Rajkomar, G. Flores, A. Dai, M. Howell, G. Corrado, C. Cui, and M. Hardt. CHIL, page 80-89. ACM, (2020)Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data.F. Cismondi, A. Fialho, S. Vieira, J. Sousa, S. Reti, M. Howell, and S. Finkelstein. CIDM, page 224-231. IEEE, (2011)A Deeper Exploration of Contagious Risk and the Neighborhood Effect.A. Mayampurath, D. Edelson, M. Howell, M. Churpek, and S. Volchenboum. CRI, AMIA, (2017)Fuzzy modeling to predict administration of vasopressors in intensive care unit patients.A. Fialho, F. Cismondi, S. Vieira, J. Sousa, S. Reti, L. Celi, M. Howell, and S. Finkelstein. FUZZ-IEEE, page 2296-2303. IEEE, (2011)Explaining an increase in predicted risk for clinical alerts.M. Hardt, A. Rajkomar, G. Flores, A. Dai, M. Howell, G. Corrado, C. Cui, and M. Hardt. CoRR, (2019)Network Analysis of Digital Crumbs from an Electronic Health Record: From newborns to adults, ideas to applications.J. Gray, S. Reti, H. Feldman, P. Folcarelli, X. Lu, R. Davis, M. Howell, and C. Safran. AMIA, AMIA, (2012)Predicting laboratory testing in intensive care using fuzzy and neural modeling.F. Cismondi, A. Fialho, S. Vieira, J. Sousa, S. Reti, L. Celi, M. Howell, and S. Finkelstein. FUZZ-IEEE, page 2096-2103. IEEE, (2011)Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques.A. Fialho, F. Cismondi, S. Vieira, J. da Costa Sousa, S. Reti, M. Howell, and S. Finkelstein. IPMU (2), volume 81 of Communications in Computer and Information Science, page 65-74. Springer, (2010)Scalable and accurate deep learning for electronic health records.A. Rajkomar, E. Oren, K. Chen, A. Dai, N. Hajaj, P. Liu, X. Liu, M. Sun, P. Sundberg, H. Yee and 24 other author(s). CoRR, (2018)

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Disambiguation of "Howell, Michael D."

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Scalable and accurate deep learning with electronic health records.

Please choose a person to relate this publication to

Fred Howell

Caitlin Howell

Howell Tong

Shaun Howell

John Howell

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Howell, Michael D."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable and accurate deep learning with electronic health records.

Please choose a person to relate this publication to

Fred Howell

Caitlin Howell

Howell Tong

Shaun Howell

John Howell

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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Chicago
DIN 1505
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Scalable and accurate deep learning with electronic health records.