Michael D. Howell

According to our database, Michael D. Howell authored at least 12 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

Privacy-first health research with federated learning.

Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez

npj Digit. Medicine, 2021

2020

Customization scenarios for de-identification of clinical notes.

Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias

BMC Medical Informatics Decis. Mak., 2020

Explaining an increase in predicted risk for clinical alerts.

Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2018

Scalable and accurate deep learning with electronic health records.

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean

npj Digit. Medicine, 2018

Scalable and accurate deep learning for electronic health records.

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc V. Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg Corrado, Jeff Dean

CoRR, 2018

2017

A Deeper Exploration of Contagious Risk and the Neighborhood Effect.

Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum

Proceedings of the Summit on Clinical Research Informatics, 2017

2012

Network Analysis of Digital Crumbs from an Electronic Health Record: From newborns to adults, ideas to applications.

James E. Gray, Shane R. Reti, Henry J. Feldman, Patricia Folcarelli, Xiaoning Lu, Roger B. Davis, Michael D. Howell, Charles Safran

Proceedings of the AMIA 2012, 2012

2011

Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification.

Ruben D. M. A. Pereira, André S. Fialho, Federico Cismondi, Susana M. Vieira, João M. C. Sousa, Rui Jorge Almeida, Uzay Kaymak, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein

Proceedings of the FUZZ-IEEE 2011, 2011

Fuzzy modeling to predict administration of vasopressors in intensive care unit patients.

André S. Fialho, Federico Cismondi, Susana M. Vieira, João M. C. Sousa, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein

Proceedings of the FUZZ-IEEE 2011, 2011

Predicting laboratory testing in intensive care using fuzzy and neural modeling.

Federico Cismondi, André S. Fialho, Susana M. Vieira, João M. C. Sousa, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein

Proceedings of the FUZZ-IEEE 2011, 2011

Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data.

Federico Cismondi, André S. Fialho, Susana M. Vieira, João M. C. Sousa, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques.

André S. Fialho, Federico Cismondi, Susana M. Vieira, João Miguel da Costa Sousa, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010