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Michael D. Howell
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2020 – today
- 2021
- [j3]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
:
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021) - 2020
- [j2]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:
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20(1): 14 (2020) - [c8]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CHIL 2020: 80-89
2010 – 2019
- 2019
- [i2]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CoRR abs/1907.04911 (2019) - 2018
- [j1]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:
Scalable and accurate deep learning with electronic health records. npj Digit. Medicine 1 (2018) - [i1]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:
Scalable and accurate deep learning for electronic health records. CoRR abs/1801.07860 (2018) - 2017
- [c7]Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum:
A Deeper Exploration of Contagious Risk and the Neighborhood Effect. CRI 2017 - 2012
- [c6]James E. Gray, Shane R. Reti, Henry J. Feldman, Patricia Folcarelli, Xiaoning Lu, Roger B. Davis, Michael D. Howell, Charles Safran:
Network Analysis of Digital Crumbs from an Electronic Health Record: From newborns to adults, ideas to applications. AMIA 2012 - 2011
- [c5]Federico Cismondi, André S. Fialho, Susana M. Vieira
, João M. C. Sousa
, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein:
Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data. CIDM 2011: 224-231 - [c4]Federico Cismondi, André S. Fialho, Susana M. Vieira
, João M. C. Sousa
, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein:
Predicting laboratory testing in intensive care using fuzzy and neural modeling. FUZZ-IEEE 2011: 2096-2103 - [c3]André S. Fialho, Federico Cismondi, Susana M. Vieira
, João M. C. Sousa
, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein:
Fuzzy modeling to predict administration of vasopressors in intensive care unit patients. FUZZ-IEEE 2011: 2296-2303 - [c2]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:
Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification. FUZZ-IEEE 2011: 2507-2512 - 2010
- [c1]André S. Fialho, Federico Cismondi, Susana M. Vieira
, João Miguel da Costa Sousa
, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein:
Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques. IPMU (2) 2010: 65-74
Coauthor Index
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last updated on 2024-04-24 23:12 CEST by the dblp team
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