David C. Kale

2.5k citations

16 papers · 943 indexed · 1 hit paper · h-index 11

Impact in

Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 0.5%
- Artificial Intelligence in Healthcare

Papers in

Health Informatics 1
Signal Processing 5
- Time Series Analysis and Forecasting 5

Co-authors: Yan Liu Kenneth Jung Mark Sendak Jean‐Louis Vincent Finale Doshi‐Velez Suchi Saria Mohammed Saeed Marzyeh Ghassemi
Journals: Veterinary Surgery (1 paper)Nature Medicine (1 paper)Journal of Community Health (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)International Conference on Learning Representations (1 paper)
Partner nations: United States Canada

In The Last Decade

David C. Kale

16 papers receiving 906 citations

Hit Papers

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Do no harm: a roadmap for responsible machine learning for health care 2019 · 506 citations

Peers

Countries citing papers authored by David C. Kale

Since Specialization

Citations

This map shows the geographic impact of David C. Kale's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David C. Kale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Kale more than expected).

Fields of papers citing papers by David C. Kale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Kale. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David C. Kale. The network helps show where David C. Kale may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David C. Kale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David C. Kale Line = papers co-authored together David C. Kale links everyone, so they are left out of the graph.

All Works

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16 of 16 papers shown

#	Work
1	Do no harm: a roadmap for responsible machine learning for health care Nature Medicine ·Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Jean‐Louis Vincent, Finale Doshi‐Velez, Kenneth Jung, Katherine Heller, David C. Kale, Mohammed Saeed, Pilar N. Ossorio, Sonoo Thadaney-Israni, Anna Goldenberg Hit paper breakdown →	2019	506
2	The Effectiveness of Transfer Learning in Electronic Health Records Data International Conference on Learning Representations ·Sébastien Dubois, 博嗣柳川, Kenneth Jung, Nigam H. Shah, David C. Kale	2017	5
3	Collecting and Analyzing Millions of mHealth Data Streams Kwang-Yong Chang, Luca Foschini, Alessio Signorini, David C. Kale	2017	9
4	Functional Subspace Clustering with Application to Time Series International Conference on Machine Learning ·Mohammad Taha Bahadori, David C. Kale, Yingying Fan, Yan Liu	2015	14
5	Deep Computational Phenotyping Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu	2015	159
6	Hierarchical Active Transfer Learning David C. Kale, Marjan Ghazvininejad, Hayashi Hideo, Jingrui He, Yan Liu	2015	11
7	Causal Phenotype Discovery via Deep Networks. PubMed ·David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel	2015	15
8	An Examination of Multivariate Time Series Hashing with Applications to Health Care David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard Medioni, Randall C. Wetzel, Patrick Ross	2014	22
9	The Effect of Neighborhood and Individual Characteristics on Pediatric Critical Illness Journal of Community Health ·D. Epstein, Michael Reibel, Jennifer B. Unger, Myles Cockburn, Loraine A. Escobedo, David C. Kale, Cleveland R Denton, Jeffrey I. Gold	2014	60
10	Accelerating Active Learning with Transfer Learning David C. Kale, Yan Liu	2013	21
11	Hemilaminectomy for thoracolumbar Hansen Type I intervertebral disk disease in ambulatory dogs with or without neurologic deficits: 39 cases (2008–2010) Veterinary Surgery ·敬人紺野, David C. Kale, Daniel Rodríguez-Tenorio	2013	19
12	Unsupervised pattern discovery in electronic health care data using probabilistic clustering models Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel	2012	84
13	Predicting Serum PH Using Non-Invasive Measurements To Enable Decision Support For Mechanically Ventilated Children With Acute Lung Injury Robinder G. Khemani, David C. Kale, Patrick A. Ross, Randall C. Wetzel, Christopher J. L. Newth	2012	1
14	Sim•TwentyFive: an interactive visualization system for data-driven decision support. PubMed ·P. Mireault, David C. Kale, Amar K. Das	2012	10
15	An informatics architecture for the Virtual Pediatric Intensive Care Unit Daniel Crichton, C. A. Mattmann, Andrew F. Hart, David C. Kale, Robinder G. Khemani, Patrick A. Ross, Sarah Rubin, Denise Kwan, Amy Braverman, Sylvie Courteau, Randall C. Wetzel	2011	4
16	Estimating the position of illuminants in paintings under weak model assumptions: an application to the works of two Baroque masters Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David C. Kale, David G. Stork	2009	3

About David C. Kale

David C. Kale is a scholar working on Health Informatics, Signal Processing, Health Information Management, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 16 papers that have together received 943 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Time Series Analysis and Forecasting (5 papers), Machine Learning and Algorithms (2 papers), Biomedical Text Mining and Ontologies (2 papers), Data Stream Mining Techniques (2 papers), Electronic Health Records Systems (2 papers), Airway Management and Intubation Techniques (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Health Informatics (261 citations), Health Information Management (179 citations), Artificial Intelligence (467 citations), Family Practice (18 citations) and Signal Processing (84 citations). David C. Kale has collaborated with scholars based in United States and Canada. Frequent co-authors include Yan Liu, Kenneth Jung, Mark Sendak, Jean‐Louis Vincent, Finale Doshi‐Velez, Suchi Saria, Mohammed Saeed, Marzyeh Ghassemi, Sonoo Thadaney-Israni and Pilar N. Ossorio. Their work appears in journals such as Veterinary Surgery, Nature Medicine, Journal of Community Health, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and International Conference on Learning Representations.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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