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Journal Articles
- 2024
[j9]Keith Feldman
, Natalie J. Kane, Stacey Daniels-Young, Bruce Reed, Jessica Welch, Lauren Fitzpatrick, Mark A. Hoffman, Andrea Bradley-Ewing, Elin Grundberg:
Utilization of geospatial distribution in the measurement of study cohort representativeness. J. Biomed. Informatics 157: 104687 (2024)- 2023
- [j8]Vincent S. Staggs, Keith Feldman:
Use of between-within degrees of freedom as an alternative to the Kenward-Roger method for small-sample inference in generalized linear mixed modeling of clustered count data. Commun. Stat. Simul. Comput. 52(10): 5099-5109 (2023) - 2022
- [j7]Keith Feldman, Ray G. Duncan, An Nguyen, Galen Cook-Wiens, Yaron Elad, Teryl Nuckols, Joshua M. Pevnick:
Will Apple devices' passive atrial fibrillation detection prevent strokes? Estimating the proportion of high-risk actionable patients with real-world user data. J. Am. Medical Informatics Assoc. 29(6): 1040-1049 (2022) - 2021
- [j6]Louis Faust, Keith Feldman, Suwen Lin, Stephen M. Mattingly, Sidney D'Mello, Nitesh V. Chawla:
Examining Response to Negative Life Events Through Fitness Tracker Data. Frontiers Digit. Health 3: 659088 (2021) - 2020
- [j5]Louis Faust, Keith Feldman, Stephen M. Mattingly, David Hachen, Nitesh V. Chawla:
Deviations from normal bedtimes are associated with short-term increases in resting heart rate. npj Digit. Medicine 3 (2020) - 2018
- [j4]Keith Feldman, Spyros Kotoulas, Nitesh V. Chawla:
TIQS: Targeted Iterative Question Selection for Health Interventions. J. Heal. Informatics Res. 2(3): 205-227 (2018) - [j3]Keith Feldman, Reid A. Johnson, Nitesh V. Chawla:
The State of Data in Healthcare: Path Towards Standardization. J. Heal. Informatics Res. 2(3): 248-271 (2018) - 2015
- [j2]Keith Feldman, Nitesh V. Chawla:
Does Medical School Training Relate to Practice? Evidence from Big Data. Big Data 3(2): 103-113 (2015) - [j1]Keith Feldman, Darcy A. Davis, Nitesh V. Chawla:
Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration. J. Biomed. Informatics 57: 377-385 (2015)
Conference and Workshop Papers
- 2024
- [c8]Steven J. Krieg, Nitesh V. Chawla, Keith Feldman:
Representing Outcome-Driven Higher-Order Dependencies in Graphs of Disease Trajectories. ICHI 2024: 11-20 - 2019
- [c7]Catherine Markley, Keith Feldman, Nitesh V. Chawla:
Outside the Hospital Walls: Associations of Value Based Care Metrics and Community Health Factors. BHI 2019: 1-4 - 2018
- [c6]Keith Feldman, Mayra Duarte, Waldo Mikels-Carrasco, Nitesh V. Chawla:
Leveraging health and wellness platforms to understand childhood obesity: A usability pilot of FitSpace. BHI 2018: 418-421 - 2017
- [c5]Saurabh Nagrecha, Pamela Bilo Thomas, Keith Feldman, Nitesh V. Chawla:
Predicting Chronic Heart Failure Using Diagnoses Graphs. CD-MAKE 2017: 295-312 - 2016
- [c4]Keith Feldman, Nicholas L. Hazekamp, Nitesh V. Chawla:
Mining the Clinical Narrative: All Text are Not Equal. ICHI 2016: 271-280 - 2015
- [c3]Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla:
Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. BIRS-IMLKE 2015: 150-169 - 2014
- [c2]Dipanwita Dasgupta, Keith Feldman, Disha Waghray, W. A. Mikels-Carrasco, Patty Willaert, Debra A. Raybold, Nitesh V. Chawla:
An integrated and digitized care framework for successful aging. BHI 2014: 440-443 - [c1]Keith Feldman, Nitesh V. Chawla:
Admission duration model for infant treatment (ADMIT). BIBM 2014: 583-587
Informal and Other Publications
- 2023
- [i2]Steven J. Krieg, Nitesh V. Chawla, Keith Feldman:
Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories. CoRR abs/2312.15353 (2023) - 2017
- [i1]Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla:
Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. CoRR abs/1706.01513 (2017)
Coauthor Index
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