Keith Feldman
Keith Feldman
Children's Mercy Kansas City
Verified email at - Homepage
Cited by
Cited by
Does Medical School Training Relate to Practice? Evidence from Big Data
K Feldman, NV Chawla
Big data 3 (2), 103-113, 2015
The state of data in healthcare: path towards standardization
K Feldman, RA Johnson, NV Chawla
Journal of Healthcare Informatics Research 2, 248-271, 2018
Mining the clinical narrative: all text are not equal
K Feldman, N Hazekamp, NV Chawla
2016 IEEE international conference on healthcare informatics (ICHI), 271-280, 2016
Beyond volume: The impact of complex healthcare data on the machine learning pipeline
K Feldman, L Faust, X Wu, C Huang, NV Chawla
Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop …, 2017
Scaling and contextualizing personalized healthcare: a case study of disease prediction algorithm integration
K Feldman, D Davis, NV Chawla
Journal of biomedical informatics 57, 377-385, 2015
Deviations from normal bedtimes are associated with short-term increases in resting heart rate
L Faust, K Feldman, SM Mattingly, D Hachen, N V. Chawla
NPJ digital medicine 3 (1), 39, 2020
Utilization of the Naranjo scale to evaluate adverse drug reactions at a free-standing children’s hospital
M Murali, SL Suppes, K Feldman, JL Goldman
PloS one 16 (1), e0245368, 2021
Evolving role and future directions of natural language processing in gastroenterology
F Nehme, K Feldman
Digestive diseases and sciences 66 (1), 29-40, 2021
Human interaction in the NICU and its association with outcomes on the Brief Infant-Toddler Social and Emotional Assessment (BITSEA)
J Gonya, K Feldman, K Brown, M Stein, S Keim, K Boone, W Rumpf, ...
Early human development 127, 6-14, 2018
Insights into Population Health Management Through Disease Diagnoses Networks
K Feldman, G Stiglic, D Dasgupta, M Kricheff, Z Obradovic, NV Chawla
Scientific Reports 6, 2016
Nursing networks in the NICU and their association with maternal stress: A pilot study
J Gonya, T Harrison, K Feldman, M Stein, N Chawla
Journal of nursing management 27 (2), 442-449, 2019
Will Apple devices’ passive atrial fibrillation detection prevent strokes? Estimating the proportion of high-risk actionable patients with real-world user data
K Feldman, RG Duncan, A Nguyen, G Cook-Wiens, Y Elad, T Nuckols, ...
Journal of the American Medical Informatics Association 29 (6), 1040-1049, 2022
Examining the weekend effect across ICU performance metrics
L Faust, K Feldman, NV Chawla
Critical Care 23, 1-9, 2019
Scaling personalized healthcare with big data
K Feldman, NV Chawla
2nd International Conference on Big Data and Analytics in Healthcare …, 2014
Enhancing Pediatric Adverse Drug Reaction Documentation in the Electronic Medical Record
EM Tillman, SL Suppes, K Feldman, JL Goldman
The Journal of Clinical Pharmacology 61 (2), 181-186, 2021
Neurally adjusted ventilatory assist in neonates with congenital diaphragmatic hernia
Y Kurland, K Gurung, EK Pallotto, W Manimtim, K Feldman, VS Staggs, ...
Journal of Perinatology 41 (8), 1910-1915, 2021
Predicting chronic heart failure using diagnoses graphs
S Nagrecha, PB Thomas, K Feldman, NV Chawla
Machine Learning and Knowledge Extraction: First IFIP TC 5, WG 8.4, 8.9, 12 …, 2017
An integrated and digitized care framework for successful aging
D Dasgupta, K Feldman, D Waghray, WA Mikels-Carrasco, P Willaert, ...
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014
Identifying HbA1c trajectories and modifiable risk factors of trajectories in 5‐to 9‐year‐olds with recent‐onset type 1 diabetes from the United States
SR Patton, K Feldman, S Majidi, A Noser, MA Clements
Diabetic Medicine 38 (9), e14637, 2021
Examining Response to Negative Life Events Through Fitness Tracker Data
L Faust, K Feldman, S Lin, S Mattingly, S D'Mello, NV Chawla
Frontiers in Digital Health 3, 659088, 2021
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