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Keith Feldman, PhD

TitleResearch Faculty PhD
InstitutionChildren's Mercy Kansas City
DepartmentPediatrics
Address2401 Gillham Rd.
Kansas City MO 64108
ORCID ORCID Icon0000-0001-6935-5844 Additional info
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    Other Positions
    TitleAssistant Professor of Pediatrics
    InstitutionUniversity of Missouri-Kansas City
    DepartmentPediatrics


    Collapse Biography 
    Collapse education and training
    University of Notre Dame, Notre Dame, INMS2017Computer Science and Engineering
    University of Notre Dame, Notre Dame, INPhD2018Computer Science and Engineering

    Collapse Overview 

    Collapse Research 
    Collapse research overview
    Dr. Feldman is an informatics researcher interested in the application of statistical, data mining and machine learning techniques to problems across the healthcare domain. With a focus on translational research, his work utilizes a heterogeneous array of clinical, operational and population-level data sources to better understand the data we collect, apply and analyze computational models, and ultimately evaluate and synthesize new knowledge around the practice and administration of healthcare

    Working closely with multidisciplinary teams, Dr. Feldman’s work is deeply tied to the potential of informatics to understand variability within patient conditions and outcomes. Ultimately seeking to identify evidenced-based risk factors and treatment patterns that can be used to better inform the quality and effectiveness of care. Notably, embedded at the core of his work lies the notion of “augmentation, not automation”. Where he seeks to enhance the effectiveness of those engaged in the healthcare system, augmenting their existing skill sets rather than replacing the individual.

    Collapse Bibliography 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
    List All   |   Timeline
    1. Faust L, Feldman K, Mattingly SM, Hachen D, V Chawla N. Deviations from normal bedtimes are associated with short-term increases in resting heart rate. NPJ Digit Med. 2020; 3:39. PMID: 32219180.
      View in: PubMed
    2. Nehme F, Feldman K. Evolving Role and Future Directions of Natural Language Processing in Gastroenterology. Dig Dis Sci. 2020 Feb 27. PMID: 32107677.
      View in: PubMed
    3. Feldman K, Solymos GMB, de Albuquerque MP, Chawla NV. Unraveling Complexity about Childhood Obesity and Nutritional Interventions: Modeling Interactions Among Psychological Factors. Sci Rep. 2019 12 11; 9(1):18807. PMID: 31827160.
      View in: PubMed
    4. Faust L, Feldman K, Chawla NV. Examining the weekend effect across ICU performance metrics. Crit Care. 2019 Jun 06; 23(1):207. PMID: 31171026.
      View in: PubMed
    5. Gonya J, Harrison T, Feldman K, Stein M, Chawla N. Nursing networks in the NICU and their association with maternal stress: A pilot study. J Nurs Manag. 2019 Mar; 27(2):442-449. PMID: 30238539.
      View in: PubMed
    6. Gonya J, Feldman K, Brown K, Stein M, Keim S, Boone K, Rumpf W, Ray W, Chawla N, Butter E. Human interaction in the NICU and its association with outcomes on the Brief Infant-Toddler Social and Emotional Assessment (BITSEA). Early Hum Dev. 2018 12; 127:6-14. PMID: 30218893.
      View in: PubMed
    7. Feldman K, Johnson RA, Chawla NV. The State of Data in Healthcare: Path Towards Standardization. Journal of Healthcare Informatics Research. 2018.
    8. Feldman K, Kotoulas S, Chawla NV. TIQS: Targeted Iterative Question Selection for Health Interventions. Journal of Healthcare Informatics Research. 2018.
    9. Feldman K, Duarte M, Mikels-Carrasco W, Chawla NV. Leveraging health and wellness platforms to understand childhood obesity: A usability pilot of FitSpace. IEEE International Conference in Biomedical and Health Informatics (BHI). 2018.
    10. Feldman K, Faust L, Wu X, Huang C, Chawla NV. Beyond volume: the impact of complex healthcare data on the machine learning pipeline. Towards Integrative Machine Learning and Knowledge Extraction. Springer Cham. 2017.
    11. Nagrecha S, Thomas PB, Feldman K, Chawla NV. Predicting Chronic Heart Failure Using Diagnoses Graphs. International Cross-Domain Conference for Machine Learning and Knowledge Extraction. 2017.
    12. Feldman K, Hazekamp N, Chawla NV. Mining the Clinical Narrative: All Text are Not Equal. IEEE International Conference on Healthcare Informatics (ICHI). 2016.
    13. Feldman K, Stiglic G, Dasgupta D, Kricheff M, Obradovic Z, Chawla NV. Insights into Population Health Management Through Disease Diagnoses Networks. Sci Rep. 2016 07 27; 6:30465. PMID: 27461860.
      View in: PubMed
    14. Feldman K, Davis D, Chawla NV. Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration. J Biomed Inform. 2015 Oct; 57:377-85. PMID: 26254848.
      View in: PubMed
    15. Feldman K, Chawla NV. Does Medical School Training Relate to Practice? Evidence from Big Data. Big Data. 2015 Jun 01; 3(2):103-113. PMID: 26487985.
      View in: PubMed
    16. Feldman K, Chawla NV. Admission Duration Model for Infant Treatment (ADMIT). IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2014.
    17. Dasgupta D, Feldman K, Waghray D, Mikels-Carrasco WA, Willaert P, Raybold DA, Chawla NV. An integrated and digitized care framework for successful aging. IEEE International Conference on Biomedical and Health Informatics (BHI). 2014.
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