Keith Feldman, PhD
Title | Research Faculty PhD |
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Institution | Children's Mercy Kansas City |
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Department | Pediatrics |
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Address | 2401 Gillham Rd Kansas City MO 64108
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ORCID
| 0000-0001-6935-5844 |
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vCard | Download vCard |
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Title | Assistant Professor of Pediatrics |
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Institution | University of Missouri-Kansas City |
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Department | Pediatrics |
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Biography University of Notre Dame, Notre Dame, IN | MS | 2017 | Computer Science and Engineering | University of Notre Dame, Notre Dame, IN | PhD | 2018 | Computer Science and Engineering |
Overview Research 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.
Bibliography
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Gibson M, Suppes S, Lovins JT, Tillman EM, Feldman K, Goldman J. Clinical Presentation and Management of Children with Suspected Serum Sickness-like Reaction. J Allergy Clin Immunol Pract. 2024 Aug 20. PMID: 39173968.
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Feldman K, Kane NJ, Daniels-Young S, Reed B, Welch J, Fitzpatrick L, Hoffman MA, Bradley-Ewing A, Grundberg E. Utilization of geospatial distribution in the measurement of study cohort representativeness. J Biomed Inform. 2024 Jul 08; 157:104687. PMID: 38986921.
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Feldman K, Suppes SL, Goldman JL. Clarification of adverse drug reactions by a pharmacovigilance team results in increased antibiotic re-prescribing at a freestanding United States children's hospital. PLoS One. 2024; 19(1):e0295410. PMID: 38215178.
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Smail C, Ge B, Keever-Keigher MR, Schwendinger-Schreck C, Cheung W, Johnston JJ, Barrett C, Feldman K, Cohen ASA, Farrow EG, Thiffault I, Grundberg E, Pastinen T. Complex trait associations in rare diseases and impacts on Mendelian variant interpretation. medRxiv. 2024 Jan 11. PMID: 38260377.
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Lysaught S, Erickson L, Marshall J, Feldman K. SSSH: Responsive soothing bassinet feasibility study for infants with congenital heart disease after cardiac surgery. J Pediatr Nurs. 2023 Nov-Dec; 73:e125-e133. PMID: 37598095.
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Feldman K, Heble DE, Hendrickson RJ, Fischer RT. Hepatic artery thrombosis and use of anticoagulants and antiplatelet agents in pediatric liver transplantation. Pediatr Transplant. 2024 02; 28(1):e14516. PMID: 37550273.
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Patel PS, Shah SK, Feldman K, Hancock HS, Moehlmann ML, Ricketts A, Files MD, McFarland C, Erickson L, Romans RA. Associations of Home Monitoring Data to Interventional Catheterization for Infants with Recurrent Coarctation of the Aorta and Hypoplastic Left Heart Syndrome. Pediatr Cardiol. 2023 Oct; 44(7):1462-1470. PMID: 37421465.
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Feldman K, Nehme F. Beyond Clinical Accuracy: Considerations for the Use of Generative Artificial Intelligence Models in Gastrointestinal Care. Gastroenterology. 2023 08; 165(2):336-338. PMID: 37321355.
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Feldman K, Baraboo J, Dinakarpandian D, Chan SS. Machine Learning Algorithm Improves the Prediction of Transplant Hepatic Artery Stenosis or Occlusion: A Single-Center Study. Ultrasound Q. 2023 Jun 01; 39(2):86-94. PMID: 36103456.
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Marchese DL, Feldman K, Sinn C, Javaid S, Jaffe A, Katz E, Lider J, Green MM, Marcus L, Swanson E, Gober J, Thomas SP, Deike D, Felman K, Sinha A, Dalal P, Ewing E, Hiller A, Rosenberg N, Mosher KA, Houtrow AJ, McLaughlin MJ. Rehabilitation Outcomes in Children With Acute Flaccid Myelitis From 2014 to 2019: A Multicenter Retrospective Review. Pediatr Neurol. 2023 Aug; 145:41-47. PMID: 37271056.
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Feldman K, Asta K, Gearhardt AN, Sturza JM, Appugliese D, Miller AL, Rosenblum K, Kong KL, Crandall AK, Lumeng JC. Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months. Appetite. 2023 06 01; 185:106525. PMID: 36898582.
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Santharam Y, Nitkin CR, Rajgarhia A, Oschman A, Lee B, Fischer R, Feldman K. Association between congenital heart disease and parenteral nutrition-associated liver disease in neonates: A retrospective cohort study. JPEN J Parenter Enteral Nutr. 2023 05; 47(4):501-510. PMID: 36772965.
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Feldman K, Rohan AJ. Data-Driven Nurse Staffing in the Neonatal Intensive Care Unit. MCN Am J Matern Child Nurs. 2022 Sep-Oct 01; 47(5):249-264. PMID: 35960217.
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Machado NM, Feldman K, Amaral LMD, Ronzani TM, Richter KP. Vaping, Perceptions of Vaping, and Plans to Quit Among E-cigarette Users in the United States and the United Kingdom. Nicotine Tob Res. 2022 08 06; 24(9):1504-1508. PMID: 35380698.
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Feldman K, Nitkin CR, Cuna A, Oschman A, Truog WE, Norberg M, Nyp M, Taylor JB, Lewis T. Corticosteroid response predicts bronchopulmonary dysplasia status at 36 weeks in preterm infants treated with dexamethasone: A pilot study. Pediatr Pulmonol. 2022 07; 57(7):1760-1769. PMID: 35434928.
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Feldman K, Duncan RG, Nguyen A, Cook-Wiens G, Elad Y, Nuckols T, Pevnick JM. Will Apple devices' passive atrial fibrillation detection prevent strokes? Estimating the proportion of high-risk actionable patients with real-world user data. J Am Med Inform Assoc. 2022 05 11; 29(6):1040-1049. PMID: 35190832.
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Feldman K, Kearns GL, Pearce RE, Abdel-Rahman SM, Steven Leeder J, Friesen A, Staggs VS, Gaedigk A, Weigel J, Shakhnovich V. Utility of the 13 C-pantoprazole breath test as a CYP2C19 phenotyping probe for children. Clin Transl Sci. 2022 05; 15(5):1155-1166. PMID: 35099109.
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Shwaish NS, Malloy-Walton L, Feldman K, Teson KM, Watson JS, Yeh HW, White DA. Heart Rate Recovery Following Exercise Testing in Pediatric Patients with Acyanotic Repaired Congenital Heart Disease. Pediatr Cardiol. 2022 Apr; 43(4):790-795. PMID: 34981139.
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Patton SR, Feldman K, Majidi S, Noser A, Clements MA. 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. Diabet Med. 2021 09; 38(9):e14637. PMID: 34240466.
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Kurland Y, Gurung K, Pallotto EK, Manimtim W, Feldman K, Staggs VS, Truog W. Neurally adjusted ventilatory assist in neonates with congenital diaphragmatic hernia. J Perinatol. 2021 08; 41(8):1910-1915. PMID: 34112964.
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Faust L, Feldman K, Lin S, Mattingly S, D'Mello S, Chawla NV. Examining Response to Negative Life Events Through Fitness Tracker Data. Front Digit Health. 2021; 3:659088. PMID: 34713131.
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Feldman K, Rohan AJ, Chawla NV. Discrete Heart Rate Values or Continuous Streams? Representation, Variability, and Meaningful Use of Vital Sign Data. Comput Inform Nurs. 2021 May 06; 39(11):793-803. PMID: 34747895.
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Murali M, Suppes SL, Feldman K, Goldman JL. Utilization of the Naranjo scale to evaluate adverse drug reactions at a free-standing children's hospital. PLoS One. 2021; 16(1):e0245368. PMID: 33439905.
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Tillman EM, Suppes SL, Feldman K, Goldman JL. Enhancing Pediatric Adverse Drug Reaction Documentation in the Electronic Medical Record. J Clin Pharmacol. 2021 02; 61(2):181-186. PMID: 32776356.
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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.
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Nehme F, Feldman K. Evolving Role and Future Directions of Natural Language Processing in Gastroenterology. Dig Dis Sci. 2021 01; 66(1):29-40. PMID: 32107677.
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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.
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Faust L, Feldman K, Chawla NV. Examining the weekend effect across ICU performance metrics. Crit Care. 2019 Jun 06; 23(1):207. PMID: 31171026.
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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.
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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.
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Feldman K, Johnson RA, Chawla NV. The State of Data in Healthcare: Path Towards Standardization. J Healthc Inform Res. 2018 Sep; 2(3):248-271. PMID: 35415409.
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Feldman K, Kotoulas S, Chawla NV. TIQS: Targeted Iterative Question Selection for Health Interventions. J Healthc Inform Res. 2018 Sep; 2(3):205-227. PMID: 35415407.
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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.
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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.
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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.
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Feldman K, Hazekamp N, Chawla NV. Mining the Clinical Narrative: All Text are Not Equal. IEEE International Conference on Healthcare Informatics (ICHI). 2016.
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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.
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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.
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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.
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Feldman K, Chawla NV. Admission Duration Model for Infant Treatment (ADMIT). IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2014.
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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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Year | Publications |
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2014 | 2 | 2015 | 2 | 2016 | 2 | 2017 | 2 | 2018 | 5 | 2019 | 2 | 2020 | 3 | 2021 | 5 | 2022 | 6 | 2023 | 8 | 2024 | 4 |
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