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AHRQ Health IT Projects Publication Database
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This database serves as a central repository for publications resulting from AHRQ Health IT funded work that is PubMed or Google Scholar indexed, including: book chapters, journal articles, conference proceedings, and reports from funded contracts.
Displaying 1 - 7 of 7
Machine learning techniques for prediction of early childhood obesity.
Citation:
Dugan TM, Mukhopadhyay S, Carroll A, et al. Machine learning techniques for prediction of early childhood obesity. Appl Clin Inform 2015 Aug 12;6(3):506-20. PMID: 26448795
Principal Investigator:
How do residents spend their time in the intensive care unit?
Citation:
Carayon P, Weinger MB, Brown R, et al. How do residents spend their time in the intensive care unit? Am J Med Sci 2015 Nov;350(5):403–8. PMID: 26171828.
Principal Investigator:
Project Name:
Secondhand smoke exposure, parental depressive symptoms and preschool behavioral outcomes.
Citation:
Bauer NS, Anand V, Carroll AE, et al. Secondhand smoke exposure, parental depressive symptoms and preschool behavioral outcomes. J Pediatr Nurs 2015 Jan-Feb;30(1):227-35. PMID: 25017291.
Principal Investigator:
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
Citation:
Hendrix KS, Downs SM, Carroll AE. Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness? Acad Pediatr 2015 Mar-Apr;15(2):158-64. PMID: 25619917.
Principal Investigator:
Machine learning techniques for prediction of early childhood obesity.
Citation:
Dugan TM, Mukhopadhyay S, Carroll A, et al. Machine learning techniques for prediction of early childhood obesity. Appl Clin Inform 2015 Aug 12;6(3):506-20. PMID: 26448795
Principal Investigator:
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
Citation:
Carroll AE, Bauer NS, Dugan TM, et al. Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. JAMA Pediatr 2014 Sep;168(9):815-21. PMID: 25022724.
Principal Investigator:
Patient-tailored prioritization for a pediatric care decision support system through machine learning.
Citation:
Klann JG, Anand V, Downs SM. Patient-tailored prioritization for a pediatric care decision support system through machine learning. J Am Med Inform Assoc 2013 Dec;20(e2):e267-74. PMID: 23886921.
Principal Investigator:
