University of Pittsburgh Health Sciences eLearning Environment Internet-based Studies in Education and Research
INTRODUCTION
QUIZ
EVALUATION
CERTIFICATE
Credit Hours: CME 0.50
This activity is intended for pediatricians, pulmonologists, infectious disease specialists, nurse practitioners, and nurses.
At the conclusion of this activity, participants will be able to:
- Describe and learn about machine learning.
- Recognize how machine learning is being used in research in Pediatrics.
- Explain the limits of the current machine learning and how someone can start doing the research.
SPECIAL NOTE:
| There is no educational content to this course. This course is designed to supplement training that has already occurred. This course is designed to only administer the post-test and collect CME evaluations. |
- Blease C, Kaptchuk TJ, Bernstein MH, Mandl KD, Halamka JD, DesRoches CM. Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views. J Med Internet Res. 2019;21(3):e12802. Published 2019 Mar 20. doi:10.2196/12802.
- Shilpa J. Patel, Daniel Chamberlain, James M. Chamberlain. A Machine-Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage. Pediatrics. May 2018, 142 (1 MeetingAbstract) 116; DOI: 10.1542/peds.142.1_MeetingAbstract.116
- Paul L. Hebert, Jodie G. Katon. Repurposing of Administrative Data for Research: Still Useful but for How Much Longer? Pediatrics Feb 2019, 143 (2) e20183293; DOI: 10.1542/peds.2018-3293.
- Tawfik DS, Gould JB, Profit J. Perinatal risk factors and outcome coding in clinical and administrative databases. Pediatrics. 2019;143(2):e20181487.
No relationships with industry relevant to the content of this educational activity have been disclosed.
No relationships with industry relevant to the content of this educational activity have been disclosed.
The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of Pittsburgh School of Medicine designates this enduring material for a maximum of 0.5 AMA PRA Category 1 Credits. Each physician should only claim credit commensurate with the extent of their participation in the activity.
The University of Pittsburgh is an affirmative action, equal opportunity institution.