Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States
Publication
, Conference
Saul, B; Kilpatrick, RD; McGrath, LJ; Reams, D; Wegrzyn, L; Chiuve, SE; Brookhart, MA
Published in: PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
August 1, 2019
Duke Scholars
Published In
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
EISSN
1099-1557
ISSN
1053-8569
Publication Date
August 1, 2019
Volume
28
Start / End Page
228 / 229
Publisher
WILEY
Related Subject Headings
- Pharmacology & Pharmacy
- 4202 Epidemiology
- 3214 Pharmacology and pharmaceutical sciences
- 1117 Public Health and Health Services
- 1115 Pharmacology and Pharmaceutical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Saul, B., Kilpatrick, R. D., McGrath, L. J., Reams, D., Wegrzyn, L., Chiuve, S. E., & Brookhart, M. A. (2019). Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States. In PHARMACOEPIDEMIOLOGY AND DRUG SAFETY (Vol. 28, pp. 228–229). WILEY.
Saul, Bradley, Ryan D. Kilpatrick, Leah J. McGrath, Diane Reams, Lani Wegrzyn, Stephanie E. Chiuve, and M Alan Brookhart. “Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States.” In PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 28:228–29. WILEY, 2019.
Saul B, Kilpatrick RD, McGrath LJ, Reams D, Wegrzyn L, Chiuve SE, et al. Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States. In: PHARMACOEPIDEMIOLOGY AND DRUG SAFETY. WILEY; 2019. p. 228–9.
Saul, Bradley, et al. “Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States.” PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, vol. 28, WILEY, 2019, pp. 228–29.
Saul B, Kilpatrick RD, McGrath LJ, Reams D, Wegrzyn L, Chiuve SE, Brookhart MA. Performance of machine learning algorithms for hysterectomy risk prediction among women with endometriosis in the United States. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY. WILEY; 2019. p. 228–229.
Published In
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
EISSN
1099-1557
ISSN
1053-8569
Publication Date
August 1, 2019
Volume
28
Start / End Page
228 / 229
Publisher
WILEY
Related Subject Headings
- Pharmacology & Pharmacy
- 4202 Epidemiology
- 3214 Pharmacology and pharmaceutical sciences
- 1117 Public Health and Health Services
- 1115 Pharmacology and Pharmaceutical Sciences