التفاصيل البيبلوغرافية
| العنوان: |
ID: 3520519 LOGISTIC REGRESSION AND MACHINE LEARNING METHODS PREDICT CHOLEDOCHOLITHIASIS MORE ACCURATELY COMPARED TO CURRENT CRITERIA |
| المؤلفون: |
Camellia Dalai, Harry Trieu, James H. Tabibian, Anand Rajan, John M. Azizian |
| المصدر: |
Gastrointestinal Endoscopy. 93:AB145-AB146 |
| بيانات النشر: |
Elsevier BV, 2021. |
| سنة النشر: |
2021 |
| مصطلحات موضوعية: |
business.industry, Gastroenterology, Medicine, Radiology, Nuclear Medicine and imaging, Artificial intelligence, Current (fluid), business, Logistic regression, Machine learning, computer.software_genre, computer |
| تدمد: |
0016-5107 |
| DOI: |
10.1016/j.gie.2021.03.972 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c1444a172d349a5aa879cfa2d13426
https://doi.org/10.1016/j.gie.2021.03.972 |
| Rights: |
CLOSED |
| رقم الانضمام: |
edsair.doi...........d2c1444a172d349a5aa879cfa2d13426 |
| قاعدة البيانات: |
OpenAIRE |