Wisconsin quality of life machine learning algorithm for predicting quality of life in kidney stone patients

التفاصيل البيبلوغرافية
العنوان:	Wisconsin quality of life machine learning algorithm for predicting quality of life in kidney stone patients
المؤلفون:	D-D. Nguyen, J.W. Luo, J.R.Z. Lim, K.B. Scotland, S.K. Bechis, R.L. Sur, S.Y. Nakada, J.A. Antonelli, N.M. Streeper, S. Sivalingam, D.P. Viprakasit, T.D. Averch, J. Landman, T. Chi, Jr. V.M. Pais, V.G. Bird, S. Andonian, N.E. Canvasser, J.D. Harper, B.H. Chew, K.L. Penniston, N. Bhojani
المصدر:	European Urology Open Science, Vol 19, Iss , Pp e1195-e1196 (2020)
بيانات النشر:	Elsevier, 2020.
سنة النشر:	2020
المجموعة:	LCC:Diseases of the genitourinary system. Urology LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية:	Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
نوع الوثيقة:	article
وصف الملف:	electronic resource
اللغة:	English
تدمد:	2666-1683
Relation:	http://www.sciencedirect.com/science/article/pii/S2666168320333851; https://doaj.org/toc/2666-1683
DOI:	10.1016/S2666-1683(20)33385-1
URL الوصول:	https://doaj.org/article/e16dc68c66f84e478dc5e44ed174cc90
رقم الأكسشن:	edsdoj.16dc68c66f84e478dc5e44ed174cc90
قاعدة البيانات:	Directory of Open Access Journals

الوصف
تدمد:	26661683
DOI:	10.1016/S2666-1683(20)33385-1