Presenting a Model for Detecting Osteoporosis In Active Older Men Using the Support Vector Machine Algorithm
Background and Aims: Fractures due to osteoporosis impose high economic costs on patients and the health care system. Data mining has many applications in various fields, including medicine and sports, due to its ability to process large amounts of data and reduce detection time. Therefore, this stu...
Main Authors: | Leila Fasihi, Bakhtyar Tartibian, Rasoul Eslami |
---|---|
Format: | Article |
Language: | fas |
Published: |
Shahid Beheshti University of Medical Sciences
2022-11-01
|
Series: | Ṭibb-i Tavānbakhshī |
Subjects: | |
Online Access: | http://medrehab.sbmu.ac.ir/article_1101378_7ab6f53e76a953ccfe745dbff656fbe2.pdf |
Similar Items
-
Correlation Between Serum Calcium, Phosphorus, and Alkaline Phosphatase Indices With Lumbar Bone Mineral Density In Active And Inactive Postmenopausal Women
by: Bakhtyar Tartibian, et al.
Published: (2022-03-01) -
Evaluation of Osteoporosis and Osteoporotic Fracture Risk in Men: A Retrospective Study
by: Uğur Ertem, et al.
Published: (2022-04-01) -
Artificial intelligence used to diagnose osteoporosis from risk factors in clinical data and proposing sports protocols
by: Leila Fasihi, et al.
Published: (2022-10-01) -
The Characteristics of Male Patients Diagnosed with Osteoporosis - Original Investigation
by: İlknur Aktaş, et al.
Published: (2006-12-01) -
Male Osteoporosis in Our Population
by: Seher Kocaoğlu, et al.
Published: (2002-12-01)