A machine learning based study to assess bone health in a diabetic cohort
<p dir="ltr">Diabetes mellitus (DM) and osteoporosis/osteopenia affect millions of people globally and are major health conditions in several countries including Qatar. <u>Bone mineral density </u>(BMD) is a widely accepted indicator for diagnosing osteoporosis (OP) and o...
Saved in:
| Main Author: | Saleh Musleh (15279190) (author) |
|---|---|
| Other Authors: | Anjanarani Nazeemudeen (17058015) (author), Mohammad Tariqul Islam (7854059) (author), Nady El Hajj (686554) (author), Tanvir Alam (638619) (author) |
| Published: |
2022
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health
by: Belqes Alsadi (18695031)
Published: (2024) -
Comparative assessment of fracture risk among osteoporosis and osteopenia patients: a cross-sectional study
by: Snezana Tomasevic-Todorovic (5782682)
Published: (2018) -
Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors
by: Md. Tawkat Islam Khondaker (16870107)
Published: (2020) -
Examining depression, antidepressants use, and class and their potential associations with osteoporosis and fractures in adult women: Results from ten NHANES cohorts
by: Rajha, Humam Emad
Published: (2025) -
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
by: Hamada R. H. Al-Absi (16726299)
Published: (2022)