Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach
Background: Diabetes is a serious health concern requiring effective diagnostic strategies, particularly since its symptoms overlap with those of other conditions. Despite extensive research on early diabetes detection across various age groups, middle-aged adults have been relatively underexplore...
Saved in:
| Main Authors: | Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2024-10-01
|
| Series: | Journal of Diabetology |
| Subjects: | |
| Online Access: | https://journals.lww.com/jodb/fulltext/2024/15040/prediction_of_diabetes_in_middle_aged_adults__a.11.aspx |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study
by: Jeewuan Kim, et al.
Published: (2025-05-01) -
Analysis of the current status and associated factors of depressive symptoms in Chinese middle-aged and elderly stroke patients—based on CHARLS data
by: Yage Shi, et al.
Published: (2025-06-01) -
Correction: Analysis of the current status and associated factors of depressive symptoms in Chinese middle-aged and elderly stroke patients—based on CHARLS data
by: Yage Shi, et al.
Published: (2025-07-01) -
Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool
by: Qiankun Liu, et al.
Published: (2024-12-01) -
Change in depressive symptom scores to assess the risk of new-onset dual sensory impairment in middle-aged and older adults: a nationwide cohort study
by: Jiang Wang, et al.
Published: (2025-03-01)