Clustering Analysis of Ankle–Brachial Index Related Metabolic and Body Composition Profiles Using K-Means Approach
Heri Kristianto, Paulus Lucky Tirma Irawan, Akhiyan Hadi Susanto, Kemala Andhini Kusumaayu, Delvira Audy Susita, Illa Billah, Nasywa Zahra Aprillisna, Nabila Ramadhani · 2026
Read Clustering Analysis of Ankle–Brachial Index Related Metabolic and Body Composition Profiles Using K-Means Approach by Heri Kristianto, Paulus Lucky Tirma Irawan, Akhiyan Hadi Susanto, Kemala Andhini Kusumaayu, Delvira Audy Susita, Illa Billah, Nasywa Zahra Aprillisna, Nabila Ramadhani (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13252039.txt.
Description
Kristianto and colleagues group patients by metabolic and body profiles linked to the ankle-brachial index, a leg blood flow test. Their 2026 Vascular Health and Risk Management study covers more than one thousand people seen at clinics and hospitals around Malang, Indonesia, between 2023 and 2025. Thirteen measures, from blood pressure to body composition, fed the analysis.
A k-means algorithm split the group into two clusters, running from healthier profiles to high cardiometabolic risk. Trimming the inputs to seven features sharpened the grouping, with belly fat, resting metabolism, and body mass leading. The authors stress the clusters describe patterns rather than diagnoses or predictions. They suggest the approach could help nurses and clinicians think about leg circulation risk, pending validation.
Catalog record
| CREATOR | Heri Kristianto, Paulus Lucky Tirma Irawan, Akhiyan Hadi Susanto, Kemala Andhini Kusumaayu, Delvira Audy Susita, Illa Billah, Nasywa Zahra Aprillisna, Nabila Ramadhani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |