ABSTRACT NUMBER: ESOC2026A2135 IDENTIFICATION OF ISCHEMIC STROKE SUBTYPES BY CLUSTER ANALYSIS AND THEIR LONG-TERM VASCULAR EVENT RISK
Mine Sezgin, Ozan Alp, Elif Begik, Mehmet Sait Bingöl, Muhammed Yusuf Cansever, Cemal Kerem Karaduman, Esme Ekizoglu, Nilufer Yesilot, Mehmet Güven Günver · 2026
Read ABSTRACT NUMBER: ESOC2026A2135 IDENTIFICATION OF ISCHEMIC STROKE SUBTYPES BY CLUSTER ANALYSIS AND THEIR LONG-TERM VASCULAR EVENT RISK by Mine Sezgin, Ozan Alp, Elif Begik, Mehmet Sait Bingöl, Muhammed Yusuf Cansever, Cemal Kerem Karaduman, Esme Ekizoglu, Nilufer Yesilot, Mehmet Güven Günver (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-13144894.txt.
Description
Mine Sezgin and co-authors cluster ischemic stroke patients by traits and outcomes in a 2026 conference paper. Stroke from blocked vessels has many causes and varied paths. Long-term data by subtype are often lacking, so grouping by shared traits may help.
Records covered patients diagnosed from 2012 to 2018 at their center. Of more than twelve hundred patients, about eight hundred had enough follow-up. A clustering method found three groups as the best split. One group was younger with higher blood values, one older with more severe strokes, and one carried the most heart-related illness.
Catalog record
| CREATOR | Mine Sezgin, Ozan Alp, Elif Begik, Mehmet Sait Bingöl, Muhammed Yusuf Cansever, Cemal Kerem Karaduman, Esme Ekizoglu, Nilufer Yesilot, Mehmet Güven Günver |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |