Introducing the TOP framework: a novel phenotyping solution for collaborative phenotype algorithm development and application
Christoph Beger, Dorothea Strobach, Ralph Schäfermeier, Franz Matthies, Konrad Höffner, Alexandr Uciteli · 2026
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Description
Christoph Beger and colleagues introduce, in a 2026 paper, a software suite that helps medical teams define patient types precisely and find them in data. Phenotyping, describing the observable traits that define a condition, is often done by hand and varies between groups. Their TOP framework lets users define traits formally, organize them into a structured hierarchy, and build disease models. A sample case built around a liver failure score shows the machinery in action.
Queries generated by the suite can pull matching patients from records automatically. Built-in testing checks that definitions behave as intended. Eleven users rated the experience, scoring appeal and practical quality clearly on the positive side of the scale. The authors claim gains in speed, scale, and reproducibility for studies that depend on exact patient definitions, a need precision medicine keeps sharpening.
Catalog record
| CREATOR | Christoph Beger, Dorothea Strobach, Ralph Schäfermeier, Franz Matthies, Konrad Höffner, Alexandr Uciteli |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 82 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |