Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study
Authors
Christina Pamporaki (ORCID: https://orcid.org/0000-0003-0772-1604)
Hanna Remde (ORCID: https://orcid.org/0000-0002-3499-5910)
Felix Beuschlein (ORCID: https://orcid.org/0000-0001-7826-3984)
Martin Faßnacht (ORCID: https://orcid.org/0000-0001-6170-6398)
Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study
Christina Pamporaki, Hanna Remde, Felix Beuschlein, Martin Faßnacht et al.
Citations
3 citations
Journal
EClinicalMedicine
Topics
Explainable Artificial Intelligence (XAI)
Field-Weighted Citation Impact (FWCI)
7.44
article
Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study
Christina Pamporaki, Hanna Remde, Felix Beuschlein, Martin Faßnacht, Angelos Filippatos, Mirko Peitzsch, Annika M.A. Berends, Graeme Eisenhofer, Georg Pommer, Aleksander Prejbisz, Karel Pacák, Georgiana Constantinescu, Ioannis D. Apostolopoulos, Matthew A. Nazari
article en
3 citations
Abstract
No abstract available for this paper.
Publication Tag
EClinicalMedicineVol. 82
Institutions
National Institutes of Health (US), University Medical Center Groningen (NL), University of Thessaly (GR), University of Patras (GR), University of Zurich (CH), University of Würzburg (DE), Universitätsklinikum Würzburg (DE), Institute of Cardiology (PL), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), University Hospital Carl Gustav Carus (DE), Technische Universität Dresden (DE), Ludwig-Maximilians-Universität München (DE)
Ask Laika to Summarize, Analyze, and Connect papers live on the map.
Summarize Papers & Methodologies
Extract key findings, datasets, and comparative methods across publications.
Benchmark Rankings & Visual Analytics
Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.
Connect Distant Disciplines
Bridge topological clusters on the map to find hidden collaborative intersections.
Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study — Christina Pamporaki, Hanna Remde, et al. · EClinicalMedicine (2025) | TGRS Research Map | TGRS