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Constanza L Andaur Navarro
Researcher at Utrecht University
Publications - 9
Citations - 2375
Constanza L Andaur Navarro is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 2, co-authored 4 publications receiving 1378 citations. Previous affiliations of Constanza L Andaur Navarro include Oklahoma State University Center for Health Sciences & University Medical Center Utrecht.
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Journal ArticleDOI
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants,Laure Wynants,Ben Van Calster,Ben Van Calster,Gary S. Collins,Gary S. Collins,Richard D Riley,Georg Heinze,Ewoud Schuit,Marc J.M. Bonten,Darren Dahly,Johanna A A G Damen,Thomas P. A. Debray,Valentijn M.T. de Jong,Maarten De Vos,Paula Dhiman,Paula Dhiman,Maria C Haller,Michael O. Harhay,Liesbet Henckaerts,Pauline Heus,Michael Kammer,Nina Kreuzberger,Anna Lohmann,Kim Luijken,Jie Ma,Glen P. Martin,David J. McLernon,Constanza L Andaur Navarro,Johannes B. Reitsma,Jamie C. Sergeant,Chunhu Shi,Nicole Skoetz,Luc J.M. Smits,Kym I E Snell,Matthew Sperrin,René Spijker,René Spijker,Ewout W. Steyerberg,Toshihiko Takada,Ioanna Tzoulaki,Ioanna Tzoulaki,Sander M. J. van Kuijk,Bas C T van Bussel,Bas C T van Bussel,Iwan C. C. van der Horst,Florien S. van Royen,Jan Y Verbakel,Jan Y Verbakel,Christine Wallisch,Christine Wallisch,Jack Wilkinson,Robert Wolff,Lotty Hooft,Karel G.M. Moons,Maarten van Smeden +55 more
TL;DR: Proposed models for covid-19 are poorly reported, at high risk of bias, and their reported performance is probably optimistic, according to a review of published and preprint reports.
Journal ArticleDOI
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Constanza L Andaur Navarro,Johanna A A G Damen,Toshihiko Takada,Steven W J Nijman,Paula Dhiman,Jie Ma,Gary S. Collins,Ram Bajpai,Richard D Riley,Karel G.M. Moons,Lotty Hooft +10 more
TL;DR: In this article, the authors assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties and assess the risk of bias using the prediction risk-of-biased assessment tool (PROBAST).
Journal ArticleDOI
Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.
Constanza L Andaur Navarro,Constanza L Andaur Navarro,Johanna A A G Damen,Johanna A A G Damen,Toshihiko Takada,Steven W J Nijman,Paula Dhiman,Jie Ma,Gary S. Collins,Ram Bajpai,Richard D Riley,Karel G.M. Moons,Karel G.M. Moons,Lotty Hooft,Lotty Hooft +14 more
TL;DR: This comprehensive systematic review aims to evaluate the reporting quality, the methodological conduct, and the risk of bias of prediction model studies that applied ML techniques for model development and/or validation that used AI or ML techniques.
Journal ArticleDOI
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.
Paula Dhiman,Jie Ma,Constanza L Andaur Navarro,Benjamin Speich,Garrett S Bullock,Johanna A. A. G. Damen,Shona Kirtley,Lotty Hooft,Richard D Riley,Ben Van Calster,Karel G.M. Moons,Gary S. Collins +11 more
TL;DR: The authors conducted a systematic review, searching the MEDLINE and Embase databases between 01/01/2019 and 05/09/2019, for non-imaging studies developing a prognostic clinical prediction model using machine learning methods in oncology.
Journal ArticleDOI
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
Paula Dhiman,Constanza L Andaur Navarro,Benjamin Speich,Garrett S. Bullock,Johanna A A G Damen,Lotty Hooft,Shona Kirtley,Richard D Riley,Ben Van Calster,Karel G.M. Moons,Gary S. Collins +10 more
TL;DR: The authors conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/2019, for studies developing a prognostic prediction model using machine learning methods in oncology.