Lotty Hooft
2001–2025 年に発表
- 123
- 論文数
- 33,684
- 被引用数
- 74
- h 指数
- 115
- i10 指数
被引用数
引用元
国・地域
機関
- University College London0.6%
- Harvard University0.6%
- University Medical Center Utrecht0.6%
- University of Oxford0.6%
- University of Toronto0.5%
- Inserm0.4%
- その他96.7%
分野
- Medicine73.9%
- Computer Science4.7%
- Biochemistry, Genetics and Molecular Biology3.6%
- Health Professions3.1%
- Decision Sciences2.4%
- Neuroscience2.3%
- その他10%
トピック
- COVID-19 Clinical Research Studies3.7%
- Artificial Intelligence in Healthcare and Education3.3%
- COVID-19 diagnosis using AI2.7%
- SARS-CoV-2 and COVID-19 Research2.6%
- SARS-CoV-2 detection and testing2.5%
- Radiomics and Machine Learning in Medical Imaging2.1%
- その他83.1%
共著者
- Karel G.M. Moons33
- Johanna AAG Damen29
- René Spijker29
- Mariska Leeflang28
- Johannes B. Reitsma23
- Gary S. Collins20
- Jonathan J Deeks19
- Yemisi Takwoingi17
- Daniël A. Korevaar16
- Patrick M. Bossuyt16
- Pauline Heus16
- Richard D Riley16
- Ann Van den Bruel15
- Jacqueline Dinnes15
- Rob Scholten15
- Kevin Jenniskens13
- Paula Dhiman13
- Cochrane COVID-19 Diagnostic Test Accuracy Group12
- Constanza L. Andaur Navarro12
- Jérémie F. Cohen12
- Clare Davenport11
- Devy Emperador11
- Jie Ma10
- Matthew D. F. McInnes10
全論文
- Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies
著者: Matthew D. F. McInnes, David Moher, Brett D. Thombs, Trevor A. McGrath, Patrick M. Bossuyt, and the PRISMA-DTA Group, Tammy Clifford, Jérémie F. Cohen, Jonathan J Deeks, Constantine Gatsonis, Lotty Hooft, Harriet Hunt, Christopher Hyde, Daniël A. Korevaar, Mariska Leeflang, Petra Macaskill, Johannes B. Reitsma, Rachel Rodin, Anne WS Rutjes, Jean‐Paul Salameh, Adrienne Stevens, Yemisi Takwoingi, Marcello Tonelli, Laura Weeks, Penny Whiting, Brian H Willis - JAMA 2018 被引用: 3,055
- STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
著者: Jérémie F. Cohen, Daniël A. Korevaar, Douglas G. Altman, David E. Bruns, Constantine Gatsonis, Lotty Hooft, Les Irwig, Deborah Levine, Johannes B. Reitsma, Henrica C. W. de Vet, Patrick M. Bossuyt - BMJ Open 2016 被引用: 2,490
- Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
著者: Gary S. Collins, Paula Dhiman, Constanza L. Andaur Navarro, Jie Ma, Lotty Hooft, Johannes B. Reitsma, Patrícia Logullo, Andrew L. Beam, Lily Peng, Ben Van Calster, Maarten van Smeden, Richard D Riley, Karel G.M. Moons - BMJ Open 2021 被引用: 803
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
著者: Laure Wynants, Ben Van Calster, Gary S. Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Elena Albu, Banafsheh Arshi, Vanesa Bellou, Marc J. M. Bonten, Darren Dahly, Johanna AAG Damen, Thomas P. A. Debray, Valentijn M. T. de Jong, Maarten De Vos, Paula Dhiman, Joie Ensor, Shan Gao, Maria Haller, Michael O. Harhay, Liesbet Henckaerts, Pauline Heus, Jeroen Hoogland, Mohammed T Hudda, Kevin Jenniskens, Michael Kammer, Nina Kreuzberger, Anna Lohmann, Brooke Levis, 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 Smits, Kym I E Snell, Matthew Sperrin, René Spijker, Ewout W. Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander M. J. van Kuijk, Bas C. T. van Bussel, Iwan C.C. van der Horst, Kelly Reeve, Florien S van Royen, Jan Y. Verbakel, Christine Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel G.M. Moons, Maarten van Smeden - BMJ 2020 被引用: 3,238
- Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
著者: Anne A. H. de Hond, Artuur M. Leeuwenberg, Lotty Hooft, Ilse M. J. Kant, Steven W. J. Nijman, Hendrikus J. A. van Os, Jiska J. Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G. M. Moons - npj Digital Medicine, npj Digit. Medicine 2022 被引用: 479
- Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist
著者: Jean‐Paul Salameh, Patrick M. Bossuyt, Trevor A. McGrath, Brett D. Thombs, Christopher Hyde, Petra Macaskill, Jonathan J Deeks, Mariska Leeflang, Daniël A. Korevaar, Penny Whiting, Yemisi Takwoingi, Johannes B. Reitsma, Jérémie F. Cohen, Robert Frank, Harriet Hunt, Lotty Hooft, Anne WS Rutjes, Brian H Willis, Constantine Gatsonis, Brooke Levis, David Moher, Matthew D. F. McInnes - BMJ 2020 被引用: 688
- STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies
著者: Patrick M. Bossuyt, Johannes B. Reitsma, David E. Bruns, Constantine Gatsonis, Paul Glasziou, Les Irwig, Jeroen G. Lijmer, David Moher, Drummond Rennie, Henrica C. W. de Vet, Herbert Y. Kressel, Nader Rifai, Robert Golub, Douglas G. Altman, Lotty Hooft, Daniël A. Korevaar, Jérémie F. Cohen, For the STARD Group - Radiology 2015 被引用: 1,305
- Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
著者: Viknesh Sounderajah, Hutan Ashrafian, Robert Golub, Shravya Shetty, Jeffrey De Fauw, Lotty Hooft, Karel G.M. Moons, Gary S. Collins, David Moher, Patrick M. Bossuyt, Ara Darzi, Alan Karthikesalingam, Alastair K. Denniston, Bilal A. Mateen, Daniel Shu Wei Ting, Darren Treanor, Dominic King, Felix Greaves, Jonathan Godwin, Jonathan Pearson‐Stuttard, Leanne Harling, Matthew D. F. McInnes, Nader Rifai, Nenad Tomašev, Pasha Normahani, Penny Whiting, Ravi Aggarwal, Sebastian J. Vollmer, Sheraz R. Markar, Trishan Panch, Xiaoxuan Liu - BMJ Open 2021 被引用: 312
- A guide to systematic review and meta-analysis of prognostic factor studies
著者: Richard D Riley, Karel G.M. Moons, Kym I E Snell, Joie Ensor, Lotty Hooft, Douglas G. Altman, Jill A. Hayden, Gary S. Collins, Thomas P. A. Debray - BMJ 2019 被引用: 749
- Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
著者: Constanza L. Andaur Navarro, Johanna AAG Damen, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary S. Collins, Ram Bajpai, Richard D Riley, Karel Moons, Lotty Hooft - BMJ 2021 被引用: 358
- Prediction models for cardiovascular disease risk in the general population: systematic review
著者: Johanna AAG Damen, Lotty Hooft, Ewoud Schuit, Thomas P. A. Debray, Gary S. Collins, Ioanna Tzoulaki, Camille Lassale, George C.M. Siontis, Virginia Chiocchia, Corran Roberts, Michael Maia Schlüssel, Stephen Gerry, James A Black, Pauline Heus, Yvonne T. van der Schouw, Linda M. Peelen, Karel G.M. Moons - BMJ 2016 被引用: 937
- A guide to systematic review and meta-analysis of prediction model performance
著者: Thomas P. A. Debray, Johanna AAG Damen, Kym I E Snell, Joie Ensor, Lotty Hooft, Johannes B. Reitsma, Richard D Riley, Karel G.M. Moons - BMJ 2017 被引用: 639
- STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies
著者: Patrick M. Bossuyt, Johannes B. Reitsma, David E. Bruns, Constantine Gatsonis, Paul Glasziou, Les Irwig, Jeroen G. Lijmer, David Moher, Drummond Rennie, Henrica C. W. de Vet, Herbert Y. Kressel, Nader Rifai, Robert Golub, Douglas G. Altman, Lotty Hooft, Daniël A. Korevaar, Jérémie F. Cohen - BMJ 2015 被引用: 3,338
- GRADE guidelines: 21 part 2. Test accuracy: inconsistency, imprecision, publication bias, and other domains for rating the certainty of evidence and presenting it in evidence profiles and summary of findings tables
著者: Holger J. Schünemann, Reem A. Mustafa, Jan Brozek, Karen R. Steingart, Mariska Leeflang, Mohammad Hassan Murad, Patrick Bossuyt, Paul Glasziou, Roman Jaeschke, Stefan Lange, Joerg Meerpohl, Miranda Langendam, Monica Hultcrantz, Gunn E. Vist, Elie A. Akl, Mark Helfand, Nancy Santesso, Lotty Hooft, Rob Scholten, Måns Rosen, Anne Rutjes, Mark Crowther, Paola Muti, Heike Raatz, Mohammed T. Ansari, John Williams, Regina Kunz, Jeff Harris, Ingrid Arévalo Rodriguez, Mikashmi Kohli, Gordon H. Guyatt - Journal of Clinical Epidemiology 2020 被引用: 364
- PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
著者: Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul, Lotty Hooft, Constanza L. Andaur Navarro, Paula Dhiman, Andrew L. Beam, Ben Van Calster, Leo Anthony Celi, Spiros Denaxas, Alastair K. Denniston, Marzyeh Ghassemi, Georg Heinze, André Pascal Kengne, Lena Maier‐Hein, Xiaoxuan Liu, Patrícia Logullo, Melissa D. McCradden, Nan Liu, Lauren Oakden‐Rayner, Karandeep Singh, Daniel Shu Wei Ting, Laure Wynants, Bada Yang, Johannes B. Reitsma, Richard D Riley, Gary S. Collins, Maarten van Smeden - BMJ 2025 被引用: 383
- A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
著者: Thomas P. A. Debray, Johanna AAG Damen, Richard D Riley, Kym I E Snell, Johannes B. Reitsma, Lotty Hooft, Gary S. Collins, Karel G.M. Moons - Statistical Methods in Medical Research 2018 被引用: 269
- Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study
著者: Wynanda A. van Enst, Eleanor Ochodo, Rob Scholten, Lotty Hooft, Mariska Leeflang - BMC Medical Research Methodology 2014 被引用: 443
- GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy
著者: Holger J. Schünemann, Reem A. Mustafa, Jan Brożek, Karen R Steingart, Mariska Leeflang, M. Hassan Murad, Patrick M. Bossuyt, Paul Glasziou, Roman Jaeschke, Stefan Lange, Joerg J Meerpohl, Miranda Langendam, Monica Hultcrantz, Gunn Elisabeth Vist, Elie A. Akl, Mark Helfand, Nancy Santesso, Lotty Hooft, Rob Scholten, Måns Rosén, Anne WS Rutjes, Mark Crowther, Paola Muti, Heike Raatz, Mohammed T Ansari, John W Williams, Regina Kunz, Jeff Harris, Íngrid Arévalo Rodríguez, Mikashmi Kohli, Gordon Guyatt - Journal of Clinical Epidemiology 2020 被引用: 383
- Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
著者: Constanza L. Andaur Navarro, Johanna AAG Damen, Maarten van Smeden, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary S. Collins, Ram Bajpai, Richard D Riley, Karel G.M. Moons, Lotty Hooft - Journal of Clinical Epidemiology 2022 被引用: 105
- Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
著者: Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett S. Bullock, Johanna AAG Damen, Lotty Hooft, Shona Kirtley, Richard D Riley, Ben Van Calster, Karel G.M. Moons, Gary S. Collins - BMC Medical Research Methodology 2022 被引用: 138
- Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis
著者: Johanna AAG Damen, Romin Pajouheshnia, Pauline Heus, Karel G.M. Moons, Johannes B. Reitsma, Rob Scholten, Lotty Hooft, Thomas P. A. Debray - BMC Medicine 2019 被引用: 252
- Variation of a test’s sensitivity and specificity with disease prevalence
著者: Mariska Leeflang, Anne WS Rutjes, Johannes B. Reitsma, Lotty Hooft, Patrick M. Bossuyt - Canadian Medical Association Journal 2013 被引用: 523
- Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models
著者: Constanza L. Andaur Navarro, Johanna AAG 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 - Journal of Clinical Epidemiology 2023 被引用: 61
- How to conduct a systematic review and meta-analysis of prognostic model studies
著者: Johanna AAG Damen, Karel G.M. Moons, Maarten van Smeden, Lotty Hooft - Clinical Microbiology and Infection 2022 被引用: 107
