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Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

التفاصيل البيبلوغرافية
العنوان: Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
المؤلفون: Benjamin Y. Gravesteijn, Daan Nieboer, Ari Ercole, Hester F. Lingsma, David Nelson, Ben van Calster, Ewout W. Steyerberg, Cecilia Åkerlund, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Anna Antoni, Gérard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Pál Barzó, Romuald Beauvais, Ronny Beer, Bo-Michael Bellander, Antonio Belli, Habib Benali, Maurizio Berardino, Luigi Beretta, Morten Blaabjerg, Peter Bragge, Alexandra Brazinova, Vibeke Brinck, Joanne Brooker, Camilla Brorsson, Andras Buki, Monika Bullinger, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Giorgio Chevallard, Arturo Chieregato, Giuseppe Citerio, Maryse Cnossen, Mark Coburn, Jonathan Coles, D. Jamie Cooper, Marta Correia, Amra Čović, Nicola Curry, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Helen Dawes, Véronique De Keyser, Vincent Degos, Francesco Della Corte, Hugo den Boogert, Bart Depreitere, Đula Đilvesi, Abhishek Dixit, Emma Donoghue, Jens Dreier Guy-Loup Dulière, Patrick Esser, Erzsébet Ezer Martin Fabricius, Valery L. Feigin, Kelly Foks, Shirin Frisvold, Alex Furmanov, Pablo Gagliardo, Damien Galanaud, Dashiell Gantner, Guoyi Gao, Pradeep George, Alexandre Ghuysen, Lelde Giga, Ben Glocker, Jagoš Golubovic, Pedro A. Gomez, Johannes Gratz, Benjamin Gravesteijn, Francesca Grossi, Russell L. Gruen, Deepak Gupta, Juanita A. Haagsma, Iain Haitsma, Raimund Helbok, Eirik Helseth, Lindsay Horton, Jilske Huijben, Peter J. Hutchinson, Bram Jacobs, Stefan Jankowski, Mike Jarrett Ji-yao Jiang, Kelly Jones, Mladen Karan, Angelos G. Kolias, Erwin Kompanje, Daniel Kondziella, Evgenios Koraropoulos, Lars-Owe Koskinen, Noémi Kovács, Alfonso Lagares, Linda Lanyon, Steven Laureys, Fiona Lecky, Rolf Lefering, Valerie Legrand, Aurelie Lejeune, Leon Levi, Roger Lightfoot, Hester Lingsma, Andrew I.R. Maas, Ana M. Castaño-León, Marc Maegele, Marek Majdan, Alex Manara, Geoffrey Manley, Costanza Martino, Hugues Maréchal, Julia Mattern, Catherine McMahon, Béla Melegh, David Menon, Tomas Menovsky, Davide Mulazzi, Visakh Muraleedharan, Lynnette Murray, Nandesh Nair, Ancuta Negru, Virginia Newcombe, Quentin Noirhomme, József Nyirádi, Otesile Olubukola, Matej Oresic, Fabrizio Ortolano, Aarno Palotie, Paul M. Parizel, Jean-François Payen, Natascha Perera, Vincent Perlbarg, Paolo Persona, Wilco Peul, Anna Piippo-Karjalainen, Matti Pirinen, Horia Ples, Suzanne Polinder, Inigo Pomposo, Jussi P. Posti, Louis Puybasset, Andreea Radoi, Arminas Ragauskas, Rahul Raj, Malinka Rambadagalla, Ruben Real, Jonathan Rhodes, Sylvia Richardson, Sophie Richter, Samuli Ripatti, Saulius Rocka, Cecilie Roe, Olav Roise, Jonathan Rosand, Jeffrey V. Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Daniel Rueckert, Martin Rusnák, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Janos Sandor, Nadine Schäfer, Silke Schmidt, Herbert Schoechl, Guus Schoonman, Rico Frederik Schou, Elisabeth Schwendenwein, Charlie Sewalt, Toril Skandsen, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Simon Stanworth, Ana Kowark, Robert Stevens, William Stewart, Nino Stocchetti, Nina Sundström, Anneliese Synnot, Riikka Takala, Viktória Tamás, Tomas Tamosuitis, Mark Steven Taylor, Braden Te Ao, Olli Tenovuo, Alice Theadom, Matt Thomas, Dick Tibboel, Marjolein Timmers, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Peter Vajkoczy, Shirley Vallance, Egils Valeinis, Zoltán Vámos, Gregory Van der Steen, Joukje van der Naalt, Jeroen T.J.M. van Dijck, Thomas A. van Essen, Wim Van Hecke, Caroline van Heugten, Dominique Van Praag, Thijs Vande Vyvere, Audrey Vanhaudenhuyse, Roel P.J. van Wijk, Alessia Vargiolu, Emmanuel Vega, Kimberley Velt, Jan Verheyden, Paul M. Vespa, Anne Vik, Rimantas Vilcinis, Victor Volovici, Nicole von Steinbüchel, Daphne Voormolen, Petar Vulekovic, Kevin K.W. Wang, Eveline Wiegers, Guy Williams, Lindsay Wilson, Stefan Winzeck, Stefan Wolf, Zhihui Yang, Peter Ylén, Alexander Younsi, Frederik A. Zeiler, Veronika Zelinkova, Agate Ziverte, Tommaso Zoerle
المساهمون: Gravesteijn, B. Y., Nieboer, D., Ercole, A., Lingsma, H. F., Nelson, D., van Calster, B., Steyerberg E. W., (CENTER-TBI collaborators), Beretta, L., Ercole, Ari [0000-0001-8350-8093], Apollo - University of Cambridge Repository, Section Neuropsychology, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: FPN NPPP I, Psychiatrie & Neuropsychologie, Molecular Neuroscience and Ageing Research (MOLAR), Gravesteijn, B, Nieboer, D, Ercole, A, Lingsma, H, Nelson, D, van Calster, B, Steyerberg, E, Akerlund, C, Amrein, K, Andelic, N, Andreassen, L, Anke, A, Antoni, A, Audibert, G, Azouvi, P, Azzolini, M, Bartels, R, Barzo, P, Beauvais, R, Beer, R, Bellander, B, Belli, A, Benali, H, Berardino, M, Beretta, L, Blaabjerg, M, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Cabeleira, M, Caccioppola, A, Calappi, E, Calvi, M, Cameron, P, Lozano, G, Carbonara, M, Chevallard, G, Chieregato, A, Citerio, G, Cnossen, M, Coburn, M, Coles, J, Cooper, D, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Dawes, Ragauskas, Arminas, Ročka, Saulius, Tamošuitis, Tomas, Vilcinis, Rimantas, Public Health, Tamosuitis, Tomas, „Elsevier Science' grupė, Academic Medical Center, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, HUS Neurocenter, Statistical and population genetics, Department of Mathematics and Statistics, Biostatistics Helsinki, Clinicum, Helsinki University Hospital Area, Neurokirurgian yksikkö, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics
المصدر: Journal of Clinical Epidemiology, 122, 95-107. Elsevier Science
Journal of Clinical Epidemiology, 122, 95-107. ELSEVIER SCIENCE INC
Journal of Clinical Epidemiology
Journal of clinical epidemiology, New York : Elsevier, 2020, vol. 122, p. 95-107
Journal of Clinical Epidemiology, 122, 95-107. Elsevier Inc.
Gravesteijn, B Y, Nieboer, D, Ercole, A, Lingsma, H F, Nelson, D, van Calster, B, Steyerberg, E W, Åkerlund, C, Amrein, K, Andelic, N, Andreassen, L, Anke, A, Antoni, A, Audibert, G, Azouvi, P, Azzolini, M L, Bartels, R, Barzó, P, Beauvais, R, Beer, R, Bellander, B M, Belli, A, Benali, H, Berardino, M, Beretta, L, Blaabjerg, M, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Cabeleira, M, Caccioppola, A, Calappi, E, Calvi, M R, Cameron, P, Lozano, G C, Carbonara, M, Chevallard, G, Chieregato, A, Citerio, G, Cnossen, M, Coburn, M, Coles, J, Cooper, D J, Correia, M, Čović, A, Kondziella, D & CENTER-TBI collaborators 2020, ' Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury ', Journal of Clinical Epidemiology, vol. 122, pp. 95-107 . https://doi.org/10.1016/j.jclinepi.2020.03.005
Journal of clinical epidemiology, 122, 95-107. Elsevier USA
Gravesteijn, B Y, Nieboer, D, Ercole, A, Lingsma, H F, Nelson, D, van Calster, B, Steyerberg, E W, Ylén, J-P & CENTER-TBI collaborators 2020, ' Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury ', Journal of Clinical Epidemiology, vol. 122, pp. 95-107 . https://doi.org/10.1016/j.jclinepi.2020.03.005
بيانات النشر: Elsevier USA, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Male, Epidemiology, Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy), Logistic regression, computer.software_genre, Data science, Machine Learning, 0302 clinical medicine, Traumatic brain injury, Brain Injuries, Traumatic, Medicine, 030212 general & internal medicine, Decision Making, Computer-Assisted, Glasgow Outcome Scale, Regression analysis, Middle Aged, Prognosis, 3142 Public health care science, environmental and occupational health, Regression, Random forest, Female, TUTORIAL, Cohort study, Algorithm, Algorithms, Adult, BIG DATA, Prognosi, cohort study, data science, machine learning, prediction, prognosis, traumatic brain injury, Machine learning, VALIDATION, 03 medical and health sciences, VDP::Teknologi: 500::Medisinsk teknologi: 620, Humans, VDP::Medisinske Fag: 700, Glasgow Coma Scale, Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci), Models, Statistical, business.industry, CARE, 3141 Health care science, VDP::Medical disciplines: 700, Logistic Models, Cohort study, Data science, Machine learning, Prediction, Prognosis, Traumatic brain injury, Artificial intelligence, Gradient boosting, business, Prediction, computer, 030217 neurology & neurosurgery, Predictive modelling, VDP::Technology: 500::Medical technology: 620
الوصف: OBJECTIVE: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. STUDY DESIGN AND SETTING: We performed logistic (LR), lasso, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n=11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks, and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with GCS
Data used in preparation of this manuscript were obtained in the context of CENTER-TBI, a large collaborative project with the support of the European Union 7th Framework program (EC grant 602150). Additional funding was obtained from the Hannelore Kohl Stiftung (Germany), the OneMind (USA) and the Integra LifeSciences Corporation (USA). The funder had no role in the study design, enrollment, collection of data, writing, or publication decisions.
وصف الملف: application/pdf; Print-Electronic
اللغة: English
تدمد: 0895-4356
1878-5921
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23da15a14484a3e4248814da46817a4f
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....23da15a14484a3e4248814da46817a4f
قاعدة البيانات: OpenAIRE
الوصف
تدمد:08954356
18785921