Guijo-Rubio, DavidBriceño, JavierGutiérrez, Pedro AntonioAyllón, Maria DoloresCiria, RubénHervás-Martínez, César2022-11-252022-11-252021-05-21Guijo-Rubio D, Briceño J, Gutiérrez PA, Ayllón MD, Ciria R, Hervás-Martínez C. Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation. PLoS One. 2021 May 21;16(5):e0252068http://hdl.handle.net/10668/4405Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a fair comparison, the United Network for Organ Sharing database was used with 4 different end-points (3 months, and 1, 2 and 5 years), with a total of 39, 189 D-R pairs and 28 donor and recipient variables. Modelling techniques were divided into two groups: 1) classical statistical methods, including Logistic Regression (LR) and Naïve Bayes (NB), and 2) standard machine learning techniques, including Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB) or Support Vector Machines (SVM), among others. The methods were compared with standard scores, MELD, SOFT and BAR. For the 5-years end-point, LR (AUC = 0.654) outperformed several machine learning techniques, such as MLP (AUC = 0.599), GB (AUC = 0.600), SVM (AUC = 0.624) or RF (AUC = 0.644), among others. Moreover, LR also outperformed standard scores. The same pattern was reproduced for the others 3 end-points. Complex machine learning methods were not able to improve the performance of liver allocation, probably due to the implicit limitations associated to the collection process of the database.enAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Support vector machineLiver transplantationMachine learningMethodsLogistic modelsSurvivalMáquina de vectores de soporteTrasplante de hígadoAprendizaje automáticoMétodosModelos logísticosSupervivenciaMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Bayes TheoremMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Decision Support Techniques::Data Interpretation, StatisticalMedical Subject Headings::Information Science::Information Science::Information Storage and Retrieval::Databases as Topic::Databases, FactualMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Immunologic Tests::Histocompatibility TestingMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Surgical Procedures, Operative::Digestive System Surgical Procedures::Liver TransplantationMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Models, Theoretical::Models, Statistical::Logistic ModelsMedical Subject Headings::Persons::Persons::Tissue DonorsMedical Subject Headings::Health Care::Health Care Facilities, Manpower, and Services::Health Services::Tissue and Organ ProcurementMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Algorithms::Support Vector MachinesMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Area Under CurveMedical Subject Headings::Phenomena and Processes::Mathematical Concepts::Neural Networks (Computer)Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::MethodsMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Mortality::Survival RateMedical Subject Headings::Anthropology, Education, Sociology and Social Phenomena::Human Activities::Survivalresearch article34019601open access10.1371/journal.pone.02520681932-6203PMC8139468