Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study

Hepatobiliary and Pancreatic Diseases International - Tập 20 - Trang 409-415 - 2021
Yuan-Xing Liu1, Xi Liu1, Chao Cen1, Xin Li2, Ji-Min Liu3, Zhao-Yan Ming4, Song-Feng Yu1, Xiao-Feng Tang1, Lin Zhou1, Jun Yu1, Ke-Jie Huang2, Shu-Sen Zheng1
1Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
2College of Information Science and Electrical Engineering, Zhejiang University, Hangzhou 310027, China
3Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, 1200 Main Street West, Hamilton L8S 4K1, Canada
4College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Tài liệu tham khảo

Pierantonelli, 2019, Nonalcoholic fatty liver disease: basic pathogenetic mechanisms in the progression from NAFLD to NASH, Transplantation, 103, e1, 10.1097/TP.0000000000002480 Carvalhana, 2014, How good is controlled attenuation parameter and fatty liver index for assessing liver steatosis in general population: correlation with ultrasound, Liver Int, 34, e111, 10.1111/liv.12305 Koehler, 2013, External validation of the fatty liver index for identifying nonalcoholic fatty liver disease in a population-based study, Clin Gastroenterol Hepatol, 11, 1201, 10.1016/j.cgh.2012.12.031 Vilar-Gomez, 2018, Non-invasive assessment of non-alcoholic fatty liver disease: clinical prediction rules and blood-based biomarkers, J Hepatol, 68, 305, 10.1016/j.jhep.2017.11.013 Cen, 2020, Development and validation of a clinical and laboratory-based nomogram to predict nonalcoholic fatty liver disease, Hepatol Int, 14, 808, 10.1007/s12072-020-10065-7 Lu, 2020, Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning, Artif Intell Med, 102, 10.1016/j.artmed.2019.101748 Fan, 2019, National Workshop on Fatty Liver and Alcoholic Liver Disease, Chinese Society of Hepatology, Chinese Medical Association, et al. Guidelines of prevention and treatment of nonalcoholic fatty liver disease, J Dig Dis, 20, 163, 10.1111/1751-2980.12685 Saito, 2015, The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets, PLoS One, 10, 10.1371/journal.pone.0118432 Wang, 2018, Application of deep learning architectures for accurate and rapid detection of internal mechanical damage of blueberry using hyperspectral transmittance data, Sensors, 18, 1126, 10.3390/s18041126 Ahuja, 2019, The impact of artificial intelligence in medicine on the future role of the physician, Peer J, 7, e7702, 10.7717/peerj.7702 Amisha, 2019, Overview of artificial intelligence in medicine, J Family Med Prim Care, 8, 2328, 10.4103/jfmpc.jfmpc_440_19 Voulodimos, 2018, Deep learning for computer vision: a brief review, Comput Intell Neurosci, 2018, 10.1155/2018/7068349 Sorin, 2020, Deep learning for natural language processing in radiology-fundamentals and a systematic review, J Am Coll Radiol, 17, 639, 10.1016/j.jacr.2019.12.026 Elliott Range, 2020, Application of a machine learning algorithm to predict malignancy in thyroid cytopathology, Cancer Cytopathol, 128, 287, 10.1002/cncy.22238 Hyun, 2019, A machine-learning approach using PET-based radiomics to predict the histological subtypes of lung cancer, Clin Nucl Med, 44, 956, 10.1097/RLU.0000000000002810 Sato, 2019, Machine-learning approach for the development of a novel predictive model for the diagnosis of hepatocellular carcinoma, Sci Rep, 9, 7704, 10.1038/s41598-019-44022-8 Ma, 2018, Application of machine learning techniques for clinical predictive modeling: a cross-sectional study on nonalcoholic fatty liver disease in China, Biomed Res Int, 2018, 10.1155/2018/4304376 Fialoke, 2018, Application of machine learning methods to predict non-alcoholic steatohepatitis (NASH) in non-alcoholic fatty liver (NAFL) patients, AMIA Annu Symp Proc, 2018, 430 Vandromme, 2020, Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes, Pac Symp Biocomput, 25, 91 Atabaki-Pasdar, 2020, Predicting and elucidating the etiology of fatty liver disease: a machine learning modeling and validation study in the IMI DIRECT cohorts, PLoS Med, 17, 10.1371/journal.pmed.1003149 Miyake, 2013, Body mass index is the most useful predictive factor for the onset of nonalcoholic fatty liver disease: a community-based retrospective longitudinal cohort study, J Gastroenterol, 48, 413, 10.1007/s00535-012-0650-8 Saida, 2014, Effect modification of body mass index and body fat percentage on fatty liver disease in a Japanese population, J Gastroenterol Hepatol, 29, 128, 10.1111/jgh.12377 Loomis, 2016, Body mass index and risk of nonalcoholic fatty liver disease: two electronic health record prospective studies, J Clin Endocrinol Metab, 101, 945, 10.1210/jc.2015-3444 Wang, 2016, Risk factor compositions of nonalcoholic fatty liver disease change with body mass index in males and females, Oncotarget, 7, 35632, 10.18632/oncotarget.9691 Fan, 2018, Association between body mass index and fatty liver risk: a dose-response analysis, Sci Rep, 8, 15273, 10.1038/s41598-018-33419-6 Rotman, 2010, The association of genetic variability in patatin-like phospholipase domain-containing protein 3 (PNPLA3) with histological severity of nonalcoholic fatty liver disease, Hepatology, 52, 894, 10.1002/hep.23759 Kozlitina, 2014, Exome-wide association study identifies a TM6SF2 variant that confers susceptibility to nonalcoholic fatty liver disease, Nat Genet, 46, 352, 10.1038/ng.2901 Sakamoto, 2019, Beta-3-adrenergic receptor rs4994 polymorphism is a potential biomarker for the development of nonalcoholic fatty liver disease in overweight/obese individuals, Dis Mark, 2019 Ji, 2019, KLB gene polymorphism is associated with obesity and non-alcoholic fatty liver disease in the Han Chinese, Aging, 11, 7847, 10.18632/aging.102293 Liu, 2019, Correlation between adiponectin gene rs1501299 polymorphism and nonalcoholic fatty liver disease susceptibility: a systematic review and meta-analysis, Med Sci Monit, 25, 1078, 10.12659/MSM.912737