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In order to validate the procedure, we selected a sample (n=47) of cirrhotic patients. Approximately half of them were diagnosed with minimal hepatic encephalopathy (MHE), a common neurological impairment in patients with liver disease. By using the actual gold standard, the Psychometric Hepatic Encephalopathy Score battery, PHES, patients were classified into two groups: cirrhotic patients with MHE and those without MHE. Eye movement tests were carried out on all participants. Using classical statistical concepts, we analyzed the significance of 150 eye movement features, and the most relevant (p-values \u2264 0.05) were selected for training machine learning algorithms. To summarize, while the PHES battery is a time-consuming exploration (between 25\u201340 min per patient), requiring expert training and not amenable to longitudinal analysis, the automatic video oculography is a simple test that takes between 7 and 10 min per patient and has a sensitivity and a specificity of 93%.<\/jats:p>","DOI":"10.3390\/s23198073","type":"journal-article","created":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T03:45:23Z","timestamp":1695699923000},"page":"8073","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Automatic Video-Oculography System for Detection of Minimal Hepatic Encephalopathy Using Machine Learning Tools"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7772-2824","authenticated-orcid":false,"given":"Alberto","family":"Calvo C\u00f3rdoba","sequence":"first","affiliation":[{"name":"Escuela T\u00e9cnica Superior de Ingenieros Industriales, Center for Automation and Robotics, UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal St., 2, 28006 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1067-0564","authenticated-orcid":false,"given":"Cecilia E.","family":"Garc\u00eda Cena","sequence":"additional","affiliation":[{"name":"Escuela T\u00e9cnica Superior de Ingenier\u00eda y Dise\u00f1o Industrial, Center for Automation and Robotics, UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Ronda de Valencia, 3, 28012 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4740-4788","authenticated-orcid":false,"given":"Carmina","family":"Montoliu","sequence":"additional","affiliation":[{"name":"Instituto de Investigaci\u00f3n Sanitaria-INCLIVA, 46010 Valencia, Spain"},{"name":"Servicio de Medicina Digestiva, Hospital Cl\u00ednico de Valencia, 46010 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1001\/jama.2017.18391","article-title":"Big data and machine learning in health care","volume":"319","author":"Beam","year":"2018","journal-title":"JAMA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/TBMEL.1963.4322822","article-title":"A Method of Measuring Eye Movement Using a Scleral Search Coil","volume":"10","author":"Davison","year":"1963","journal-title":"IEEE Trans. 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