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Nevertheless, confusion still exists in the type of data used, whether it is images, data extracted from images or clinical data, the course reliant on the type of device for obtaining them. In this study, the researches that used machine learning were reviewed and classified in terms of the kind of utilized machine for capturing data, along with the latest updates in sophisticated approaches for corneal disease diagnostic techniques. <\/jats:p>","DOI":"10.1142\/s0219467821500169","type":"journal-article","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T07:36:47Z","timestamp":1604129807000},"page":"2150016","source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning Techniques for Corneal Diseases Diagnosis: A Survey"],"prefix":"10.1142","volume":"21","author":[{"given":"Samer Kais","family":"Jameel","sequence":"first","affiliation":[{"name":"Electrical Electronic and Computer Engineering Department, Aksary University, Aksaray, Turkey"},{"name":"Raparin University, Sulaymaniyah, Iraq"}]},{"given":"Sezgin","family":"Aydin","sequence":"additional","affiliation":[{"name":"Department of Natural and Mathematical Sciences, Engineer Faculty, Tarsus University, Mersin, Turkey"}]},{"given":"Nebras H.","family":"Ghaeb","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Department, Al-Khawarezmi Engineering College, University of Baghdad, Baghdad, Iraq"}]}],"member":"219","published-online":{"date-parts":[[2020,12,19]]},"reference":[{"issue":"3","key":"S0219467821500169BIB001","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1097\/ICU.0000000000000470","volume":"29","author":"Rahimy E.","year":"2018","journal-title":"Curr. 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