Machine learning in optometry
Our previous works have shown the importance of incorporating mathematical models to provide objective quantification in clinical settings. This includes aiding optometrists to make clinical decision based on validated scientific data, not by mere hunches or instincts. We have demonstrated that with...
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Format: | Article |
Language: | English English English |
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IIUM Press
2021
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Online Access: | http://irep.iium.edu.my/93814/2/2021%20IOVIC%20Invited%20Speaker.pdf http://irep.iium.edu.my/93814/13/93814_Machine%20learning%20in%20optometry.pdf http://irep.iium.edu.my/93814/14/Vol.%205%20No.%203%20%282021%29_%20SPECIAL%20ISSUE%20FOR%20INTERNATIONAL%20OPTOMETRY%20%26%20VISION%20SCIENCE%20CONFERENCE%202021%20_%20INTERNATIONAL%20JOURNAL%20OF%20ALLIED%20HEALTH%20SCIENCES.pdf http://irep.iium.edu.my/93814/ https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/641/455 |
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http://irep.iium.edu.my/93814/2/2021%20IOVIC%20Invited%20Speaker.pdfhttp://irep.iium.edu.my/93814/13/93814_Machine%20learning%20in%20optometry.pdf
http://irep.iium.edu.my/93814/14/Vol.%205%20No.%203%20%282021%29_%20SPECIAL%20ISSUE%20FOR%20INTERNATIONAL%20OPTOMETRY%20%26%20VISION%20SCIENCE%20CONFERENCE%202021%20_%20INTERNATIONAL%20JOURNAL%20OF%20ALLIED%20HEALTH%20SCIENCES.pdf
http://irep.iium.edu.my/93814/
https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/641/455