IJAR 2019
DOI: 10.36106/ijar/2113665
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Literature Survey on Machine Learning Based Techniques in Medical Dataanalysis

Abstract: Machine Learning plays a significant role among the areas of Artificial Intelligence (AI). During recent years, Machine Learning (ML) has been attracting many researchers, and it has been successfully applied in many fields such as medical, education, forecasting etc., Right now, the diagnosis of diseases is mostly from expert's decision. Diagnosis is a major task in clinical science as it is crucial in determining if a patient is having the disease or not. This in turn decides the suitable path of treatment f… Show more

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Cited by 1 publication
(3 citation statements)
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References 16 publications
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“…Thus, the numerical data from all exams were discarded, and only the images generated by the equipment were used. From the discussions in the literature [1], extraction of dynamics from image segmentation was adopted. For this purpose, OpenCV was used with implementation in C++, being the programming language that presented the best performance.…”
Section: Processing Methodologiesmentioning
confidence: 99%
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“…Thus, the numerical data from all exams were discarded, and only the images generated by the equipment were used. From the discussions in the literature [1], extraction of dynamics from image segmentation was adopted. For this purpose, OpenCV was used with implementation in C++, being the programming language that presented the best performance.…”
Section: Processing Methodologiesmentioning
confidence: 99%
“…Because of the small number of examples (only 29 at the base in Iraq), it was then stipulated that these exams would not be excluded from the training base. It is common to find in the researched literature [1] that intraocular pressure is correlated with the diagnosis of keratoconus. However, even at the beginning of the research, it was noticed that the use of this information together with the techniques used in this research worsened the accuracy of the diagnosis.…”
Section: Evaluation Criteria For Machine Learning Modelsmentioning
confidence: 99%
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