Titlebook: Computer Vision and Machine Intelligence in Medical Image Analysis; International Sympos Mousumi Gupta,Debanjan Konar,Sambhunath Biswas Con

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Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques,ient. In this work, we have used such a dataset of 520 instances, which has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh. We have analyzed the dataset with Naive Bayes Algorithm, Logistic Regression Algorithm, and Random Forest Algori

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Arjan Tijms,Teo Bais,Werner Keils higher than 68.9%, 70.2%, and 69.4%, respectively. It was found that all performance measures achieve over 87.5, 89.4, and 86.7% for the classification task using random forest classifier. These promising results suggest that the proposed technique can discriminate retinal images having laser mark

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