Feature selection and prediction of heart disease using machine learning approaches by Molla, M. M.Imran, Islam, Md Sakirul, Shafi, A. S.M., Alam, Mohammad Khurshed, Islam, Md Tarequl, Jui, Julakha Jahan

“…The diagnosis of cardiac disease has been considered via conventional medical history. …”
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Preliminary Investigation on the Development of a Lower Extremity Exoskeleton for Gait Rehabilitation: A Clinical Consideration by Zahari, Taha, Anwar, P. P. A. Majeed, Mohd Yashim, Wong Paul Tze, Abdul Ghaffar, Abdul Rahman

“…This form of abnormality may originate from cerebellar disease, stroke, spinal injury, cardiac disease or other general conditions that may instigate such disorder. …”
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A Review on Predictive Model for Heart Disease using Wearable Devices Datasets by Mohd Syafiq Asyraf, Suhaimi, Nor Azuana, Ramli, Noryanti, Muhammad

“…Other approaches, such as Naive Bayes, Support Vector Machine, and Decision Tree algorithms, are used to analyze medical data sets to forecast cardiac disease. According to the survey, ANNs are likely to be good for heart disease prediction in terms of classification accuracy on training and test datasets.…”
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A review on predictive model for heart disease using wearable devices datasets by M.S., Suhaimi, Nor Azuana, Ramli, Noryanti, Muhammad

“…Other approaches, such as Naive Bayes, neural networks, and Decision Tree algorithms, are used to analyze medical data sets to forecast cardiac disease. Based on the degree of accuracy, Naïve Bayes looks to be the most successful model for predicting heart disease patients, followed by Neural Network and Decision Trees.…”
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System Integration and Control of Dynamic Ankle Foot Orthosis for Lower Limb Rehabilitation by Anwar, P. P. Abdul Majeed, Mohd Azraai, M. Razman, Mohd Nor Azmi, Ab Patar, Ahmad Fahmi, Said, Jamaluddin, Mahmud

“…This form of disability may originate from cerebellar disease, stroke, spinal injury, cardiac disease or other general conditions that may bring about such disorder. …”
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