Identifying Diseases and Diagnosis using Machine Learning
Iswanto Iswanto1, E. Laxmi Lydia2, K. Shankar3, Phong Thanh Nguyen4, Wahidah Hashim5, Andino Maseleno6
1Iswanto Iswanto, Department of Engineer Profession Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
2E.T Laxmi Lydia, Professor, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam (Andhra Pradesh), India.
3K.T Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
4PhongT Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
5Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
6Andino Maseleno, Institute of Informatics and Computing Energy,Universiti Tenaga Nasional, Malaysia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 978-981 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12970886S219/19©BEIESP | DOI: 10.35940/ijeat.F1297.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build.
Keywords: Machine Learning, Disease Detection, Computer, Classifation Algorithm.
Scope of the Article: Machine Learning