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All Journal Al-Iktisab: Journal of Islamic Economic Law Syiar: Jurnal Komunikasi dan Penyiaran Islam Jurnal Pengabdian Mandiri Al Irsyad: Jurnal Studi Islam Jurnal Greenation Sosial dan Politik Dinasti Health and Pharmacy Science
Hubur, Aa
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Religion Humanities Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Diseases Diagnosis using Machine Learning Artha, Arsya Sinatria; Maseleno, Andino; Hubur, Aa
Dinasti Health and Pharmacy Science Vol. 2 No. 3 (2025): Dinasti Health and Pharmacy Science (January 2025)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dhps.v2i3.1812

Abstract

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.
Co-Authors Abdul Ghofur Abnisa, Almaydza Pratama Ahmad Muqorobin Andino Maseleno Arief Hanif, Hamdan Arnoldy, Arnoldy Artha, Arsya Sinatria Bahtiar Usman Bashori, Abdul Hamid Gautama, Sidartha Adi Hamzah Hamzah Hayatina, Lamya Hayatina Ida Busnetty Irfat Hista Saputra Muhammad Miftahussurur Nissa Salsabila, Aulia Nur Azizah Rohmah, Choiriyah Nur Syakif Ahmad