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Journal : Innovation in Research of Informatics (INNOVATICS)

Multi-Layer Perceptron For Diagnosing Stroke With The SMOTE Method In Overcoming Data Imbalances Ariansyah, M. Hafidz; Winarno, Sri; Nur Fitri, Esmi; Arga Retha, Helynda Mulya
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 1 (2023): Maret 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i1.6565

Abstract

Stroke is the sudden loss of brain function due to an interruption of the blood supply to the brain. Stroke is a dangerous disease that can even cause death for patients. The diagnosis of stroke must be made quickly and precisely to increase the likelihood that the patient can live a normal life again. In making a diagnosis, several factors can influence the patient to get a stroke diagnosis, including symptoms of hypertension to heart disease. From these problems, the researcher wants to classify the diagnosis of stroke so that stroke can get earlier treatment so that patients do not experience prolonged illness. The data used in this study is a stroke dataset with 4861 data labeled 0 which indicates no stroke, and 249 data labeled 1 which indicates a stroke diagnosis. This study uses the Synthetic Minority Over-sampling (SMOTE) method that will be applied to the Multi-Layer Perceptron algorithm so that researchers can get the performance of the stroke diagnosis classification model. Researchers use the SMOTE method so that the data in the classification model is balanced so that the model can make accurate predictions and avoid overfitting on the Multi-Layer Perceptron so that the accuracy in predicting stroke is better than just using an ordinary Multi-Layer Perceptron. The results of the confusion matrix analysis show that SMOTE can increase the prediction of stroke diagnosis from 12,5% to 84,89% in optimal test.
Co-Authors Abiyyi, Ryandhika Bintang Adhitya Nugraha Al-Azies, Harun Alzami, Farrikh Anatri Desstya Andrean, Muhammad Niko Ardytha Luthfiarta Arga Retha, Helynda Mulya Ariansyah, M. Hafidz ARIYANTO, MUHAMMAD Aryanti, Firda Ayu Dwi Asih Rohmani, Asih Atha Rohmatullah, Fawwaz Ayu Harini, Pradhita Rizka Cahya, Leno Dwi Cahyani, Ailsa Nurina Erika Devi Udayanti Fadlullah, Rizal Fahmi Amiq Farandi, Muhammad Naufal Erza Fauzyah, Zahrah Asri Nur Fikri Budiman Firmansyah, Gustian Angga Ganiswari, Syuhra Putri Go, Agnestia Agustine Djoenaidi Guruh Fajar Shidik Harun Al Azies Hastuti, Tri Puji Ibad, M. Azka Khoirul Ika Novita Dewi Indra Gamayanto Iswahyudi Junta Zeniarja Kamarudin, Fatkhurridlo Pranoto Khoirunnisa, Emila Krisna, Julius Immanuel Theo Kurniawan, Defri Kuswidiani, Erika Widya Laksono, Giffari Ilham Laurent, Feby Malim, Nurul Hashimah Ahmad Hassain Maulana, Isa Iant Maulani, Ahmad Alaik Megantara, Rama Aria Mohammad Arif Muhammad Naufal, Muhammad Muttaqin, Almas Najiib Imam Nur Fitri, Esmi Pangestu, Aditya Gilang Pratama, Raffy Nicandra Putra Pratama, Rifky Ariya Pulung Nurtantio Andono Putra, Permana Langgeng Wicaksono Ellwid Putri, Rusyda Tsaniya Eka Ramadhan Rakhmat Sani Ricardus Anggi Pramunendar Rony, Zahara Tussoleha Rusnandari Retno Cahyani Sabilillah, Ferris Tita Sasono Wibowo Senata, Denny Soeroso, Dennis Adiwinata Irwan Sukamto, Titien Suhartini Sulistyono, Teguh Syifa Nurazizah, Syifa Wardhana, Faviola Proba Wijaya, Tan Nicholas Octavian Yosep Teguh Sulistyono, Marcelinus Yudantiar, Mayang Arinda Zami, Farrikh Al