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All Journal Perfecting a Video Game with Game Metrics Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Bina Insani ICT Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika Technomedia Journal Indonesian Journal of Computer Science El-Mujtama: Jurnal Pengabdian Masyarakat
iwan Syarif
Politeknik Elektronika Negeri Surabaya
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : International Journal of Advances in Intelligent Informatics

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Improving stroke diagnosis accuracy using hyperparameter optimized deep learning Tessy Badriyah; Dimas Bagus Santoso; Iwan Syarif; Daisy Rahmania Syarif
International Journal of Advances in Intelligent Informatics Vol 5, No 3 (2019): November 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i3.427

Abstract

Stroke may cause death for anyone, including youngsters. One of the early stroke detection techniques is a Computerized Tomography (CT) scan. This research aimed to optimize hyperparameter in Deep Learning, Random Search and Bayesian Optimization for determining the right hyperparameter. The CT scan images were processed by scaling, grayscale, smoothing, thresholding, and morphological operation. Then, the images feature was extracted by the Gray Level Co-occurrence Matrix (GLCM). This research was performed a feature selection to select relevant features for reducing computing expenses, while deep learning based on hyperparameter setting was used to the data classification process. The experiment results showed that the Random Search had the best accuracy, while Bayesian Optimization excelled in optimization time.
Co-Authors Adam Prugel-Bennett Agung Muliawan Agus Indra Gunawan Ahmad Syauqi Ahsan Aidil Saputra Kirsan Ali Ridho Barakbah Amalia Wirdatul Hidayah Andhik Ampuh Yunanto Arna Fariza Assodiky, Hilmy Ayu Ahadi Ningrum Bagas Dewangkara Binti Kholifah Daisy Rahmania Syarif Desy Intan Permatasari Deyana Kusuma Wardani Dian Neipa Purnamasari Dimas Bagus Santoso Dona Wahyudi Edi Satriyanto Entin Martiana Kusumaningtyas Fabyan Kindarya Fachrul Rozie Fahrudin, Tresna Maulana Ferry Astika S Ferry Astika Saputra Fitri Setyorini Gary Wills Grezio Arifiyan Primajaya Hasan Basri Hilmy Assodiky Hisyam, Masfu Idris Winarno Irsal Shabirin M Udin Harun Al Rasyid, M Udin Harun Masfu Hisyam Maulana, Yufri Isnaini Rochmat Mufid, Mohammad Robihul Muhammad Fajrul Falah Muhlis Tahir Mustika Kurnia Mayangsari Nadila Wirdatul Hidayah Nana Ramadijanti Nur Sakinah Nur Ulima Rusmayani Rabiatul Adawiyah Reesa Akbar Rengga Asmara Rengga Asmara Renovita Edelani Rosmaliati, Rosmaliati Rulisiana Widodo S, Ferry Astika Selvia Ferdiana Kusuma Stritusta Sukaridhoto Sumarsono, Irwan Tessy Badriyah, Tessy Tresna Maulana Fahrudin Umi Sa'adah Utomo, Agus Priyo Willy Sandhika Yufri Isnaini Rochmat Maulana