Implementation of adaptive neuro fuzzy inference system (ANFIS) in diagnosing obsessive compulsive disorder (OCD)
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Published:
Aug 30, 2023
Keywords:
ANFIS, Expert system, OCD
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Informtion System
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Abstract
Obsessive Compulsive Disorder (OCD) is a condition characterized by repetitive thoughts that encourage sufferers to do repetitive actions with the intention of reducing anxiety. People who experience OCD require assistance from specialist doctors to ensure appropriate treatment and avoid delays in treatment. However, the imbalance between the number of specialist doctors and sufferers can lead to prolonged consultation waiting times. In addition, the high costs incurred for consultations are also an obstacle for sufferers. Therefore, this research aims to develop a system that can diagnose OCD disease using the Adaptive Neuro Fuzzy Inference System (ANFIS) method. This system was designed on a website-based platform using the Python programming language with the help of the Flask framework and MySQL as the database. It is expected that this system will help people who experience OCD in the process of diagnosing OCD disorde
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Hendri, H. and Herwanto, P. (2023) “Implementation of adaptive neuro fuzzy inference system (ANFIS) in diagnosing obsessive compulsive disorder (OCD)”, Jurnal Mantik, 7(2), pp. 1501-1513. doi: 10.35335/mantik.v7i2.4105.
References
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López-Santana, E., Méndez-Giraldo, G., & Figueroa-García, J. C. (2019). Scheduling in queueing systems and networks using ANFIS. In Studies in Fuzziness and Soft Computing (Vol. 377). https://doi.org/10.1007/978-3-030-10463-4_18
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Raharja, M. A., Darmawan, I. D. M. B. A., Nilakusumawati, D. P. E., & Supriana, I. W. (2021). Analysis of membership function in implementation of adaptive neuro fuzzy inference system (ANFIS) method for inflation prediction. Journal of Physics: Conference Series, 1722(1). https://doi.org/10.1088/1742-6596/1722/1/012005
Robbins, T. W., Vaghi, M. M., & Banca, P. (2019). Obsessive-Compulsive Disorder: Puzzles and Prospects. In Neuron (Vol. 102, Issue 1). https://doi.org/10.1016/j.neuron.2019.01.046
Rohana, S., Hastono, T., & Oyama, S. (2022). Sistem Pakar Diagnosis Gangguan Obsessive Compulsive Disorder ( OCD ) Menggunakan Metode Forward Chaining Berbasis Web. Jurnal Dinamika Informatika, 11(1), 80–91.
Rosana, A., Pasek, G., Wijaya, S., & Bimantoro, F. (2020). Sistem Pakar Diagnosa Penyakit Kulit pada Manusia dengan Metode Dempster Shafer (Expert System of Diagnosing Skin Disease of Human being using Dempster Shafer Method). J-Cosine, 4(2), 129–138.
Sandhiyasa, I. M. S., Asana, I. M. D. P., Kherismawati, N. P. E., Satyawan, I. W. W. G. A., & Widyantara, I. M. O. (2022). Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Dengan Metode. Seminar Nasional Sistem Informasi Dan Teknologi (SISFOTEK), 69–75.
Saragih, N. E., & Adawiyah, R. (2020). Rancang Bangun Sistem Pakar Mendiagnosa Penyakit Obsessive Compulsive Disorder Dengan Metode Dempster Shafer. Jurnal Ilmiah Informatika, 8(02), 151–156. https://doi.org/10.33884/jif.v8i02.2478
Siburian, T. R. (2020). BEES?: Bulletin of Electrical and Electronics Engineering Sistem Pakar Diagnosa Penyakit Henoch-Schonlein Purpura ( HSP ). 1(2), 91–95.
Triana, N. (2020). Sistem Pakar Diagnosa Penyakit Pada Tanaman Seledri Menggunakan Metode Anfis. Jurnal Terapan Informatika Nusantara, 1(8), 418–423.
Ayudia, T. (2020). Sistem Pakar Diagnosa Penyakit Akibat Konsumsi Berlebihan Monosodium Glutamat (MSG) Menggunakan Metode Anfis. Jurnal Pelita Informatika, 8(3), 382–388.
Berberich, G., & Hoffmann, S. (2022). Obsessive-compulsive disorder. Psychotherapie, 67(6). https://doi.org/10.1007/s00278-022-00627-5
Dastres, R., & Soori, M. (2021). Artificial Neural Network Systems. International Journal of Imaging and Robotics (IJIR), 2021(2).
Endres, D., Domschke, K., & Schiele, M. A. (2022). Neurobiology of obsessive-compulsive disorder. In Nervenarzt (Vol. 93, Issue 7). https://doi.org/10.1007/s00115-022-01331-0
Erliksson, O. J., Lindner, P., & Mörtberg, E. (2020). Measuring associations between social anxiety and use of different types of social media using the Swedish Social Anxiety Scale for Social Media Users: A psychometric evaluation and cross-sectional study. Scandinavian Journal of Psychology, 61(6). https://doi.org/10.1111/sjop.12673
Falwadiya, H., & Dhingra, S. (2022). Blockchain technology adoption in government organizations: a systematic literature review. In Journal of Global Operations and Strategic Sourcing (Vol. 15, Issue 3). https://doi.org/10.1108/JGOSS-09-2021-0079
Grant, J. E., & Chamberlain, S. R. (2022). Obsessive Compulsive Disorders. In Neuroscience in the 21st Century: From Basic to Clinical: Third Edition. https://doi.org/10.1007/978-3-030-88832-9_160
Hagenauer, J., & Helbich, M. (2022). A geographically weighted artificial neural network. International Journal of Geographical Information Science, 36(2). https://doi.org/10.1080/13658816.2021.1871618
Irawan, S., & Sugiono, J. P. (2020). Sistem Pendukung Keputusan Rekomendasi Penilaian Kinerja Karyawan Untuk Menentukan Status Pemberian Reward Level Operator dan Foreman Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS). Smatika Jurnal, 10(02), 84–93. https://doi.org/10.32664/smatika.v10i02.501
Karaya?iz, ?., Oralhan, B., Oralhan, Z., Turabieh, H., & Khan, M. (2022). Modeling of Compulsive Behavior Types of Obsessive-Compulsive Disorder Patients by Using the Data Mining Method. Computational and Mathematical Methods in Medicine, 2022. https://doi.org/10.1155/2022/8040622
Kurnia, D. D. (2021). Sistem Pakar Untuk Mendiagnosa Gangguan Kesehatan Mental Menggunakan Algoritma Genetika. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 8(3), 1171–1187. https://doi.org/10.35957/jatisi.v8i3.1079
Lestari Sirait, B., Astuti Hasibuan, N., & Lubis, I. (2018). Sistem Pakar Mendiagnosa Hama Pada Tanaman Kedelai Dengan Menggunakan Metode Adaptive Neuro Fuzzy Interference System. Jurnal Pelita Informatika, 17(4), 412–415.
López-Santana, E., Méndez-Giraldo, G., & Figueroa-García, J. C. (2019). Scheduling in queueing systems and networks using ANFIS. In Studies in Fuzziness and Soft Computing (Vol. 377). https://doi.org/10.1007/978-3-030-10463-4_18
Mahjani, B., Bey, K., Boberg, J., & Burton, C. (2021). Genetics of obsessive-compulsive disorder. In Psychological Medicine (Vol. 51, Issue 13). https://doi.org/10.1017/S0033291721001744
Metin, S. Z., Balli Altuglu, T., Metin, B., Erguzel, T. T., Yigit, S., Ar?kan, M. K., & Tarhan, K. N. (2020). Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder. Clinical EEG and Neuroscience, 51(3), 139–145. https://doi.org/10.1177/1550059419879569
Nompunu, R. D., Santosa, P. B., & Yudaningtyas, E. (2018). Klasifikasi Kinerja Pegawai Universitas X dengan pendekatan Neuro - Fuzzy. Jurnal EECCIS, 12(1), 47–53.
Pan, Y., Xu, C., He, T., Wei, Z., Seger, C. A., Chen, Q., & Peng, Z. (2023). A network perspective on cognitive function and obsessive-compulsive related symptoms. Journal of Affective Disorders, 329, 428–437. https://doi.org/10.1016/j.jad.2023.02.073
Panda, G., Dhal, S. K., Satpathy, R., & Pani, S. K. (2022). ANFIS for Fraud Automobile Insurance Detection System. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 86). https://doi.org/10.1007/978-981-16-5685-9_50
Raharja, M. A., Darmawan, I. D. M. B. A., Nilakusumawati, D. P. E., & Supriana, I. W. (2021). Analysis of membership function in implementation of adaptive neuro fuzzy inference system (ANFIS) method for inflation prediction. Journal of Physics: Conference Series, 1722(1). https://doi.org/10.1088/1742-6596/1722/1/012005
Robbins, T. W., Vaghi, M. M., & Banca, P. (2019). Obsessive-Compulsive Disorder: Puzzles and Prospects. In Neuron (Vol. 102, Issue 1). https://doi.org/10.1016/j.neuron.2019.01.046
Rohana, S., Hastono, T., & Oyama, S. (2022). Sistem Pakar Diagnosis Gangguan Obsessive Compulsive Disorder ( OCD ) Menggunakan Metode Forward Chaining Berbasis Web. Jurnal Dinamika Informatika, 11(1), 80–91.
Rosana, A., Pasek, G., Wijaya, S., & Bimantoro, F. (2020). Sistem Pakar Diagnosa Penyakit Kulit pada Manusia dengan Metode Dempster Shafer (Expert System of Diagnosing Skin Disease of Human being using Dempster Shafer Method). J-Cosine, 4(2), 129–138.
Sandhiyasa, I. M. S., Asana, I. M. D. P., Kherismawati, N. P. E., Satyawan, I. W. W. G. A., & Widyantara, I. M. O. (2022). Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Dengan Metode. Seminar Nasional Sistem Informasi Dan Teknologi (SISFOTEK), 69–75.
Saragih, N. E., & Adawiyah, R. (2020). Rancang Bangun Sistem Pakar Mendiagnosa Penyakit Obsessive Compulsive Disorder Dengan Metode Dempster Shafer. Jurnal Ilmiah Informatika, 8(02), 151–156. https://doi.org/10.33884/jif.v8i02.2478
Siburian, T. R. (2020). BEES?: Bulletin of Electrical and Electronics Engineering Sistem Pakar Diagnosa Penyakit Henoch-Schonlein Purpura ( HSP ). 1(2), 91–95.
Triana, N. (2020). Sistem Pakar Diagnosa Penyakit Pada Tanaman Seledri Menggunakan Metode Anfis. Jurnal Terapan Informatika Nusantara, 1(8), 418–423.
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