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Rianto Rianto
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Journal : Journal of Applied Data Sciences

 1 
Osteoporosis Detection Using a Combination of Recursive Feature Elimination and Naive Bayes Classifier with Rule-Based Chatbot Testing Sela, Enny Itje; Rianto, Rianto; Anggara, Afwan; Utami, Wahyu Sri
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.409

Abstract

Osteoporosis is a condition characterized by reduced bone mass and density, increasing the risk of fractures. Early detection relies on patient awareness and proactive health management. Despite advances in technology, patient independence and awareness remain critical for early diagnosis. A rule-based chatbot tool can assist by helping patients screen their bone health. The chatbot provides automated recommendations, offering an alternative to traditional hospital visits. This study presents a rule-based chatbot designed to detect osteoporosis, using Recursive Feature Elimination (RFE) combined with the Naïve Bayes Classifier (NBC). Machine learning is integrated to enhance the chatbot's ability to identify early signs of osteoporosis. The model’s performance is compared to other feature selection methods, such as Principal Component Analysis (PCA), and machine learning algorithms like Deep Learning, Support Vector Machine (SVM), and Logistic Regression. The dataset used includes public data sets for training and validation, as well as data from the Yogyakarta Health Office for predictions. Research phases include normalization, data encoding, feature selection, training, validation, and prediction. The chatbot implements text preprocessing techniques, such as tokenization, stop word removal, and feature extraction, alongside normalization and encoding of numeric data. The prediction stage determines if the patient has a positive or negative osteoporosis status. Validation results show the RFE-NBC model is particularly effective for osteoporosis detection, offering a balanced performance in identifying both positive and negative cases. Additionally, this model served as the foundation for creating a rule-based chatbot designed to detect osteoporosis. Based on the set of testing metrics using chatbot, the model demonstrates strong overall performance, with a good balance between identifying positive and negative instances.
Co-Authors AA Sudharmawan, AA Abdullah Abdullah Abdurahman Abdurrahman Abdurrosyid, Moh. Acep Irham Gufroni Adriani, Hanni Afiati, Laksmita Nur Agus Riyadi Al-Husaini, Muhammad Alam Rahmatulloh Alfarez, Rifky alfi husni, alfi Aliah, Aliah Ameilia Damayanti Amelia Citra Dewi Amrina Rosyada Anggara, Afwan Anggraini, Intan Ariesta Apriansyah, Ferryma Arba Aradea Aradea Arfa, Desmayeti Ari Kusuma Wardana Arief Bakhtiar Darmawan, Arief Bakhtiar Arief Purwanto Ariyanto M, Ariyanto M Asrai Maros Atika Aini Nasution Ayu Kadek Ari Noviani, Ni Gusti Daegal, Andre Damayanti, Ameilia Dani Gilang Sujana Dewi, Triana Rosalina Diva Pari Sangga, Gusti Gede Dwianto, Rahmad Agus Dwiky Qurniawan Dwiniati, Dwiniati Efrinal, Efrinal Elda Nurmalinda Eldianson, Rio Enggar Novianto Enny Itje Sela Erik Herman Heri Ujianto Erik Iman Heri Ujianto Fallo, Hamidah Fidiantoro, Vicky firmansyah maualana sugiartana nursuwars Fransiska, Susanti Gunawan, Rohmat Hasdani, Hasdani Hidayat, Nanang Al Husni Mubarok Husni Mubarok Idayanti, Rini Idum Satia Santi Istianingsih, Nanik Istifaedah, Inggit Nurul Jasmin, Nur Shabrina Joko Santoso Juang Bertorio, Margala Judijanto, Loso Juniarsih, Delvita Koerunnisa, Koerunnisa Kurniawan, Elan Latifah, Tia M. Asyari Syahab Manto, Agus Mardana Yuda, I Wayan Maria Junetha Sihasale Metzvioleta, Metzvioleta Mhd. Arief Hasan, Mhd. Arief Mikail, Ali Astra Mohammad Syaltut Abduh, Mohammad Syaltut Muhammad Fairuzabadi Muhammad, Ariyanto Mulyaningsih, Indrya Myrza Rahmanita Na, Quan Nanik Istianingsih Naufalino, Moch. Alfarros Difa Nengsih, Neng Suryanti Nilansari, Anis Febri Nina Kusumayanti, Ni Luh Nofiyanti, Fifi Novita, Safitri Dwi Nugraha, Cindera Syaiful Nur Widiyasono Nur Widiyasono, Nur Nurasih, Zahra Nurmalinda, Elda Octarina, Dian Oktafiani, Rian Patiandari, Patiandari Poiran Poiran Purwayoga, Vega Putra, Yudha Permadya Putri, Puji Handayani Quan Na R.M.W. Agie Pradhipta Raditya Witamo, I Made Ramadhan, Muhammad Ilham Rasilah, Rasilah Raswen Efendi Riandy, Denis Victor Rima Aksen Cahdriyana Rina Sari Qurniawati, Rina Sari Riny, Riny Riska Ayu, Agustina Rizal, Randi Ruswati, Ruswati Savitri Hendradewi Setia Wardani Setiawan, Nicko Kurnia Setiawan, Retno Agus Soffi Widyanesti Priwantoro, Soffi Widyanesti Subudiani, Ni Komang Suherry Suherry, Suherry Sundring Pantja Djati survival survival Susriyanti, Susriyanti Swuanderi, Ketut Syafrudin, Teguh Syahab, Alfin Syarifuddin Syariful Fahmi, Syariful Tato Nuryanto, Tato Tri Auri Yanti Tulus Haryono, Tulus Ujianto, EIH Utami, Wahyu Sri Vismania S. Damaianti, Vismania S. Viyanti Viyanti Wayan Sudarsana Wibawa wibawa Wicaksono, Aditya Rangga Wifasari, Septi Yanuar Surya Putra Yasini, Ketut Yumna, Irsalina Zai, Supriyaman Zalfiatr, Yelmirai Zulkifli Zulkifli Zuzzaifa, Nur