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All Journal Prosiding SNATIKA Vol 01 (2011) Journal of Information Technology and Computer Science (JOINTECS) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JUTEKS - Jurnal Teknik Sipil Jurnal Teknik Informatika UNIKA Santo Thomas JSiI (Jurnal Sistem Informasi) Jurnal Kreativitas PKM JURTEKSI EDUMATIC: Jurnal Pendidikan Informatika BERNAS: Jurnal Pengabdian Kepada Masyarakat Patria : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Jurnal Abdimas Bina Bangsa Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Indonesian Community Journal Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Konstelasi: Konvergensi Teknologi dan Sistem Informasi
Paskalis Andrianus Nani
Universitas Katolik Widya Mandira
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Journal : Journal of Applied Data Sciences

 1 
Determining Important Features for Dengue Diagnosis using Feature Selection Methods Bria, Yulianti Paula; Nani, Paskalis Andrianus; Siki, Yovinia Carmeneja Hoar; Mamulak, Natalia Magdalena Rafu; Meolbatak, Emiliana Metan; Guntur, Robertus Dole
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.445

Abstract

This research aims to determine the important features including symptoms and risk factors for dengue diagnosis. This study’s dataset was obtained from medical records collected from two hospitals in Indonesia from patients with dengue and nondengue diseases. Four feature selection methods including feature importance, recursive feature elimination, correlation matrix and KBest were leveraged to determine significant features. Feature importance employed a tree-based classifier to derive the importance scores of the features. Recursive feature elimination employed a machine learning classifier to choose the most important features from the given dataset. Correlation matrix was employed to select the best features because it has the ability to use the correlation between each feature with the target. Univariate feature selection – Kbest has the ability to choose the best features based on univariate statistical tests. Important features were also gathered from fifteen Indonesian medical doctors to confirm the results. We used six machine learning techniques for dengue prediction. The random forest classifier yields the highest accuracy for the best combination of features with the accuracy of 0.93 (LR: 0.90 (0.04), KNN: 0.89 (0.04), XGBoost: 0.91 (0.03), RF: 0.93 (0.04), NB: 0.88 (0.09), SVM: 0.89 (0.04)) and precision of 0.90 (LR: 0.86 (0.22), KNN: 0.67 (0.14), XGBoost: 0.77 (0.13), RF: 0.90 (0.13), NB: 0.66 (0.20), SVM: 0.66 (0.18)). This study shows the significant features for dengue diagnosis including fever, fever duration, headache, muscle and joint pain, nausea, vomiting, abdominal pain, shivering, malaise, loss of appetite, shortness of breath, rash, bleeding nose, bitter mouth, temperature and age. This knowledge is pivotal to educate society to seek medical advice when dengue symptoms appear to avoid severe conditions. Arthralgia/joint pain and myalgia/muscle pain are the most significant features for the dengue prediction. This knowledge is important for medical doctors as a starting point for clinical dengue diagnosis.
Co-Authors Adri Gabriel Sooai Adrianus Ketmoen Alfry Aristo Jansen Sinlae Alicia Herlin Mondolang Alija Remigis Bere Amal, Yulius Santana Anselmus Boy Baunsele Aril Wabang, Yabes Vridman Arto, Kamilus Baba, Yanuarius G. Ola Bala, Yustinus Jubiliano Ebang Bano, Mariana Barreto, Novriliana Bria, Yunita Mildayani Putri Corazon Olivia Sianturi Demon, Stephanus Ola Don Gaspar Noesaku da Costa Donatus Joseph Manehat Doni, Andreas Ola Emanuel Fernandez Emanuel Jando Emerensiana Ngaga Emiliana Metan Meolbatak Emirensiana Eba Erly Grizca Boelan Fay, Maria Imakulata Frengky Tedy Frengky Tedy Gerardus Diri Tukan Hokon, Sesilia Hingi Novita Sari Hun, Abang Simon S. Ignatius Pricher Agung Nirwanto Samane Irvan Yohanes Lim Kapitan, Inten Kristian Karpus Paulino Mamulak, Natalia M. R. Manggut, Maria Dirga Maria Augustin Lopes Amaral Maria Bernadethe Mawarni Gelu Wutun Maria Kristine Bria Seran Maria O. Krisdayanti Maria Putu Sugiati Keraf Maria Vianey Mega Bere Maximus M Taek Meolbatak, Emiliana Metan Metkono, Beatrix Selia Naben, Maria Novalina Nali, Stephen Bernard T. T. Natalia Magdalena Rafu Mamulak Patrisius Batarius Paulina Aliandu Paulus Adrianus K. L. Ratumakin Priscilla M. A Hornay Putra, Yohanes Aprianto C. Robertus Dole Guntur Samara, Angelina lani Selfiana Goetha Seran, Herlinda Ignasia Beti Seran, Maria Kristine Bria Shine Crossifixio Sianturi Sisilia Daeng Bakka Mau Sisilia Daeng Bakka Mau Solly Aryza Suri, Anna Paula Araujo Theresia Yunita Lamawuran Tupen, Finsensius F. Enga Uma, Enjelina Viany Cecilia Pah Yovinia Carmeneja Hoar Siki Yulianti Paula Bria