Hidden Markov model for analyzing time-series health checkup data. R Kawamoto, A Nazir, A Kameyama, T Ichinomiya, K Yamamoto, ... MedInfo 192, 491-495, 2013 | 11 | 2013 |
Identification of suicide-related events through network analysis of adverse event reports A Nazir, T Ichinomiya, N Miyamura, Y Sekiya, Y Kinosada Drug safety 37 (8), 609-616, 2014 | 5 | 2014 |
Hospital patients arrival prediction using Markov chain model method A Nazir, L Anggraini, L Octavia, F Syafria 2016 4th International Conference on Cyber and IT Service Management, 1-7, 2016 | 2 | 2016 |
Identification of Adverse Event Patterns in Loperamide Using FP-Growth Algorithm A Nazir, SK Gusti, R Linda Journal of Physics: Conference Series 1351 (1), 012086, 2019 | | 2019 |
Analisa Faktor yang Mempengaruhi Kondisi Kesehatan Menggunakan Algoritma Frequent Pattern Growth S Evadini, A Nazir, Y Pizaini Applied Information System and Management (AISM) 1 (1), 2018 | | 2018 |
Analisa Keterkaitan Risk Factor Stroke dengan Jenis Stroke yang Diderita Menggunakan Algoritma ECLAT R Fernando, L Anggraini, A Nazir Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 152-159, 2017 | | 2017 |
Implementation of Modified K-Nearest Neighbor for Diagnosis of Liver Patients A Nazir, L Anggraini, S Sanjaya, F Syafria ICETIA 1 (1), 2016 | | 2016 |
Time-series analysis of health checkup data using Hidden-Markov model. A Nazir, R Kawamoto, K Yamamoto, S Tamura, T Ichinomiya, S Hayamizu, ... AMIA, 2013 | | 2013 |
Prediksi Adverse Event Bunuh Diri Terhadap Obat Antidepresan Menggunakan Algoritma Frequent Pattern Growth (FP-Growth) L Anggraini, KE Utami, L Handayani, E Budianita, A Nazir | | |