| The trans-ancestral genomic architecture of glycemic traits J Chen, CN Spracklen, G Marenne, A Varshney, LJ Corbin, J Luan, ... Nature genetics 53 (6), 840-860, 2021 | 378 | 2021 |
| Designing translation tool: Between sign language to spoken text on kinect time series data using dynamic time warping ZP Putra, MD Anasanti, B Priambodo Sinergi, 2018 | 9 | 2018 |
| The Exploring feature selection techniques on Classification Algorithms for Predicting Type 2 Diabetes at Early Stage MD Anasanti, K Hilyati, A Novtariany Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6 (5), 832-839, 2022 | 7 | 2022 |
| Machine Learning in Multi-Omics Data to Assess Longitudinal Predictors of Glycaemic Health L Prélot, H Draisma, MD Anasanti, Z Balkhiyarova, M Wielscher, L Yengo, ... bioRxiv, 358390, 2018 | 7 | 2018 |
| Designing a Multimodal Graph System to Support Non-Visual Interpretation of Graphical Information D Setiawan, B Priambodo, MD Anasanti, E Naf’an, M Masril, I Handriani, ... Journal of Physics: Conference Series 1339 (1), 012059, 2019 | 5 | 2019 |
| Improving Cardiovascular Disease Prediction by Integrating Imputation, Imbalance Resampling, and Feature Selection Techniques into Machine Learning Model FH Alfebi, MD Anasanti IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 17 (1), 55-66, 2023 | 3 | 2023 |
| Urinary sodium excretion enhances the effect of alcohol on blood pressure X Jiang, MD Anasanti, F Drenos, AI Blakemore, R Pazoki Healthcare 10 (7), 1296, 2022 | 3 | 2022 |
| Point estimation with markers for effective mobile auditory graphs Z Putra, D Setiawan, B Priambodo, M Anasanti International Journal of Emerging Technologies in Learning (iJET) 15 (8 …, 2020 | 2 | 2020 |
| Autism Spectrum Disorder (ASD) Identification Using Feature-Based Machine Learning Classification Model A Novianto, MD Anasanti IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 17 (3), 2023 | 1 | 2023 |
| Network Disruption Prediction Using Naïve Bayes Classifier S Oktaviana, I Ermis, MD Anasanti, J Hammad 2019 2nd International Conference of Computer and Informatics Engineering …, 2019 | 1 | 2019 |
| Machine learning in multi-omics data to assess longitudinal predictors of glycaemic trait levels M Kaakinen, L Prelot, H Draisma, MD Anasanti, MR Jarvelin, ... GENETIC EPIDEMIOLOGY 42 (7), 709-709, 2018 | 1 | 2018 |
| Assessing Performance Across Various Machine Learning Algorithms with Integrated Feature Selection for Fetal Heart Classification LR Amanda, MD Anasanti, R Sumalatha International Journal of Artificial Intelligence Research 8 (1), 2024 | | 2024 |
| Similarity: Designing a Multimodal Graph System to Support Non-Visual Interpretation of Graphical Information B Priambodo, MD Anasanti, AH Hazidar, E Naf'an, M Masril, I Handriani, ... Journal of Physics: Conference Series, 2023 | | 2023 |
| Pelatihan Optimalisasi Website Untuk Meningkatkan Kinerja Profesional Melalui Perencanaan (Planning) Website EH Hermaliani, R Sadikin, M Haris, MD Anasanti, W Bismi, M Napiah Literasi: Jurnal Pengabdian Masyarakat dan Inovasi 2 (2), 1359-1364, 2022 | | 2022 |
| Urinary Sodium Excretion Enhances the Effect of Alcohol on Blood Pressure. Healthcare 2022, 10, 1296 X Jiang, MD Anasanti, F Drenos, AI Blakemore, R Pazoki s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| GRAPH REPRODUCTION TASK ON MOBILE AUDITORY GRAPH (MAG): AN EXPLORATORY STUDY ZP PUTRA, AP SUTARTO, MD ANASANTI Journal of Engineering Science and Technology 16 (5), 4283-4297, 2021 | | 2021 |
| Dissecting the multi-phenotype effects for cardiometabolic traits in highly dimensional whole genome and omics data through usage of multivariate analytical methods MD Anasanti Imperial College London, 2021 | | 2021 |
| Investigation of Multi Reference Point Estimation with Timbre for Effective Mobile Auditory Devices ZP Putra, D Setiawan, AS Prabuwono, B Priambodo, MD Anasanti 2020 2nd International Conference on Computer and Information Sciences …, 2020 | | 2020 |
| ImputeSCOPA: a Fast, Random Forest-Based Phenotype Imputation Tool for Large-Scale Studies M Kaakinen, M Anasanti, MR Jarvelin, I Prokopenko HUMAN HEREDITY 84 (4-5), 212-212, 2020 | | 2020 |
| Genetic predisposition to co-morbid depression and anxiety in diabetes using multi-omics framework approach Z Balkhiyarova, MA Kaakinen, HHM Draisma, MD Anasanti, A Ulrich, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 1762-1763, 2019 | | 2019 |
