1. Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction;Ansari;Comput. Math. Methods Med.,2023
2. Dynamic prediction models improved the risk classification of type 2 diabetes compared with classical static models;Asgari;J. Clin. Epidemiol.,2021
3. A systematic approach for variable selection with random forests: achieving stable variable importance values;Behnamian;IEEE Geosci. Remote Sens. Lett.,2017
4. Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, Mohd Dilshad Ansari. Analysis of Diabetes mellitus using Machine Learning Techniques. 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), Aligarh, India. 2022;1-5.
5. Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, Mohd Dilshad Ansari. Hybrid Prediction Model for Type-2 Diabetes Mellitus using Machine Learning Approach. 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, India. 2022;150-155.