Graduate Student, Department of Information and Computer Science, King Fahd University of Petroleum and Minerals King Fahd University of Petroleum and Minerals
Enhancing predictive modelling and interpretability in heart failure prediction: a SHAP-based analysis Niaz Ashraf Khan, Md. Ferdous Bin Hafiz, Md. Aktaruzzaman Pramanik International Journal of Informatics and Communication Technology, 2025 Predictive modelling plays a crucial role in healthcare, particularly in forecasting mortality due to heart failure. This study focuses on enhancing predictive modelling and interpretability in heart failure prediction through advanced boosting algorithms, ensemble methods, and SHapley Additive exPlanations (SHAP) analysis. Leveraging a dataset of patients diagnosed with cardiovascular diseases (CVD), we employed techniques such as synthetic minority over-sampling technique (SMOTE) and bootstrapping to address class imbalance. Our results demonstrated exceptional predictive performance, with the gradient boosting (GBoost) model achieving the highest accuracy of 91.39%. Ensemble techniques further enhanced performance, with the voting classifier (VC), stacking classifier (SC), and Blending achieving accuracies of 91.00%. SHAP analysis uncovered key features such as time, Serum_creatinine, and Ejection_fraction, significantly impacting mortality prediction. These findings highlight the importance of transparent and interpretable machine learning models in healthcare decision-making processes, facilitating informed interventions and personalized treatment strategies for heart failure patients.
Machine Learning and Explainable AI for Liver Disease Prediction: An Integrated Interpretability Framework NA Khan, MF Bin Hafiz, MA Pramanik, S Hossain, S Barman, N Hossain Biomedical Materials & Devices, 1-14 , 2025 2025 Citations: 1
An Analytical Review of Preprocessing Techniques in Bengali Natural Language Processing S Chakraborty, P Das, SM Dipto, MA Pramanik, J Noor IEEE Access , 2025 2025 Citations: 7
Enhancing predictive modelling and interpretability in heart failure prediction: a SHAP-based analysis NA Khan, MFB Hafiz, MA Pramanik International Journal of Informatics and Communication Technology (IJ-ICT … , 2025 2025 Citations: 13
A Transformer Based Approach for Analyzing Scrapped E-Commerce Product Reviews from Social Media Platforms with Explainable AI S Kabir, A Masud, M Hasan, S Sunny, MA Pramanik, S Chakraborty 2024 27th International Conference on Computer and Information Technology … , 2024 2024
A Data-driven Based Bengali Text Sentiment Analysis for Internet Service Users MFB Hafiz, S Gofur, S Hossain, NA Khan, MA Pramanik 2024 International Conference on Recent Progresses in Science, Engineering … , 2024 2024
Performance Analysis of Classification Algorithms for Outcome Prediction of T20 Cricket Tournament Matches MA Pramanik, MMH Suzan, AA Biswas, MZ Rahman, A Kalaiarasi 2022 International Conference on Computer Communication and Informatics … , 2022 2022 Citations: 16
Lemon Leaf Disease Classification Using CNN-based Architectures with Transfer Learning MA Pramanik, AA Biswas, MAZ Khan, MM Rahman 12th International Conference on Computing Communication and Networking … , 2021 2021 Citations: 28
Students’ Adaptability Level Prediction in Online Education using Machine Learning Approaches MMH Suzan, NA Samrin, AA Biswas, MA Pramanik 12th International Conference on Computing Communication and Networking … , 2021 2021 Citations: 49
Modeling Traffic Congestion in Developing Countries using Google Maps Data MA Pramanik, MM Rahman, ASM Anam, AA Ali, MA Amin, AKM Rahman Future of Information and Communication Conference 1363, 513-531 , 2021 2021 Citations: 11
Bangla Documents Classification using Transformer Based Deep Learning Models MM Rahman, MA Pramanik, R Sadik, M Roy, P Chakraborty 2nd International Conference on Sustainable Technologies for Industry 4.0 … , 2020 2020 Citations: 57
MOST CITED SCHOLAR PUBLICATIONS
Bangla Documents Classification using Transformer Based Deep Learning Models MM Rahman, MA Pramanik, R Sadik, M Roy, P Chakraborty 2nd International Conference on Sustainable Technologies for Industry 4.0 … , 2020 2020 Citations: 57
Students’ Adaptability Level Prediction in Online Education using Machine Learning Approaches MMH Suzan, NA Samrin, AA Biswas, MA Pramanik 12th International Conference on Computing Communication and Networking … , 2021 2021 Citations: 49
Lemon Leaf Disease Classification Using CNN-based Architectures with Transfer Learning MA Pramanik, AA Biswas, MAZ Khan, MM Rahman 12th International Conference on Computing Communication and Networking … , 2021 2021 Citations: 28
Performance Analysis of Classification Algorithms for Outcome Prediction of T20 Cricket Tournament Matches MA Pramanik, MMH Suzan, AA Biswas, MZ Rahman, A Kalaiarasi 2022 International Conference on Computer Communication and Informatics … , 2022 2022 Citations: 16
Enhancing predictive modelling and interpretability in heart failure prediction: a SHAP-based analysis NA Khan, MFB Hafiz, MA Pramanik International Journal of Informatics and Communication Technology (IJ-ICT … , 2025 2025 Citations: 13
Modeling Traffic Congestion in Developing Countries using Google Maps Data MA Pramanik, MM Rahman, ASM Anam, AA Ali, MA Amin, AKM Rahman Future of Information and Communication Conference 1363, 513-531 , 2021 2021 Citations: 11
An Analytical Review of Preprocessing Techniques in Bengali Natural Language Processing S Chakraborty, P Das, SM Dipto, MA Pramanik, J Noor IEEE Access , 2025 2025 Citations: 7
Machine Learning and Explainable AI for Liver Disease Prediction: An Integrated Interpretability Framework NA Khan, MF Bin Hafiz, MA Pramanik, S Hossain, S Barman, N Hossain Biomedical Materials & Devices, 1-14 , 2025 2025 Citations: 1
A Transformer Based Approach for Analyzing Scrapped E-Commerce Product Reviews from Social Media Platforms with Explainable AI S Kabir, A Masud, M Hasan, S Sunny, MA Pramanik, S Chakraborty 2024 27th International Conference on Computer and Information Technology … , 2024 2024
A Data-driven Based Bengali Text Sentiment Analysis for Internet Service Users MFB Hafiz, S Gofur, S Hossain, NA Khan, MA Pramanik 2024 International Conference on Recent Progresses in Science, Engineering … , 2024 2024