Publications:

1. Ramdas Kapila, Sumalatha Saleti, “An efficient ensemble-based Machine Learning for breast cancer detection,” in Biomedical Signal Processing and Control, Vol. 86, 2023.
2. Ramdas Kapila, Thirumalaisamy Ragunathan, Sumalatha Saleti, T Jaya Lakshmi, Mohd Wazih Ahmad, “Heart disease prediction using novel quine McCluskey binary classifier (QMBC)”, in IEEE Access, Jun 2023.
3. Ramdas Kapila, Sumalatha Saleti, “Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data”, in Computational Biology and Chemistry, Dec 2023.
4. Ramdas Kapila, Sumalatha Saleti, “Federated learning-based disease prediction: A fusion approach with feature selection and extraction”, in Elsevier- Biomedical Signal Processing and Control, Feb 2025.

Patents:

1. Ramdas Kapila, Sumalatha Saleti, “A SYSTEM AND A METHOD FOR PRIVACY-PRESERVING DISEASE PREDICTION USING A FEDERATED LEARNING TECHNIQUE”, Indian Patent Published Application Number: 202341076138, Published Date: 08 Nov 2023.

2. Ramdas Kapila, Sumalatha Saleti, Ragunathan T, “A METHOD AND SYSTEM FOR DISEASE PREDICTION USING MACHINE LEARNING MODELS DURING MEDICAL DIAGNOSES OF PATIENTS”, Indian Patent Published Application Number: 202441032199, Published Date: 26 April 2024.

 Journal Papers – under Review:

1. Ramdas Kapila, Sumalatha Saleti, Improving Disease Prediction Accuracy and Robustness: A Correctness-driven Ensemble Modeling Approach, SN Computer Science.
2. Ramdas Kapila, Ragunathan T, Sumalatha Saleti, Quine McCluskey Deep Learning Ensemble Binary Classifier for Improving Pneumonia Detection, Journals – International Journal of Medical Informatics.
3. Ramdas Kapila, Sumalatha Saleti, “Meta-Feature Selection (MFS) Approach for Breast Cancer Prediction Using Correlation Coefficient and ANOVA with Hill Climbing Optimization”, Journal- Computational Biology and Chemistry.

Book Chapter – under Review:

1. Ramdas Kapila, S. Saleti, “Optimizing Deep Learning Models for Pneumonia Prediction: A Comprehensive Guide to Training, Evaluation, and Hyperparameter Tuning with Chest X-Ray Images.” In Sensor Data Analytics for Intelligent Healthcare Delivery, CRC Press, Taylor & Francis Group.
2. Ramdas Kapila, S. Saleti, “Federated Learning Frameworks with Privacy Protection for Predicting Heart Disease: Horizontal, Vertical, and Hybrid Strategies.” Advances in Security and Privacy-preservation for FinTech, Healthcare, and Societal Applications, CRC Press, Taylor & Francis Group.
3. Ramdas Kapila, S. Saleti, Praneetha Surapaneni, “Optimizing Data to Diagnosis: A Machine Learning Approach for Early Breast Cancer Identification.” AI and Machine Learning for Cancer Care: Precision Medicine and Beyond, IGI Global Scientific Publishing Book Submission System.