Handbook of deep learning models for healthcare data processing: Disease prediction, analysis, and applications Ajay Kumar, Deepak Dembla, Seema Tinker, Surbhi Bhatia Khan Handbook of Deep Learning Models for Healthcare Data Processing Disease Prediction Analysis and Applications, 2025 In recent years, deep learning has shown great potential in transforming various fields, including healthcare. With the abundance of healthcare data being generated daily, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.
Preface Handbook of Deep Learning Models for Healthcare Data Processing Disease Prediction Analysis and Applications, 2025
Deep learning approaches for diagnosing Alzheimer's Disease: A Comparative Study of ResNet50, CNN, and MobileNet Shekhar, Seema Tinker, Deepak Dembla, Sunil Kumar Gupta, Ajay Kumar, Ashish Kumar Handbook of Deep Learning Models for Healthcare Data Processing Disease Prediction Analysis and Applications, 2025 Alzheimer’s disease (AD) is a neurodegenerative condition that gradually impairs cognitive functions and memory and is the leading cause of dementia in the elderly. With an increasingly aging global population, AD is projected to affect 12.7 million adults aged sixty-five and older by 2050. This disease poses a particularly severe challenge in countries like China, where it is the fifth leading cause of death, affecting over fifteen million people aged sixty and over. The financial burden associated with AD treatment is also expected to rise dramatically. In this chapter, the authors propose three deep learning models—ResNet50, CNN, and MobileNet—for the accurate diagnosis of AD. Leveraging the power of deep learning and transfer learning, they aim to enhance the effectiveness of detecting AD at various stages. Performance evaluations reveal that ResNet50 achieved the highest accuracy at 92%, outperforming CNN and MobileNet, which showed accuracy of 85% and 89%, respectively. ResNet50 provides the most balanced precision, recall, and F1 scores across all stages of dementia, while CNN requires optimization. MobileNet, although not as effective as ResNet50, shows potential as a viable option in resource-constrained environments. These results underscore the importance of model selection for early and accurate AD diagnosis, paving the way for timely intervention and improved patient outcomes. Future work should focus on enhancing CNN performance and exploring ensemble methods to further improve classification accuracy.
Utilizing machine learning algorithms for cardiovascular disease prediction: “Detailed analysis based on medical parameters” Mahesh Kumar Joshi, Deepak Dembla, Suman Bhatia Medical Engineering and Physics, 2025 Among the most prevalent and dangerous ailments impacting human health are cardiovascular diseases (CVDs). Early diagnosis may help avoid or lessen CVDs, thereby lowering death rates. Several clinical methods have already been deployed for diagnosing and treating CVD. However, one interesting approach is to use Machine Learning (ML) approaches to identify risk characteristics. The suggested model uses a variety of ML approaches to accurately forecast cardiac disease. Initially, the CVD dataset is collected and trained in the Python tool. The null and duplicate records are removed in the data preprocessing stage. Moreover, extracts relevant information from the dataset using feature extraction. Inter Quartile Range (IQR) is used in AdaBoost and Gradient Boosting to identify continuously distributed outliers in data. Moreover, 16 ML classifiers are employed to accurately forecast the CVD disease. Compared with other approaches, the AdaBoost and Gradient Boosting approach gained better results of 96 %. The developed model dataset is trained and tested with k-fold testing. GridSearchCV and the results are visualized using the SHAP tool. The designed technique enhances the CVD prediction system using several MLs.
Enhanced Diabetic Retinopathy Detection through Deep Learning Ensemble Models for Early Diagnosis International Journal of Intelligent Systems and Applications in Engineering, 2024
Prediction of Cardiovascular Disease using Machine Learning Algorithms Mahesh Kumar Joshi, Deepak Dembla, Suman Bhatia International Journal of Advanced Computer Science and Applications, 2024 — Heart is the most critical organ of our body for being responsible for regulating and maintaining the blood circulation levels. Globally, heart disease cases are prevalent and constitute a significant cause of mortality. Manifestations such as chest discomfort and irregular heartbeat are notable symptoms. The healthcare sector has amassed substantial knowledge in this domain. Analyzing the research, this paper delves into the concept of utilizing ML algorithms to predict cardiac diseases. In this research will employ a diverse array of machine learning techniques, including decision tree, support vector classifier, random forest, K-NN, logistic regression and naive Bayes. These algorithms utilize specific characteristics to forecast cardiac diseases effectively. Leveraging machine learning algorithms to analyze and predict outcomes from the extensive healthcare-generated data shows considerable promise. Recent advancements in machine learning models have incorporated numerous features, and in this study, propose the integration of these features in machine learning algorithms to forecast cardiovascular ailments. The main objective of this research is to identify the performance of the mentioned machine learning algorithms for predicting cardiovascular elements.
Implementation of Transfer Learning Based Ensemble Model using Image Processing for Detection of Potato and Bell Pepper Leaf Diseases International Journal of Intelligent Systems and Applications in Engineering, 2024
Artificial intelligence-driven glaucoma screening in ophthalmology: The GlaucoNet deep learning framework M Kumar, D Dembla, V Goyal African Vision and Eye Health 85 (1), 1-12 , 2026 2026
Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications A Kumar, D Dembla, S Tinker, SB Khan CRC Press , 2025 2025 Citations: 3
Deep Learning Approaches for Diagnosing Alzheimer's Disease: A Comparative Study of ResNet50, CNN, and MobileNet S Tinker, D Dembla, SK Gupta, A Kumar, A Kumar Handbook of Deep Learning Models for Healthcare Data Processing, 54-72 , 2025 2025
3 Deep Learning Approaches ST Shekhar, D Dembla, SK Gupta, A Kumar, A Kumar Handbook of Deep Learning Models for Healthcare Data Processing: Disease … , 2025 2025
AI-powered smart cities: Integrate urban and rural synergy for sustainable development LS Vermani, D Dembla AIP Conference Proceedings 3261 (1), 020010 , 2025 2025
Utilizing machine learning algorithms for cardiovascular disease prediction:“Detailed analysis based on medical parameters” MK Joshi, D Dembla, S Bhatia Medical Engineering & Physics 140, 104347 , 2025 2025 Citations: 2
Analysis and Enhancement of Prediction of Cardiovascular Disease Diagnosis using Machine Learning Models SVM, SGD, and XGBoost. S Tomar, D Dembla, Y Chaba International Journal of Advanced Computer Science & Applications 15 (4) , 2024 2024 Citations: 6
Deep learning models for enhancing potato leaf disease prediction: Implementation of transfer learning based stacking ensemble model P Jha, D Dembla, W Dubey Multimedia Tools and Applications 83 (13), 37839-37858 , 2024 2024 Citations: 140
Prediction of Cardiovascular Disease using Machine Learning Algorithms. MK Joshi, D Dembla, S Bhatia International Journal of Advanced Computer Science & Applications 15 (3) , 2024 2024 Citations: 3
Enhanced Diabetic Retinopathy Detection Through Deep Learning Ensemble Models for Early Diagnosis D Dembla, A Meshram, A Anooja International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 5
Implementation of Machine Learning Classification Algorithm Based on Ensemble Learning for Detection of Vegetable Crops Disease. P Jha, D Dembla, W Dubey International Journal of Advanced Computer Science & Applications 15 (1) , 2024 2024 Citations: 67
Implementation of Transfer Learning Based Ensemble Model using Image Processing for Detection of Potato and Bell Pepper Leaf Diseases P Jha, D Dembla, W Dubey International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 66
Multistage classification of retinal images for prediction of diabetic retinopathy-based deep learning model A Meshram, D Dembla International Conference on Emerging Trends in Expert Applications … , 2023 2023 Citations: 4
Crop disease detection and classification using deep learning-based classifier algorithm P Jha, D Dembla, W Dubey International Conference on Emerging Trends in Expert Applications … , 2023 2023 Citations: 87
Comparative analysis of crop diseases detection using machine learning algorithm P Jha, D Dembla, W Dubey 2023 Third International Conference on Artificial Intelligence and Smart … , 2023 2023 Citations: 97
Routing optimizing decisions in MANET: The Enhanced Hybrid Routing Protocol (EHRP) with adaptive routing based on network situation A Manhar, D Dembla International Journal on Recent and Innovation Trends in Computing and … , 2023 2023 Citations: 6
Improved Hybrid Routing Protocol (IHRP) in MANETs Based on Situation Based Adaptive Routing AM Dembla Deepak International Journal of Electrical and Electronics Research 11 (1), 15-24 , 2023 2023 Citations: 8
DEVELOPMENT AND ANALYSIS OF DEEP LEARNING MODEL BASED ON MULTICLASS CLASSIFICATION OF RETINAL IMAGE FOR EARLY DETECTION OF DIABETIC RETINOPATHY AD Dembla ASEAN Engineering Journal 13 (3), 89-97 , 2023 2023 Citations: 4
MCBM: IMPLEMENTATION OF MULTICLASS AND TRANSFER LEARNING ALGORITHM BASED ON DEEP LEARNING MODEL FOR EARLY DETECTION OF DIABETIC RETINOPATHY AD Dembla ASEAN Engineering Journal 13 (13(3)), 107-113 , 2023 2023 Citations: 5
Intelligent seating system based on IoT and machine learning P Bhatia, S Bhatia, Y Chaba, D Dembla, V Garg, V Goyal, BB Jain, P Jha, ... 2022 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Deep learning models for enhancing potato leaf disease prediction: Implementation of transfer learning based stacking ensemble model P Jha, D Dembla, W Dubey Multimedia Tools and Applications 83 (13), 37839-37858 , 2024 2024 Citations: 140
Comparative analysis of crop diseases detection using machine learning algorithm P Jha, D Dembla, W Dubey 2023 Third International Conference on Artificial Intelligence and Smart … , 2023 2023 Citations: 97
Crop disease detection and classification using deep learning-based classifier algorithm P Jha, D Dembla, W Dubey International Conference on Emerging Trends in Expert Applications … , 2023 2023 Citations: 87
Investigating the security threats in vehicular ad hoc networks (VANETs): towards security engineering for safer on-road transportation P Tyagi, D Dembla 2014 international conference on advances in computing, communications and … , 2014 2014 Citations: 81
Implementation of Machine Learning Classification Algorithm Based on Ensemble Learning for Detection of Vegetable Crops Disease. P Jha, D Dembla, W Dubey International Journal of Advanced Computer Science & Applications 15 (1) , 2024 2024 Citations: 67
Implementation of Transfer Learning Based Ensemble Model using Image Processing for Detection of Potato and Bell Pepper Leaf Diseases P Jha, D Dembla, W Dubey International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 66
Performance analysis and implementation of proposed mechanism for detection and prevention of security attacks in routing protocols of vehicular ad-hoc network (VANET) P Tyagi, D Dembla Egyptian informatics journal 18 (2), 133-139 , 2017 2017 Citations: 66
A taxonomy of security attacks and issues in vehicular ad-hoc networks (vanets) P Tyagi, D Dembla International Journal of Computer Applications 91 (7) , 2014 2014 Citations: 35
Advanced secured routing algorithm of vehicular ad-hoc network P Tyagi, D Dembla Wireless Personal Communications 102 (1), 41-60 , 2018 2018 Citations: 30
Modeling and Analysis of an intelligent AODV routing protocol Based on Route Request Retransmission Strategy in MANETS D Dembla, DY Chaba International Journal of Computer Applications 975, 8887 , 2011 2011 Citations: 16
Analysis and implementation of improved-LEACH protocol for Wireless Sensor Network (I-LEACH) D Dembla, H Shivam IJCSC 4 (2), 8-12 , 2013 2013 Citations: 15
A secured routing algorithm against black hole attack for better intelligent transportation system in vehicular ad hoc network P Tyagi, D Dembla International Journal of Information Technology 11 (4), 743-749 , 2019 2019 Citations: 14
Implementation of black hole security attack using malicious node for enhanced-dsr routing protocol of manet R Kothari, D Dembla International Journal of Computer Applications 64 (18), 1-8 , 2013 2013 Citations: 14
Performance modeling of efficient and dynamic broadcasting algorithm in MANETs routing protocols D Dembla, Y Chaba 2010 Second International Conference on Computer Research and Development … , 2010 2010 Citations: 9
Improved Hybrid Routing Protocol (IHRP) in MANETs Based on Situation Based Adaptive Routing AM Dembla Deepak International Journal of Electrical and Electronics Research 11 (1), 15-24 , 2023 2023 Citations: 8
Analysis and design of deep learning algorithms for retinal image classification for early detection of diabetic retinopathy A Meshram, D Dembla, R Ajmera Turkish Journal of Computer and Mathematics Education 12 (6), 2633-2641 , 2021 2021 Citations: 8
Energy efficient leach protocol for wireless sensor network (ee-leach) D Dembla, SH Mehta IJSRDV119073 165169 , 2013 2013 Citations: 8
Modeling, analysis & implementation of improved AODV routing protocol in MANETs MK Yadav, RK Khola, D Dembla International Journal of Computer Applications 41 (21), 37-42 , 2012 2012 Citations: 7
Analysis and Enhancement of Prediction of Cardiovascular Disease Diagnosis using Machine Learning Models SVM, SGD, and XGBoost. S Tomar, D Dembla, Y Chaba International Journal of Advanced Computer Science & Applications 15 (4) , 2024 2024 Citations: 6
Routing optimizing decisions in MANET: The Enhanced Hybrid Routing Protocol (EHRP) with adaptive routing based on network situation A Manhar, D Dembla International Journal on Recent and Innovation Trends in Computing and … , 2023 2023 Citations: 6
