PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, et al. Journal of Mechanics of Continua and Mathematical Sciences, 2025 Motor symptoms, such as tremors, bradykinesia, stiffness, and posture issues, are produced by the loss of dopamine-producing neurons in the spinal column portion of the brain, which is characteristic of Parkinson's disease (PD). To properly control and treat PD, the condition must be identified as soon as possible. Machine learning techniques, which use data-driven methodologies, provide intriguing possibilities for reaching this aim. These methods involve the analysis of various types of data, including clinical assessments, imaging scans, and genetic markers, to develop accurate predictive models. Even in the initial stages of the conditions, machine learning techniques can discriminate between patients who have and do not have PD by identifying minor variations and traits from such multivariate data. These models support early diagnosis and enable personalized treatment strategies tailored to the specific needs of patients. Additionally, integrating wearable sensors and mobile health technologies further enhances the feasibility of continuous monitoring and early detection, providing patients and healthcare practitioners with the tools they need to manage PD proactively. To identify diseases, one can access vast databases of medical information. To diagnose PD, the proposed method uses two different data sets. Algorithms for machine learning are also capable of helping in producing specific details from such data. The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. When used to diagnose Parkinson's disease (PD), the proposed methods produce accuracy rates of 98.9% for Naive Bayes and 97.3% for Logistic Regression.
Enhanced Multi-Class Cardiac Sound Diagnosis using Advanced PCG Signal Analysis and Deep Learning Integration 16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
Few-Shot Urgency Classification of Crisis Tweets via Multi-View Feature Learning S Renimol, JS Rajkumar 2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026 2026
Multi-Domain EEG Fusion and Hybrid Ensembles for ADHD Subtype Intelligence AA Mathew, NV Babu, JS Rajkumar 2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026 2026
Deep Unfolding-Based Graph Transformer Framework for Early Detection of Diabetic Retinopathy Using OCT Images A Bose, NV Babu, JS Rajkumar 2026 4th International Conference on Intelligent Data Communication … , 2026 2026
Adaptive Temporal–Spatial Attention Framework for Early Epileptic Seizure Prediction Using Multichannel EEG Signals J Chris, NV Babu, JS Rajkumar 2026 Sixth International Conference on Advances in Electrical, Computing … , 2026 2026
MediScan: An AI-Powered Multi-Disease Diagnostic Support System Using Medical Imaging AM Thomas, JS Rajkumar, NV Babu 2025 4th International Conference on Applied Artificial Intelligence and … , 2025 2025
HematoScribe AI: A Transparent & Explainable System for Bone Marrow Cell Analysis S Sam, RK JS, NV Babu, RG Nancy 2025 6th International Conference on IoT Based Control Networks and … , 2025 2025
Multi-Modal AI Personal Health Risk Prediction and Early Alert System AB Abraham, RK JS, NV Babu, RG Nancy 2025 4th International Conference on Automation, Computing and Renewable … , 2025 2025
Explainable Digital Twin Framework for Aircraft Engine Maintenance CJ George, JS Rajkumar, NV Babu 2025 International Conference on NexGen Networks and Cybernetics (IC2NC … , 2025 2025
Semantic Kernel for Software Engineering: A Multi-Agent Framework for Autonomous Development Lifecycles BV Adithya, RK JS, NV Babu 2025 9th International Conference on Electronics, Communication and … , 2025 2025
Nanosheet transistors: materials, devices, systems and applications A Angelin Delighta, JS Raj Kumar, IV Binola K Jebalin, D Nirmal Journal of Materials Science 60 (16), 6769-6806 , 2025 2025 Citations: 3
Forest wildfire detection from satellite image using deep learning D Elizaroshan, JSR Kumar 2024 International Conference on Communication, Computing and Internet of … , 2024 2024 Citations: 2
Monitoring industrial protection gear using intelligent system M Yakubraj, JS Rajkumar, S Sophas Samuel, G Matthew Palmer, ... 2024 2nd International Conference on Networking and Communications (ICNWC), 1-6 , 2024 2024 Citations: 5
Investigations of ScAlN/AlGaN split barrier inspired high electron mobility transistor JSR Kumar, D Nirmal, HVD John, KB Jebalin AIP Conference Proceedings 2901 (1), 080018 , 2023 2023 Citations: 2
A comprehensive review of AlGaN/GaN High electron mobility transistors: Architectures and field plate techniques for high power/high frequency applications JSR Kumar, HV Du John, BKJ IV, J Ajayan, D Nirmal Microelectronics Journal 140, 105951 , 2023 2023 Citations: 43
Anesthetic Management in a 4-Year-Old Child Undergoing Removal of a Gemstone Tracheobronchial Foreign Body R Kumar, TK Jayakumar, A Sinha, S Kumar Journal of Indian Association of Pediatric Surgeons 28 (5), 448-449 , 2023 2023
Simulation Study of Stacked Oxide Layer NCFET for RF Applications VS Navya, HV Du John, JSR Kumar, A Franklin, D Nirmal 2023 8th International Conference on Communication and Electronics Systems … , 2023 2023
Investigation on Fe-Doped AlGaN/GaN HEMT at 148 GHz Using E-FPL Technology for High-Frequency Communication Systems SA Franklin, S Chander, JSR Kumar, J Ajayan, D Nirmal ECS Journal of Solid State Science and Technology 12 (3), 035006 , 2023 2023 Citations: 4
Investigation on L G = 50 nm Tapered T-Gated AlGaN/GaN HEMT on Silicon Wafer with a f T /f max of 264/312 GHz for beyond 5G (B5G) Applications JSR Kumar, D Nirmal, J Ajayan, S Tayal Silicon 14 (17), 11315-11322 , 2022 2022 Citations: 10
Design and simulation of a T-gated AlGaN/GaN HEMT with added mini field plate JSR Kumar, D Nirmal, HV Du John, SA Franklin, G Samuel 2022 3rd International Conference on Electronics and Sustainable … , 2022 2022 Citations: 3
Intensive study of field-plated AlGaN/GaN HEMT on silicon substrate for high power RF applications JSR Kumar, D Nirmal, MK Hooda, S Singh, J Ajayan, L Arivazhagan Silicon 14 (8), 4277-4282 , 2022 2022 Citations: 23
MOST CITED SCHOLAR PUBLICATIONS
Improved RF and DC performance in AlGaN/GaN HEMT by P-type doping in GaN buffer for millimetre-wave applications L Arivazhagan, D Nirmal, D Godfrey, J Ajayan, P Prajoon, ASA Fletcher, ... AEU-International Journal of Electronics and Communications 108, 189-194 , 2019 2019 Citations: 55
A comprehensive review of AlGaN/GaN High electron mobility transistors: Architectures and field plate techniques for high power/high frequency applications JSR Kumar, HV Du John, BKJ IV, J Ajayan, D Nirmal Microelectronics Journal 140, 105951 , 2023 2023 Citations: 43
Intensive study of field-plated AlGaN/GaN HEMT on silicon substrate for high power RF applications JSR Kumar, D Nirmal, MK Hooda, S Singh, J Ajayan, L Arivazhagan Silicon 14 (8), 4277-4282 , 2022 2022 Citations: 23
Investigation on L G = 50 nm Tapered T-Gated AlGaN/GaN HEMT on Silicon Wafer with a f T /f max of 264/312 GHz for beyond 5G (B5G) Applications JSR Kumar, D Nirmal, J Ajayan, S Tayal Silicon 14 (17), 11315-11322 , 2022 2022 Citations: 10
AlGaN/GaN HEMT for highly sensitive detection of Bio-molecules using transconductance method PP Kumar Reddy, SB Lakshmi, L Arivazhgan, JS Raj Kumar, D Nirmal IOP conference series: materials science and engineering 872 (1), 012048 , 2020 2020 Citations: 8
Modeling of self-heating for AlGaN/GaN HEMT with thermal conductivity degradation effect L Arivazhagan, D Nirmal, J Ajayan, D Godfrey, JS Rakkumar, SB Lakshmi AIP Conference Proceedings 2201 (1), 020010 , 2019 2019 Citations: 7
DC Performance analysis of AlGaN/GaN HEMT for future High power applications PP Pandit, L Arivazhagan, P Prajoon, JS Rajkumar, J Ajayan, D Nirmal 2018 4th International Conference on Devices, Circuits and Systems (ICDCS … , 2018 2018 Citations: 7
Monitoring industrial protection gear using intelligent system M Yakubraj, JS Rajkumar, S Sophas Samuel, G Matthew Palmer, ... 2024 2nd International Conference on Networking and Communications (ICNWC), 1-6 , 2024 2024 Citations: 5
Variable thermal resistance model of GaN-on-SiC with substrate scalability L Arivazhagan, D Nirmal, S Chander, J Ajayan, D Godfrey, JS Rajkumar, ... Journal of Computational Electronics 19 (4), 1546-1554 , 2020 2020 Citations: 5
Investigation on Fe-Doped AlGaN/GaN HEMT at 148 GHz Using E-FPL Technology for High-Frequency Communication Systems SA Franklin, S Chander, JSR Kumar, J Ajayan, D Nirmal ECS Journal of Solid State Science and Technology 12 (3), 035006 , 2023 2023 Citations: 4
Self-heating analysis of GaN-HEMT for various ambient temperature and substrate thickness L Arivazhagan, AHM Jarndal, S Chander, D Godfrey, RK JS, ... 2020 5th International Conference on Devices, Circuits and Systems (ICDCS … , 2020 2020 Citations: 4
Nanosheet transistors: materials, devices, systems and applications A Angelin Delighta, JS Raj Kumar, IV Binola K Jebalin, D Nirmal Journal of Materials Science 60 (16), 6769-6806 , 2025 2025 Citations: 3
Design and simulation of a T-gated AlGaN/GaN HEMT with added mini field plate JSR Kumar, D Nirmal, HV Du John, SA Franklin, G Samuel 2022 3rd International Conference on Electronics and Sustainable … , 2022 2022 Citations: 3
Forest wildfire detection from satellite image using deep learning D Elizaroshan, JSR Kumar 2024 International Conference on Communication, Computing and Internet of … , 2024 2024 Citations: 2
Investigations of ScAlN/AlGaN split barrier inspired high electron mobility transistor JSR Kumar, D Nirmal, HVD John, KB Jebalin AIP Conference Proceedings 2901 (1), 080018 , 2023 2023 Citations: 2
Enhancement of drain current in AlGaN/GaN HEMT using AlN passivation L Arivazhagan, D Nirmal, J Ajayan, D Godfrey, JS Rajkumar, SB Lakshmi AIP Conference Proceedings 2201 (1), 020009 , 2019 2019 Citations: 2
DC and RF Analysis of AlGaN/GaN MOS-HEMT for High Power Application JSR Kumar, D Nirmal, L Arivazhagan, PP Pandit 2019 2nd International Conference on Signal Processing and Communication … , 2019 2019 Citations: 2
Few-Shot Urgency Classification of Crisis Tweets via Multi-View Feature Learning S Renimol, JS Rajkumar 2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026 2026
Multi-Domain EEG Fusion and Hybrid Ensembles for ADHD Subtype Intelligence AA Mathew, NV Babu, JS Rajkumar 2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026 2026
Deep Unfolding-Based Graph Transformer Framework for Early Detection of Diabetic Retinopathy Using OCT Images A Bose, NV Babu, JS Rajkumar 2026 4th International Conference on Intelligent Data Communication … , 2026 2026