Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Parkinsons Disease Progression Prediction using Advanced Machine Learning Techniques Subject The topic of the resource CatBoost regressor; extraTrees regressor; machine learning; parkinsons' disease; proteomic data; unified parkinson's disease rating scale (UPDRS) Description An account of the resource Parkinson's disease (PD) is a neurodegenerative condition that affects people over time and significantly lowers their quality of life. Patients with PD experience both motor and non-motor symptoms. Through clinical evaluation, the Unified Parkinson's Disease Rating Scale (UPDRS) is used to quantify the severity of Parkinson's disease. No definitive diagnostic tests for PD currently exist. Emerging machine learning techniques show potential to forecast future UPDRS scores for making informed medical decisions and enable better disease management. This paper studies research leveraging proteomic data to forecast PD prognosis, focusing on advanced machine learning techniques like CatBoost Regressor, ElasticNet, XGBoost Regressor, RandomForest Regressor, ExtraTrees Regressor and DecisionTree Regressor. 2024 IEEE. Creator An entity primarily responsible for making the resource Bhattacharya T.; Thomas K.T.; Mathew L. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10739044" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10739044</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187364&amp;doi=10.1109%2FICEECT61758.2024.10739044&amp;partnerID=40&amp;md5=770985e5c402d6feaf3e55beb81e911b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187364&amp;doi=10.1109%2fICEECT61758.2024.10739044&amp;partnerID=40&amp;md5=770985e5c402d6feaf3e55beb81e911b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhattacharya T., Christ (Deemed To Be) University, Department of Data Science, Pune, India; Thomas K.T., Christ (Deemed To Be) University, Department of Data Science, Pune, India; Mathew L., Christ (Deemed To Be) University, Department of Data Science, Pune, India