{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T22:44:08Z","timestamp":1776206648954,"version":"3.50.1"},"reference-count":75,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:00:00Z","timestamp":1641427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Operational Program Competitiveness, Entrepreneurship and Innovation","award":["T1EDK-05029"],"award-info":[{"award-number":["T1EDK-05029"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Parkinson\u2019s disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of abnormal Lewy body protein particles. PD is an idiopathic disease of the nervous system, characterized by motor and nonmotor manifestations without a discrete onset of symptoms until a substantial loss of neurons has already occurred, enabling early diagnosis very challenging. Sensor-based platforms have gained much attention in clinical practice screening various biological signals simultaneously and allowing researchers to quickly receive a huge number of biomarkers for diagnostic and prognostic purposes. The integration of machine learning into medical systems provides the potential for optimization of data collection, disease prediction through classification of symptoms and can strongly support data-driven clinical decisions. This work attempts to examine some of the facts and current situation of sensor-based approaches in PD diagnosis and discusses ensemble techniques using sensor-based data for developing machine learning models for personalized risk prediction. Additionally, a biosensing platform combined with clinical data processing and appropriate software is proposed in order to implement a complete diagnostic system for PD monitoring.<\/jats:p>","DOI":"10.3390\/s22020409","type":"journal-article","created":{"date-parts":[[2022,1,9]],"date-time":"2022-01-09T23:08:26Z","timestamp":1641769706000},"page":"409","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A Sensor-Based Perspective in Early-Stage Parkinson\u2019s Disease: Current State and the Need for Machine Learning Processes"],"prefix":"10.3390","volume":"22","author":[{"given":"Marios G.","family":"Krokidis","sequence":"first","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7817-9552","authenticated-orcid":false,"given":"Georgios N.","family":"Dimitrakopoulos","sequence":"additional","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"given":"Aristidis G.","family":"Vrahatis","sequence":"additional","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"given":"Christos","family":"Tzouvelekis","sequence":"additional","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"given":"Dimitrios","family":"Drakoulis","sequence":"additional","affiliation":[{"name":"Telesto Technologies, 15561 Athens, Greece"}]},{"given":"Foteini","family":"Papavassileiou","sequence":"additional","affiliation":[{"name":"Telesto Technologies, 15561 Athens, Greece"}]},{"given":"Themis P.","family":"Exarchos","sequence":"additional","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0053-7847","authenticated-orcid":false,"given":"Panayiotis","family":"Vlamos","sequence":"additional","affiliation":[{"name":"Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17013","DOI":"10.1038\/nrdp.2017.13","article-title":"Parkinson disease","volume":"23","author":"Poewe","year":"2017","journal-title":"Nat. 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