{"id":8441,"date":"2020-12-08T14:45:38","date_gmt":"2020-12-08T13:45:38","guid":{"rendered":"https:\/\/www.uni.lu\/fr\/events\/an-overview-of-ml-methods-to-model-symptoms-in-movement-disorders-the-case-of-parkinsons-disease-from-classical-ml-to-dl\/"},"modified":"2020-12-08T14:45:38","modified_gmt":"2020-12-08T13:45:38","slug":"an-overview-of-ml-methods-to-model-symptoms-in-movement-disorders-the-case-of-parkinsons-disease-from-classical-ml-to-dl","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fr\/events\/an-overview-of-ml-methods-to-model-symptoms-in-movement-disorders-the-case-of-parkinsons-disease-from-classical-ml-to-dl\/","title":{"rendered":"An overview of ML methods to model symptoms in movement disorders (the case of Parkinson\u2019s disease): from classical ML to DL"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>This conference is part of the\u00a0<strong>AI4Health Lecture Series\u00a0<\/strong>organised by the Department of Computer Science and the Department of Life Sciences and Medicine of the University of Luxembourg.\u00a0<\/p>\n<h3 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"abstract\"\n    >\nAbstract<\/h3>\n<p>There exist different movement disorders with different origin. Parkinson\u2019s disease (PD) is one of those disorders and appears due to the progressive death of dopaminergic neurons in the substantia nigra of the mid-brain. Diagnosis and monitoring of PD patients is still highly subjective, time consuming and expensive. Existing medical scales used to evaluate the neurological state of PD patients cover many different aspects, including activities of daily living, motor aspects, speech and depression. This makes the task of automatically reproducing experts\u2019 evaluation very difficult because several bio-signals and modeling methods are required to produce clinically acceptable\/practical results.<\/p><p>This talk tries to show part of the way that has been traveled since about ten years considering different bio-signals (e.g., speech, gait, and handwriting) and methods of Machine Learning and the relatively new topics of Deep Learning (DL) with the aim to find suitable models for PD diagnosis and monitoring. Results with classical feature extraction and classification methods will be presented and also experiments with CNN and LSTM architectures will be discussed.<\/p>\n<h3 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"speaker\"\n    >\nSpeaker<\/h3>\n<p>Juan Rafael Orozco-Arroyave was born in Medell\u00edn, Colombia in 1981. He is an Electronics Engineer from the University of Antioquia (2004). From 2004 to 2009 he was working for a telco company in Medell\u00edn, Colombia. In 2011 he finished the MSc. degree in Telecommunications from the Universidad de Antioquia. In 2015 he finished the PhD in Computer Science in a double degree program between the University of Erlangen (Germany) and the University of Antioquia (Colombia). Currently Juan Rafael Orozco-Arroyave is associate Professor at the University of Antioquia and adjunct researcher at the Pattern Recognition Lab at the University of Erlangen.<\/p><p>Participation via this link:\u00a0<\/p><p><a href=\"https:\/\/unilu.webex.com\/unilu\/j.php?MTID=m321de1741e5670737950863dd1982d5a\" target=\"_self\" title=\"\" rel=\"noopener\">https:\/\/unilu.webex.com\/unilu\/j.php?MTID=m321de1741e5670737950863dd1982d5a<\/a><\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>This conference is part of the\u00a0AI4Health Lecture Series\u00a0organised by the Department of Computer Science and the Department of Life Sciences and Medicine of the University of Luxembourg.\u00a0<\/p>\n","protected":false},"author":0,"featured_media":8442,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2021-01-27 16:00:00","event_end_date":"2021-01-27 17:30:00","event_speaker_name":"Prof. Juan Rafael Orozco-Arroyave","event_speaker_link":"","event_is_online":false,"event_location":"Online via Webex","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[],"events-type":[],"organisation":[25,226],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An overview of ML methods to model symptoms in movement disorders (the case of Parkinson\u2019s disease): from classical ML to DL - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"This conference is part of the\u00a0AI4Health Lecture Series\u00a0organised by the Department of Computer Science and the Department of Life Sciences and Medicine of the University of Luxembourg.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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