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DTSTART;TZID=America/Toronto:20190717T121500
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SUMMARY:Data Mining and Machine Learning with Application to Medical Data
DESCRIPTION:Wednesday July 17th\, 2019 at 12:15 p.m. Prof. Steven Wang\, Professor in Statistics at York University\, will be presenting “Data Mining and Machine Learning with Application to Medical Data”. \nDay & Time: Wednesday July 17th\, 2019\n12:15 p.m. ‐ 1:15 p.m. \nSpeaker: Prof. Steven Wang\nProfessor in Statistics\nDepartment of Mathematics and Statistics York University \nOrganizers: IEEE Toronto Robotics\, IEEE Toronto WIE\, EMB\, UHN \nLocation: TRI-UC\, Basement Lecture theatre\n550 University Ave.\, Toronto\, M5G 2A2 \nGoToMeeting: https://global.gotomeeting.com/join/435099981 \nContact: Prof. Azadeh Yadollahi \nAbstract: In this talk\, we will discuss some applications of data mining and machine learning to medical data. We will discuss a variety of topics: genetic analysis\, signal processing method for ECG and EEG\, personalized medicine\, autoimmune disease and human microbiome analysis. We will also share our experience on data including issues related to data cleaning and missing values. \nBiography: Dr. Steven Wang is a professor in Statistics at the Department of Mathematics and Statistics. He received his Ph.D. in Statistics from the University of British Columbia in 2001 and did one year Postdoc on Data Mining at the Pacific Institute of Mathematical Sciences. He joined York University in 2002 and currently a full professor in Statistics. His research included statistical theory\, data mining\, optimization and machine learning. With his co-inventors\, he has applied a Canadian and US patent for deep learning method. In the past 10 years\, his research is focused on machine learning and medical data. \nPoster: See Poster
URL:https://www.ieeetoronto.ca/event/data-mining-and-machine-learning-with-application-to-medical-data/
LOCATION:TRI-UC\, Basement Lecture theatre 550 University Ave.\, Toronto\, M5G 2A2
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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DTSTART;TZID=America/Toronto:20190524T121500
DTEND;TZID=America/Toronto:20190524T131500
DTSTAMP:20260424T235143
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LAST-MODIFIED:20210430T231820Z
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SUMMARY:Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease
DESCRIPTION:Friday May 24th\, 2019 at 12:15 p.m. Prof. Zahra Moussavi\, Director of the Biomedical Engineering Program at University of Manitoba and Canada Research Chair\, will be presenting “Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease”. \nDay & Time: Friday May 24th\, 2019\n12:15 p.m. ‐ 1:15 p.m. \nSpeaker: Zahra Moussavi\nDirector of the Biomedical Engineering Program\nProfessor & Canada Research Chair\nDepartment of Electrical & Computer Engineering\nUniversity of Manitoba \nOrganizers: IEEE Toronto WIE\, IEEE Toronto\, IEEE Toronto Engineering in Medicine and Biology Chapter\, UHN \nLocation: TRI-UC\, Basement Lecture Theatre\n550 University Ave.\, Toronto\, M5G 2A2 \nGoToMeeting: https://global.gotomeeting.com/join/543203653 \nContact: Dr. Maryam Davoudpour \nAbstract: Memory and cognitive declines are associated with normal brain aging but are also precursors to dementia\, in particular the so called the pandemic of the century\, Alzheimer’s disease. While currently there is no cure or “vaccine” against dementia\, based on brain’s plasticity\, there are hopes to delay the onset or to slow the progression of disease. \nAlzheimer’s disease is multi-facet condition; thus\, the key to its management is in multi- disciplinary approaches. The clinical diagnosis of neurodegenerative disorders\, in general\, is based on an extensive evaluation of cognition and behavioral performance along with functional status\, which provides a variable grade of accuracy especially at early stages of the disease. In this talk\, I will review diagnostic objective methods that can assist Alzheimer’s diagnosis. In particular\, I will elaborate on the application and research outcomes of virtual reality egocentric spatial assessment for and its potentials for a differential diagnosis of Alzheimer’s versus other types of dementia. \nBiography: Zahra Moussavi is a professor\, a Canada Research Chair\, and the founder and director of Biomedical Engineering Graduate Program at University of Manitoba. Her current research focuses are on medical devices instrumentation and signal analysis for sleep apnea management and Alzheimer’s diagnosis and treatment using virtual reality\, rTMS and EVestG technologies. She is the recipient of several awards including the “Canada’s Most Powerful Women (Top 100)” and “Manitoba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer\, 2014 and 2019. She has published more than 259 peer-reviewed papers in journals and conferences\, and has given 94 invited talks/seminars including 2 Tedx Talks and 9 keynote speaker seminars at national and international conferences. Aside from academic work\, on her spare time\, she writes science articles for public; also has developed and offered memory fitness programs for aging population. \nPoster Link: Click here
URL:https://www.ieeetoronto.ca/event/assessment-of-egocentric-spatial-orientation-using-virtual-reality-for-diagnosis-and-monitoring-alzheimers-disease/
LOCATION:TRI-UC\, Basement Lecture theatre 550 University Ave.\, Toronto\, M5G 2A2
CATEGORIES:Engineering in Medicine and Biology,Women in Engineering
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