Abstracts tagged "machine learning and deep learning"

Abstract Number: 2201 • 2019 ACR/ARP Annual Meeting
Developing a Comprehensive Patient-Specific Disease Progression Prediction Model for Knee Osteoarthritis Using Machine/Deep Learning Methods
Afshin Jamshidi ¹, Mickael Leclercq ², Jean-Pierre Pelletier ³, Aurèlie Labbe ⁴, François Abram ⁵, Arnaud Droit ⁶ and Johanne Martel-Pelletier⁷, ¹University of Montreal Hospital Research Centre (CRCHUM); Laval University Hospital Research Centre, Québec, QC, Canada, ²Laval University Hospital Research Centre, q, QC, Canada, ³University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada, ⁴Department of Decision Sciences, HEC Montréal, Montreal, QC, Canada, ⁵ArthroLab Inc., Montreal, QC, Canada, ⁶Laval University Hospital Research Centre, Québec, QC, Canada, ⁷University of Montreal Hospital Research Centre (CRCHUM), Montreal, Canada
Background/Purpose: Current assessment of knee osteoarthritis (OA) is primarily based on a patient’s personal and familial history, clinical features, and on radiographies. However, such information…

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