scholarly journals Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features

2017 ◽  
Vol 11 ◽  
Author(s):  
Adrian Ion-Mărgineanu ◽  
Gabriel Kocevar ◽  
Claudio Stamile ◽  
Diana M. Sima ◽  
Françoise Durand-Dubief ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Clinical Data ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0178366 ◽  
Author(s):  
Ryan S. McGinnis ◽  
Nikhil Mahadevan ◽  
Yaejin Moon ◽  
Kirsten Seagers ◽  
Nirav Sheth ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multiple Sclerosis ◽  
Gait Speed ◽  
Wearable Sensors ◽  
Learning Approach ◽  
Speed Estimation ◽  
Healthy Controls ◽  
Machine Learning Approach

scholarly journals CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

2020 ◽  
Vol 33 (5) ◽  
Author(s):  
Pietro Maggi ◽  
Mário João Fartaria ◽  
João Jorge ◽  
Francesco La Rosa ◽  
Martina Absinta ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multiple Sclerosis ◽  
Central Vein ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach

2020 ◽  
Vol 65 (9) ◽  
pp. 1367-1377
Author(s):  
David Castiñeira ◽  
Katherine R Schlosser ◽  
Alon Geva ◽  
Amir R Rahmani ◽  
Gaston Fiore ◽  
...  
Keyword(s):  
Machine Learning ◽  
Length Of Stay ◽  
Clinical Data ◽  
Vital Sign ◽  
Data Driven ◽  
Learning Approach ◽  
Machine Learning Approach
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