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Hyperparameter tuning space for each machine learning algorithm.

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posted on 2021-07-09, 18:11 authored by Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi

Hyperparameter tuning space for each machine learning algorithm.

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Exploration of physiological sensors, features, and machine learning models for pain intensity estimation
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  • Space Science
  • Genetics
  • Neuroscience
  • Biotechnology
  • Biological Sciences not elsewhere classified
  • Information Systems not elsewhere classified
  • Science Policy
  • Mental Health

Keywords

pain scalewrist biosensorheat painobjective pain intensity estimation...signal-feature-model combinationElectrodermal Activityinformation-rich sensorEMGExtreme Gradient BoostingEDA signal0.92 MAEpain assessment resultsSVR model1 unitstudy participantssubject-independent modelBioVid Heat Pain DatasetECGLinear RegressionSupport Vector Regressionpain intensity estimationpain intensity predictionwearable pain measurement devicesquare error1.16 rootvalue pain intensity estimationEDA signalsestimate pain intensity3 featuressuboptimal treatment plans1.13 RMSE

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