Comparison among probabilistic neural network, support vector machine and logistic regression for evaluating the effect of subthalamic stimulation in Parkinson disease on ground reaction force during gait

Journal of Biomechanics

Volumn 43, Issue 4, 2010, Pages 720-726

  Muniz, A M S ^a   Liu, H ^b   Lyons, K E ^c   Pahwa, R ^c   Liu, W ^b   Nobre, F F ^a   Nadal, J ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

^c UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

Author keywords

Deep brain stimulation; Gait analysis; Logistic regression; Parkinson disease; Probabilistic neural network; Support vector machine

Indexed keywords

ANTERIOR POSTERIORS; BOOTSTRAP APPROACH; DEEP BRAIN STIMULATION; GROUND REACTION FORCES; INPUT VARIABLES; LIKELIHOOD RATIOS; LOGISTIC REGRESSIONS; MODEL PERFORMANCE; PARKINSON DISEASE; PRINCIPAL COMPONENT; PROBABILISTIC NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTIC CURVES; SUBTHALAMIC NUCLEUS; SUPPORT VECTOR MACHINE (SVM); TEST CONDITION; THREE COMPONENT; TREATMENT EFFECTS;

DISEASES; GAIT ANALYSIS; LOGISTICS; MICROCOMPUTERS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SURGERY;

SUPPORT VECTOR MACHINES;

ANTIPARKINSON AGENT;

ADULT; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOOTSTRAPPING; BRAIN DEPTH STIMULATION; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GAIT; GROUND REACTION FORCE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MALE; MAXIMUM LIKELIHOOD METHOD; MEDICAL ASSESSMENT; PARKINSON DISEASE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SUBTHALAMIC NUCLEUS; SUPPORT VECTOR MACHINE; TREATMENT OUTCOME; ARTIFICIAL INTELLIGENCE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; ELECTROSTIMULATION THERAPY; EVALUATION; FOOT; MECHANICAL STRESS; METHODOLOGY; MIDDLE AGED; NEUROLOGIC DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRIC STIMULATION THERAPY; FEMALE; FOOT; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PARKINSON DISEASE; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STRESS, MECHANICAL; SUBTHALAMIC NUCLEUS; THERAPY, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 77952495934     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2009.10.018     Document Type: Article

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