IEEE J Biomed Health Inform - A Prediction Model for Functional Outcomes in Spinal Cord DisorderPatients using Gaussian Process Regression.

Tópicos

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Resumo

Predicting the functional outcomes of spinal cord disorder patients after medical treatments, such as a surgical operation, has always been of great interest. Accurate posttreatment prediction is especially beneficial for clinicians, patients, care-givers, and therapists. This paper introduces a prediction method for postoperative functional outcomes by a novel use of Gaussian process regression. The proposed method specifically considers the restricted value range of the target variables by modeling the Gaussian process based on a truncated Normal distribution, which significantly improves the prediction results. The prediction has been made in assistance with target tracking examinations using a highly portable and inexpensive handgrip device, which greatly contributes to the prediction performance. The proposed method has been validated through a dataset collected from a clinical cohort pilot involving 15 patients with cervical spinal cord disorder. The results show that the proposed method can accurately predict postoperative functional outcomes, Oswestry Disability Index and target tracking scores, based on the patient's preoperative information with a mean absolute error of 0:079 and 0:014 (out of 1:0), respectively.

Resumo Limpo

predict function outcom spinal cord disord patient medic treatment surgic oper alway great interest accur posttreat predict especi benefici clinician patient caregiv therapist paper introduc predict method postop function outcom novel use gaussian process regress propos method specif consid restrict valu rang target variabl model gaussian process base truncat normal distribut signific improv predict result predict made assist target track examin use high portabl inexpens handgrip devic great contribut predict perform propos method valid dataset collect clinic cohort pilot involv patient cervic spinal cord disord result show propos method can accur predict postop function outcom oswestri disabl index target track score base patient preoper inform mean absolut error respect

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