Evaluating Doctor Performance: Ordinal Regression-Based Approach

Journal of Medical Internet Research
Yong ShiLingfeng Niu

Abstract

Doctor's performance evaluation is an important task in mobile health (mHealth), which aims to evaluate the overall quality of online diagnosis and patient outcomes so that customer satisfaction and loyalty can be attained. However, most patients tend not to rate doctors' performance, therefore, it is imperative to develop a model to make doctor's performance evaluation automatic. When evaluating doctors' performance, we rate it into a score label that is as close as possible to the true one. This study aims to perform automatic doctor's performance evaluation from online textual consultations between doctors and patients by way of a novel machine learning method. We propose a solution that models doctor's performance evaluation as an ordinal regression problem. In doing so, a support vector machine combined with an ordinal partitioning model (SVMOP), along with an innovative predictive function will be developed to capture the hidden preferences of the ordering labels over doctor's performance evaluation. When engineering the basic text features, eight customized features (extracted from over 70,000 medical entries) were added and further boosted by the Gradient Boosting Decision Tree algorithm. Real data sets from one of the ...Continue Reading

References

Nov 27, 2001·Journal of Medical Internet Research·G Eysenbach
Oct 23, 2002·Medical Education·Elizabeth A FarmerKaren V Mann
May 13, 2003·The Journal of Continuing Education in the Health Professions·Jocelyn Lockyer
Feb 15, 2007·Neural Computation·Wei Chu, S Sathiya Keerthi
Feb 3, 2012·Neural Computation·Hsuan-Tien Lin, Ling Li
Feb 1, 2014·Neural Computation·Ching-Pei Lee, Chih-Jen Lin
Aug 19, 2014·IEEE Transactions on Neural Networks and Learning Systems·Bin GuShuo Li
Dec 15, 2015·Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association·Belinda Borrelli, Lee M Ritterband

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Methods Mentioned

BETA
feature extraction

Software Mentioned

OR
DPE
LIBLINEAR
SVMOP
Platform X
SVOR
CWS
PAcc
mHealth
Jieba

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