 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms |
| Ching-Yen Kuo, Liang-Chin Yu, Hou-Chaung Chen, Chien-Lung Chan |
|
Healthc Inform Res. 2018;24(1):29-37. Published online January 31, 2018 DOI: https://doi.org/10.4258/hir.2018.24.1.29 |
|
Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms Healthcare Informatics Research. 2018;24(1):29  A comparison of machine learning algorithms for the prediction of Hepatitis C NS3 protease cleavage sites The EuroBiotech Journal. 2019;3(4):167-174 Your evidence? Machine learning algorithms for medical diagnosis and prediction Human Brain Mapping. 2020;41(6):1435-1444 Early diagnosis of Parkinson’s disease using machine learning algorithms Medical Hypotheses. 2020;138:109603 Comparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan BMC Health Services Research. 2010;10(1): Machine Learning and Deep Learning Models for Traffic Flow Prediction: A Survey . 2020; Commentary: Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis Neurosurgery. 2018;85(1):E92-E93 Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms PLOS ONE. 2020;15(2):e0228422 Statistical models and learning algorithms for ordinal regression problems Information Fusion. 2013;14(2):199-207 Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models Machine Learning Proceedings 1992. 1992;406-415 |
