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Impact of System and Diagnostic Errors on Medical Litigation Outcomes: Machine Learning-Based Prediction Models
No prediction models using use conventional logistic models and machine learning exist for medical litigation outcomes involving medical doctors. Using a logistic model and three machine learning models, such as decision tree, random forest, and light-gradient boosting machine (LightGBM), we evaluat...
Autores principales: | Yamamoto, Norio, Sukegawa, Shintaro, Watari, Takashi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140545/ https://www.ncbi.nlm.nih.gov/pubmed/35628029 http://dx.doi.org/10.3390/healthcare10050892 |
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