Advancing intrauterine adhesion severity prediction: Integrative machine learning approach with hysteroscopic cold knife system, clinical characteristics and hematological parameters.
Jie YangXiaodong ZhengJiajia PanYumei ChenCong ChenZhiqiong HuangPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- machine learning
- prediction accuracy
- linear regression model
- minimally invasive
- pattern recognition
- root mean square error
- parameter estimation
- patient data
- prediction error
- data mining
- prediction model
- computer vision
- expectation maximization
- maximum likelihood
- text classification
- medical images
- support vector machine
- machine learning algorithms
- model selection
- machine learning methods
- three dimensional