The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods in psychiatry detection applications, specifically depression disorder: A Brief Review.
Hossein SimchiSamira TajikPublished in: CoRR (2023)
Keyphrases
- machine learning methods
- pros and cons
- machine learning
- machine learning algorithms
- machine learning approaches
- ensemble methods
- detection method
- statistical methods
- object detection
- detection algorithm
- false positives
- anomaly detection
- detection accuracy
- support vector machine
- decision trees
- semi supervised learning
- text mining
- information extraction
- automatic detection
- inductive learning
- knowledge discovery
- false alarms
- learning algorithm