Machine learning Flashcards
What are some statistical benefits of machine learning?
- Can make multivariate analysis
- Can make inferences on an individual (instead group) level
- Can help improve heterogeneity
- Can generalise outside of the sample
- Can focus on predicting not only explaining
What is the definition of machine learning?
Area of artificial intelligence (AI) concerned with the development of algorithms capable of:
(i) learning patterns from the data
(ii) using the same patterns to make predictions about unseen data
How could machine learning be used in EI services?
ML algorism can be trained to analyze data from ppl at UHR and search for patters to identify who develops psychosis
Can be used on FEP to check who is going to be treatment resistant and who will respond well to treatment
Can be used to predict relapse as well
What are the 2 types of learning in machine learning?
- Supervised
- Unsupervised
Supervised learning
Most used
We put in the labels who is who = it learns by example –> Here we rely on labels which by definitions are not good
Then after it learned we give un-labeled data (but we know the answers) and test the predictions for the algorithm
2 learning patters here are classification and regression
What is classification in supervised learning?
Predicts a class (group); yes or no; e.g. who developed psychosis
What is regression in supervised learning?
Predicts a score in continuous scale (e.g. score on PANSS scale)
