Following are the key aspects of Machine Learning (ML) in Healthcare:
1) Cheap Learning versus Deep Learning
2) Biomimic leveraging artificial neural networks
3) Personalized medicine
5) Patient Safety
Critical components of Machine Learning include – Data collection or data extraction, data processing, domain knowledge, contextual intelligence, data aggregation, training, choice of metrics and outcomes, testing/validation and deployment.
The choice of optimization is key to machine learning. The key is the system, algorithms learn from example data sets. So, spend lot of time in analyzing and optimizing the metrics for best performance. Gaining actionable intelligence and insights are key success factors of machine learning.