How to Create High-Quality Annotated Training Data Sets for Healthcare?
A study published in the Journal of the American College of Cardiology found that artificial intelligence and machine learning models can accurately predict heart attacks based on annotated ECG data. Again, researchers in the Journal of Diabetes Science and Technology found that machine learning algorithms can help predict blood glucose levels accurately based on annotated patient data. AI is certainly a boon for mankind. As it can help track and predict a number of disorders. A growing demand for healthcare-based innovation relies on artificial intelligence to process massive data sets that are completely beyond the capabilities of human beings. Those who develop AI & ML models for healthcare are well aware of the importance of annotated healthcare data sets. The raw healthcare data in more than 75% of cases is unstructured and not accessible for further processing. This limits the usability of data and the decision making abilities of healthcare organizations. C...