A Review on Machine Learning Strategies for Real-World Engineering Applications

Table 3

Neural networks comparison.

Machine learning applications in	Domain	Areas	References
Prognosis		In clinical practice, the process of forecasting the disease development is called prognosis. Prognosis can predict various things like survival chances, corresponding disease related health issues detection, will the disease be stable, improve or become worse and finally, prognosis can forecast the symptoms of the disease	[67–69]
Diagnosis	Health records in electronic format	Patient’s full history of medication is generated by healthcare services and hospitals which is stored in terms of records in electronic formats. This generated data will be consisting of unstructured and structured data. For aiding the process of diagnosis ML-based methods are applied over electronic health records for fetching the features	[70–73]
Treatment	Analysis of image in the medical fields	Image retrieval, image registration, image reconstruction, image segmentation, image classification, image detection, image enhancement	[74–93]
Clinical workflow	Interpretation of an image	Radiologists are responsible for analyzing the images and the results of the study will be written in the radiology reports	[94–97]