3 years ago

When machine learning meets medical world: Current status and future challenges

Abir Smiti

Imagine the enormous amounts of data that can be generated in the medical field. Each patient has his own medical record which contains valuable information like patient allergy, chronic diseases and vaccinations. Healthcare can profit from this data when it is properly analyzed. The more data gathered, the more complicated data analytics become, therefore, machine learning can be a very useful solution not only to facilitate analysis but also to save time.

In this paper basic concepts of the medical field and machine learning will be described. We will show how data analytic can help in the healthcare process. Finally, we will present some challenges that must be carefully studied in order to obtain effective solutions in medical diagnosis.

Publisher URL: https://www.sciencedirect.com/science/article/pii/S157401372030126X

DOI: 10.1016/j.cosrev.2020.100280

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