Data Science in the Health Sector

Data Science for Medical Imaging

Data Science methods allow the visualization of the inner part of the human body. Doctors have a tradition of looking at these images by hand and finding irregularities in them. However, microscopic lesions were often severe, and therefore, physicians could not recommend a detailed diagnosis. Thanks to the image distribution, it is possible to look for flaws in scanned images. Also, there are other methods of image processing, such as image analysis using reference vector machines, image magnification and structure, edge analysis, and the like.
Data Science for Genomics

The genome contains DNA and all the genes in the body. Since the creation of the Human - Genome - Project, research has developed rapidly and integrated into the field of Data Science and big data. The goal of researchers is to identify genetic material and look for irregularities and deficiencies. Then they find the connection between genetics and human health. Also, genetic research involves finding the right drug to better understand how the drug responds to a particular genetic problem.

MapReduce processes genetic data and reduces the processing time of genetic sequences. Galaxy is a GUI-based biological research program that allows you to perform various genome functions. Last, of all, Bioconductor is open source software designed to analyze and understand genetic data. There are still many unexplored oceans in biology and bioinformatics.

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