The Challenges of Data Visualization for Precision Medicine | Zendy

Silva Bevilacqua Tatiana | Zendy; Mendoza da Nobrega Raphael | Zendy; Chen Helen | Zendy; Pelegrini Morita Plinio | Zendy

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The Challenges of Data Visualization for Precision Medicine

Author(s) -

Silva Bevilacqua Tatiana,

Mendoza da Nobrega Raphael,

Chen Helen,

Pelegrini Morita Plinio

Publication year - 2019

Publication title -

proceedings of the international symposium of human factors and ergonomics in healthcare

Language(s) - English

Resource type - Journals

ISSN - 2327-8595

DOI - 10.1177/2327857919081027

Subject(s) - visualization , precision medicine , data science , computer science , data visualization , artificial intelligence , medicine , pathology

Precision medicine is driving medicine towards a new era where technology and large amounts of data come together to play an essential role in treatment. Data needed to empower and inform decision-makers can be overwhelming to interpret and poses unique challenges related to the visualization of data generated by machine learning and deep learning algorithms. Therefore, the present study aims to provide an in-depth understanding of the challenges, current trends, and opportunities concerning data visualization for precision medicine.

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