| Autor: |
Helen H. Chen, Plinio P. Morita, Raphael Mendoza da Nobrega, Tatiana Silva Bevilacqua |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 8:120-124 |
| ISSN: |
2327-8595 |
| DOI: |
10.1177/2327857919081027 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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