Vol. 1 No. 1 (2020): Data Science, Artificial Intelligence and Health
Articles

Data Science and Machine Learning at the service of clinical decision-making in oncology

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  • Catarina Santos,
  • Mário Amorim Lopes
Catarina Santos
INESC TEC and Faculty of Engineering - U.Porto
Mário Amorim Lopes
INESC TEC and Faculty of Engineering - U.Porto

Published 2020-12-02

How to Cite

Santos, C., & Lopes, M. A. (2020). Data Science and Machine Learning at the service of clinical decision-making in oncology. INESC TEC Science&Society, 1(1), 40–44. Retrieved from https://science-society.inesctec.pt/index.php/inesctecesociedade/article/view/30

Copyright (c) 2020 INESC TEC & Society

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Health institutions, and hospitals in particular, deal on a daily basis with an object of immense value: data. If these data could be extracted out of the textual clinical records and fed into machine learning models developed for assisting physicians in clinical decision-making, new opportunities would arise to clinical practice, clinical research, but above all to patients.

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