Neurooncología y su relación con las herramientas de Machine Learning: Un estudio de revisión.

Authors

  • Nicolás Parra-Bolaños
  • Juan Sebastián Benjumea-Garcés
  • Julián Darío Giraldo Ocampo

DOI:

https://doi.org/10.47185/27113760.v2n1.43

Keywords:

Neurooncology. Automated Learning. Revision. Predictive Markers

Abstract

Neuro-oncology is a scientific discipline that is currently making constant use of machine learning. In this review study, a research is carried out by several of the best and most rigorous databases in the world, with the aim of understanding how machine learning, which is a tool that has resulted from the new information and communication technologies, to achieve generate algorithms and technologies based on human learning to, from the most basic and elementary principles of classical and operant conditioning, make a primiti-ve and rudimentary emulation of automated learning mechanisms in large computa�onal servers that have
been put at the service of most of exis�ng sciences. This review research has found that machine learning is
becoming an increasingly used tool by neuro-oncology experts around the world, with the prospect of genera�ng much more accurate and ambi�ous predictive markers

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Published

2021-10-01

How to Cite

Parra-Bolaños, N., Benjumea-Garcés, J. S., & Giraldo Ocampo, J. D. (2021). Neurooncología y su relación con las herramientas de Machine Learning: Un estudio de revisión. Revista Innovación Digital Y Desarrollo Sostenible - IDS, 2(1), 34 - 42. https://doi.org/10.47185/27113760.v2n1.43

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