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Using data science for medical decision making case: role of gut microbiome in multiple sclerosis.

Jasminka Hasic TelalovicAzra Music
Published in: BMC medical informatics and decision making (2020)
Our results demonstrate that the developed classification model provides a good tool that can be used to suggest the presence or absence of MS condition by collecting and analyzing gut microbiome samples. The accuracy of the model can be further increased by using sequencing methods that allow higher taxa resolution (i.e. shotgun metagenomic sequencing).
Keyphrases
  • multiple sclerosis
  • decision making
  • single cell
  • healthcare
  • mass spectrometry
  • machine learning
  • public health
  • deep learning
  • white matter
  • big data
  • single molecule
  • wastewater treatment