Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment

Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment

HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar viruses. The process involves connecting genetically similar genotyped viral sequences in the network implying epidemiological transmissions. This technique relies on genotype data which is collected o...

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Bibliographic Details
Main Authors: Little, S.J (Author), Mazrouee, S. (Author), Wertheim, J.O (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
Algorithms
Article
classification algorithm
cluster analysis
Cluster Analysis
cohort analysis
computer model
controlled study
decision tree
disease transmission
Feasibility Studies
feasibility study
female
genetic trait
genotype
groups by age
health care access
HIV Infections
human
Human immunodeficiency virus infection
Humans
machine learning
Machine Learning
major clinical study
male
metadata
Metadata
molecular dynamics
population structure
random forest
sensitivity and specificity
sexual orientation
support vector machine
virus load
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