How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review

dc.contributor.author Lino Ferreira Da Silva Barros, Maicon Herverton
dc.contributor.author Da Silva Neto, Sebastião Rogerio
dc.contributor.author Almeida Rodrigues, Maria Gabriela
dc.contributor.author De Souza Sampaio, Vanderson
dc.contributor.author Endo, Patricia Takako
dc.date.accessioned 2022-12-27T18:58:38Z
dc.date.available 2022-12-27T18:58:38Z
dc.date.issued 2023-01-03
dc.description.abstract Tuberculosis (TB) is a disease with a global impact that over the years has mainly affected the poorest countries. After confirming the TB diagnosis, the health professional needs to analyze the severity of the clinical situation of the patient in order to make decisions about their treatment, which may include admission to Intensive Care Unit (ICU). The aim of this paper is to present a systematic review focused on Machine Learning (ML) models for predicting TB treatment outcomes. From 253 articles found through a boolean search, only 12 of them were classified as relevant, presented and discussed in this work. Results show that the current literature is focused on binary classification, mainly using tree-based ML algorithms. Based on the results of this systematic review, we state that there are many opportunities to develop new scientific projects in this area, highlighting the need for rigorous methodology to conduct models' configuration as well as experiments to evaluate them.
dc.format.extent 10
dc.identifier.doi 10.24251/HICSS.2023.173
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/102803
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Service Analytics
dc.subject artificial intelligence
dc.subject prediction
dc.subject prognosis
dc.subject treatment outcomes
dc.subject tuberculosis
dc.title How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review
dc.type.dcmi text
prism.startingpage 1386
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