A Brazilian classified data set for prognosis of tuberculosis, between January 2001 and April 2020

Author:

Lino Ferreira da Silva Barros Maicon HervertonORCID,Santos Guto Leoni,de Almeida Rodrigues Maria Gabriela,Sampaio VandersonORCID,Lynn Theo,Endo Patricia TakakoORCID

Abstract

AbstractAfter COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease in the world. This work presents a data set based on data collected from the Brazilian Information System for Notifiable Diseases (SINAN) for the period from January 2001 to April 2020 relating to patients diagnosed with tuberculosis in Brazil. The data from SINAN was pre-processed to generate a new data set with two distinct treatment outcome classes: CURED and DIED. The data set comprises 37 categorical attributes (including socio-demographic, clinical, and laboratory data) as well as the target class. There are 927,909 records of patients classified as CURED and 36,190 classified as DIED, totaling 964,099 records.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference10 articles.

1. Pai, M. et al. Tuberculosis. nature reviews disease primers, 2, 16076 (2016).

2. WHO. Global tuberculosis report 2021. https://apps.who.int/iris/rest/bitstreams/1379788/retrieve. Accessed: 2022-09-20 (2021).

3. WHO. Country profiles for 30 high tb burden countries. https://www.who.int/tb/publications/global_report/tb19_Report_country_profiles_15October2019.pdf?ua=1. Accessed: 2022-09-21.

4. WHO. Tuberculosis profile: Brazil. https://worldhealthorg.shinyapps.io/tb_profiles/?_inputs_ lan=%22EN%22 iso2=%22BR%22. noteAccessed: 2022-09-21.

5. Organization, W. H. et al. Fact sheet on sustainable development goals (sdgs): Health targets. World Health Organization: Geneva, Switzerland (2018).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3