Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques

被引：0
|
作者：
Falcao, Igor Wenner Silva [1 ]
Cardoso, Diego Lisboa [1 ]
dos Santos Santos, Albert Einstein Coutinho [1 ]
Paixao, Erminio [1 ]
Costa, Fernando Augusto R. [2 ]
Figueiredo, Karla [3 ]
Carneiro, Saul [4 ]
da Rocha Seruffo, Marcos César [1 ]
机构：
[1] Institute of Technology, Federal University of Para, PA, Belém, Brazil
[2] Center for Higher Amazon Studies, Federal University of Para, PA, Belém, Brazil
[3] Computer Science, State University of Rio de Janeiro, RJ, Rio de Janeiro, Brazil
[4] João de Barros Barreto University Hospital, Federal University of Para, PA, Belém, Brazil
来源：
PeerJ Computer Science | 2024年 / 10卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
10.7717/PEERJ-CS.2246
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques
    Falcao, Igor Wenner Silva
    Cardoso, Diego Lisboa
    Santos, Albert Einstein Coutinho dos Santos
    Paixao, Erminio
    Costa, Fernando Augusto R.
    Figueiredo, Karla
    Carneiro, Saul
    Seruffo, Marcos Cesar da Rocha
    PEERJ COMPUTER SCIENCE, 2024, 10
  • [2] Application of machine learning techniques to tuberculosis drug resistance analysis
    Kouchaki, Samaneh
    Yang, Yang
    Walker, Timothy M.
    Walker, A. Sarah
    Wilson, Daniel J.
    Peto, Timothy E. A.
    Crook, Derrick W.
    Clifton, David A.
    Hoosdally, Sarah J.
    Cruz, Ana L. Gibertoni
    Carter, Joshua
    Grazian, Clara
    Fowler, Philip W.
    Iqbal, Zamin
    Hunt, Martin
    Smith, E. Grace
    Rathod, Priti
    Jarrett, Lisa
    Matias, Daniela
    Cirillo, Daniela M.
    Borroni, Emanuele
    Battaglia, Simone
    Ghodousi, Arash
    Spitaleri, Andrea
    Cabibbe, Andrea
    Tahseen, Sabira
    Nilgiriwala, Kayzad
    Shah, Sanchi
    Rodrigues, Camilla
    Kambli, Priti
    Surve, Utkarsha
    Khot, Rukhsar
    Niemann, Stefan
    Kohl, Thomas
    Merker, Matthias
    Hoffmann, Harald
    Molodtsov, Nikolay
    Plesnik, Sara
    Ismail, Nazir
    Omar, Shaheed Vally
    Joseph, Lavania
    Marubini, Elliott
    Thwaites, Guy
    Thuong Nguyen Thuy Thuong
    Nhung Hoang Ngoc
    Srinivasan, Vijay
    Moore, David
    Coronel, Jorge
    Solano, Walter
    Gao, George F.
    BIOINFORMATICS, 2019, 35 (13) : 2276 - 2282
  • [3] A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques
    Li, Xia
    Jiang, Zhangjun
    Wang, Sichao
    Li, Xinglong
    Liu, Yu
    Wang, Xuhui
    AGRONOMY-BASEL, 2023, 13 (04):
  • [4] Predicting Recidivism to Drug Distribution using Machine Learning Techniques
    Butsara, Nuttawit
    Athonthitichot, Panchan
    Jodpimai, Pichai
    2019 17TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2019, : 165 - 169
  • [5] Clinical intelligence: New machine learning techniques for predicting clinical drug response
    Turki, Turki
    Wang, Jason T. L.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 107 : 302 - 322
  • [6] Experimental Analysis of Tuberculosis Classification Based on Clinical Data Using Machine Learning Techniques
    Yugaswara, Hery
    Fathurahman, Muhamad
    Suhaeri
    RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2020), 2020, 978 : 153 - 160
  • [7] Predicting Drug Resistance in Mycobacterium tuberculosis: A Machine Learning Approach to Genomic Mutation Analysis
    Paredes-Gutierrez, Guillermo
    Perea-Jacobo, Ricardo
    Acosta-Mesa, Hector-Gabriel
    Mezura-Montes, Efren
    Morales Reyes, Jose Luis
    Zenteno-Cuevas, Roberto
    Guerrero-Chevannier, Miguel-angel
    Muniz-Salazar, Raquel
    Flores, Dora-Luz
    DIAGNOSTICS, 2025, 15 (03)
  • [8] PREDICTING NASH PATIENTS USING INNOVATIVE MACHINE LEARNING TECHNIQUES
    Docherty, M.
    Huang, J.
    Regnier, S. A.
    Capkun, G.
    Balp, M. M.
    Ye, Q.
    Janssens, N.
    Lopez, P.
    Pedrosa, M.
    Schattenberg, J. M.
    VALUE IN HEALTH, 2019, 22 : S595 - S595
  • [9] Tuberculosis drug resistance profiling based on machine learning: A literature review
    Sharma, Abhinav
    Machado, Edson
    Lima, Karla Valeria Batista
    Suffys, Philip Noel
    Conceicao, Emilyn Costa
    BRAZILIAN JOURNAL OF INFECTIOUS DISEASES, 2022, 26 (01):
  • [10] A critical review on predicting drug-drug reactions using machine learning techniques
    Kumar, Saran A.
    Rekha, R.
    RESEARCH JOURNAL OF BIOTECHNOLOGY, 2021, 16 (10): : 186 - 188
12345