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Informatics for Health and Social Care Volume 44, 2019 - Issue 2
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Original Articles

Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models

Owais A. HussainGraduate School of Science and Engineering, Karachi Institute of Economics and Technology, Karachi, PakistanCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5449-1867
ORCID Icon &
Khurum N. JunejoGraduate School of Science and Engineering, Karachi Institute of Economics and Technology, Karachi, PakistanORCID Iconhttp://orcid.org/0000-0002-3513-5808
ORCID Icon
Pages 135-151 | Published online: 20 Feb 2018

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Chang-Chih Tsai, Chung-Feng Liu, Hung-Jung Lin, Tzu-Chi Lin, Kuang-Ming Kuo, Jing-Jia Lin, Chia-Jung Chen & Mei-Chuan Lee. (2023) Implementation of a patient-centered mobile shared decision making platform and healthcare workers’ evaluation: a case in a medical center. Informatics for Health and Social Care 48:1, pages 68-79.
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Articles from other publishers (14)

Mayidili Nijiati, Lin Guo, Abudoukeyoumujiang Abulizi, Shiyu Fan, Abulikemu Wubuli, Abudouresuli Tuersun, Pahatijiang Nijiati, Li Xia, Kunlei Hong & Xiaoguang Zou. (2023) Deep learning and radiomics of longitudinal CT scans for early prediction of tuberculosis treatment outcomes. European Journal of Radiology 169, pages 111180.
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Mayidili Nijiati, Lin Guo, Abudouresuli Tuersun, Maihemitijiang Damola, Abudoukeyoumujiang Abulizi, Jiake Dong, Li Xia, Kunlei Hong & Xiaoguang Zou. (2023) Deep learning on longitudinal CT scans: automated prediction of treatment outcomes in hospitalized tuberculosis patients. iScience 26:11, pages 108326.
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Edgar Cambaza. (2023) The Role of FinTech in Sustainable Healthcare Development in Sub-Saharan Africa: A Narrative Review. FinTech 2:3, pages 444-460.
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Haron W. Gichuhi, Mark Magumba, Manish Kumar & Roy William Mayega. (2023) A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district. PLOS Global Public Health 3:7, pages e0001466.
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Wenjie Huang, Dongquan Huang, Yeran Ding, Cheng Yu, Lei Wang, Ning Lv, Jiuxin Qu & Hongzhou Lu. (2023) Clinical application of intelligent technologies and integration in medical laboratories. iLABMED 1:1, pages 82-91.
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Kuang-Ming Liao, Chung-Feng Liu, Chia-Jung Chen, Jia-Yih Feng, Chin-Chung Shu & Yu-Shan Ma. (2023) Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis. Diagnostics 13:6, pages 1075.
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Ali Davod Parsa, Saira Hakkim, Divya Vinnakota, Ilias Mahmud, Smruti Bulsari, Leila Dehghani, Amal-Thomas Pulikkottil, Madhini Sivasubramanian & Russell Kabir. 2023. Artificial Intelligence in Medical Virology. Artificial Intelligence in Medical Virology 1 21 .
Md. Imtiaz Ahmed, Rezoana Akter & Fatima Shefaq. 2023. Proceedings of Emerging Trends and Technologies on Intelligent Systems. Proceedings of Emerging Trends and Technologies on Intelligent Systems 53 67 .
Yi Huang, Lin Ai, Xiaochen Wang, Ziyong Sun & Feng Wang. (2022) Review and Updates on the Diagnosis of Tuberculosis. Journal of Clinical Medicine 11:19, pages 5826.
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Shabana Urooj, S. Suchitra, Lalitha Krishnasamy, Neelam Sharma & Nitish Pathak. (2022) Stochastic Learning-Based Artificial Neural Network Model for an Automatic Tuberculosis Detection System Using Chest X-Ray Images. IEEE Access 10, pages 103632-103643.
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Maicon Herverton Lino Ferreira da Silva Barros, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, Elisson da Silva Rocha, João Fausto Lorenzato de Oliveira, Theo Lynn, Vanderson Sampaio & Patricia Takako Endo. (2021) Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis. Informatics 8:2, pages 27.
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Lauren S. Peetluk, Felipe M. Ridolfi, Peter F. Rebeiro, Dandan Liu, Valeria C Rolla & Timothy R. Sterling. (2021) Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults. BMJ Open 11:3, pages e044687.
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Mary Anne Schultz, Rachel Lane Walden, Kenrick Cato, Cynthia Peltier Coviak, Christopher Cruz, Fabio D'Agostino, Brian J. Douthit, Thompson Forbes, Grace Gao, Mikyoung Angela Lee, Deborah Lekan, Ann Wieben & Alvin D. Jeffery. (2021) Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes. CIN: Computers, Informatics, Nursing 39:11, pages 654-667.
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Nina Schwalbe & Brian Wahl. (2020) Artificial intelligence and the future of global health. The Lancet 395:10236, pages 1579-1586.
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