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Infection and Drug Resistance Volume 15, 2022 - Issue
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ORIGINAL RESEARCH

Development and Validation of a Nomogram for the Prediction of Unfavorable Treatment Outcome Among Multi-Drug Resistant Tuberculosis Patients in North West Ethiopia: An Application of Prediction Modelling

Denekew Tenaw Anley1 Department of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, EthiopiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5612-6943
ORCID Icon,
Temesgen Yihunie Akalu2 Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaORCID Iconhttps://orcid.org/0000-0002-0340-0443
ORCID Icon,
Mehari Woldemariam Merid2 Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
&
Tewodros Tsegaye3 Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaORCID Iconhttps://orcid.org/0000-0003-0705-0222
ORCID Icon
Pages 3887-3904 | Published online: 21 Jul 2022

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Jisong Yan, Hong Luo, Qi Nie, Shengling Hu, Qi Yu & Xianguang Wang. (2023) A Scoring System Based on Laboratory Parameters and Clinical Features to Predict Unfavorable Treatment Outcomes in Multidrug- and Rifampicin-Resistant Tuberculosis Patients. Infection and Drug Resistance 16, pages 225-237.
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Articles from other publishers (1)

Denekew Tenaw Anley, Temesgen Yihunie Akalu, Anteneh Mengist Dessie, Rahel Mulatie Anteneh, Melkamu Aderajew Zemene, Wubet Alebachew Bayih, Yenealem Solomon, Natnael Atnafu Gebeyehu, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie, Endeshaw Chekol Abebe, Mohammed Abdu Seid, Molalegn Mesele Gesese, Natnael Moges, Berihun Bantie, Sefineh Fenta Feleke, Tadesse Asmamaw Dejenie, Getachew Asmare Adella & Achenef Asmamaw Muche. (2023) Prognostication of treatment non-compliance among patients with multidrug-resistant tuberculosis in the course of their follow-up: a logistic regression–based machine learning algorithm. Frontiers in Digital Health 5.
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