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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 19, 2024
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Tuberculosis[original query]>>Original Studies[Product Type]
Explainable machine learning for early predicting treatment failure risk among patients with TB-diabetes comorbidity.
An-Zhou Peng et al. Sci Rep 2024 14(1) 6814
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Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis.
Awanti Sambarey et al. iScience 2024 27(2) 109025
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Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning.
Yi Gao et al. Front Public Health 2023 111247141
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High-Throughput Phenotypic Screening and Machine Learning Methods Enabled the Selection of Broad-Spectrum Low-Toxicity Antitrypanosomatidic Agents.
Pasquale Linciano et al. J Med Chem 2023
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Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms.
Chengqian Huang et al. Biomol Biomed 2023
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Comparison of logistic regression with regularized machine learning methods for the prediction of tuberculosis disease in people living with HIV: cross-sectional hospital- based study in Kisumu County, Kenya.
James Orwa et al. Res Sq 2023
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Deep Learning Classification of Tuberculosis Chest X-rays.
Kartik K Goswami et al. Cureus 2023 15(7) e41583
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Diagnostic accuracy of three computer-aided detection systems for detecting pulmonary tuberculosis on chest radiography when used for screening: Analysis of an international, multicenter migrants screening study.
Sifrash Meseret Gelaw et al. PLOS Glob Public Health 2023 3(7) e0000402
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A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district.
Haron W Gichuhi et al. PLOS Glob Public Health 2023 3(7) e0001466
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Chest Radiography of Tuberculosis: Determination of Activity using Deep Learning Algorithm.
Ye Ra Choi et al. Tuberc Respir Dis (Seoul) 2023
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A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy system.
Prashant Gupta et al. J Investig Med 2023 10815589231171402
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Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.
Na Tang et al. International journal of environmental research and public health 2023 20(5)
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Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification.
Ieun Yoon et al. Quantitative imaging in medicine and surgery 2023 13(2) 747-762
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Identification of Active Pulmonary Tuberculosis Among Patients With Positive Interferon-Gamma Release Assay Results: Value of a Deep Learning-based Computer-aided Detection System in Different Scenarios of Implementation.
Jongsoo Park et al. Journal of thoracic imaging 2023
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Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
Kim Cherry et al. European radiology 2023
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Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosis.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 91086047
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Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam.
Kim Kwanghyun et al. Frontiers in public health 2022 101023098
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Combined electronic medical records and gene polymorphism characteristics to establish an anti-tuberculosis drug-induced hepatic injury (ATDH) prediction model and evaluate the prediction value.
Zhang Jingwei et al. Annals of translational medicine 2022 10(20) 1114
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Evaluation of an AI-Based TB AFB Smear Screening System for Laboratory Diagnosis on Routine Practice.
Fu Hsiao-Ting et al. Sensors (Basel, Switzerland) 2022 22(21)
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Effect of Physical Activity Program on the Quality of Life of Children with Cystic Fibrosis at School Age: A Randomized Clinical Trail.
Hakim Ashrafalsadat et al. Tanaffos 2022 21(1) 63-69
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Meta-Analysis and Data Mining-Based Study on the Expression Characteristics of Inflammatory Factors and Causes of Recurrence in Spinal Tuberculosis.
Wang Jun et al. Computational and mathematical methods in medicine 2022 20228246510
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Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
Visuña Lara et al. BMC medical imaging 2022 22(1) 178
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Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods.
You Shiying et al. PLOS digital health 2022 1(6)
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Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum.
Ullah Ubaid et al. Tuberculosis (Edinburgh, Scotland) 2022 136102251
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The Application of Artificial Intelligence in the Diagnosis and Drug Resistance Prediction of Pulmonary Tuberculosis.
Liang Shufan et al. Frontiers in medicine 2022 9935080
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Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters.
Althomsons Sandy P et al. American journal of epidemiology 2022
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Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.
Li Li et al. Frontiers in public health 2022 10881234
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Diagnostic accuracy of a commercially-available, deep learning-based chest-Xray interpretation software for detecting culture-confirmed pulmonary tuberculosis.
Tavaziva Gamuchirai et al. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 2022
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Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi Minjuan et al. PLoS neglected tropical diseases 2022 16(5) e0010388
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Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 9874475
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 19, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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