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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: Mar 28, 2024
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Pneumonia[original query]>>Original Studies[Product Type]
Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning.
Jose A Román Ivorra et al. RMD Open 2024 10(1)
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Online COVID-19 diagnosis prediction using complete blood count: an innovative tool for public health.
Xiaojing Teng et al. BMC Public Health 2023 23(1) 2536
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A clinical prediction model based on interpretable machine learning algorithms for prolonged hospital stay in acute ischemic stroke patients: a real-world study.
Kai Wang et al. Front Endocrinol (Lausanne) 2023 141165178
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VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning.
Ali Samadani et al. Artif Intell Med 2023 146102715
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Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.
Aki Miyazaki et al. Sci Rep 2023 13(1) 17533
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Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data.
Yaxu Zhuang et al. Ann Surg 2023
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Clinical Decision Support System to Detect the Occurrence of Ventilator-Associated Pneumonia in Pediatric Intensive Care.
Jerome Rambaud et al. Diagnostics (Basel) 2023 13(18)
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Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models.
Guanqi Lyu et al. PLoS One 2023 18(9) e0291711
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A machine learning diagnostic model for Pneumocystis jirovecii pneumonia in patients with severe pneumonia.
Xiaoqian Li et al. Intern Emerg Med 2023
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Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.
Fang Wang et al. Eur Radiol 2023
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Computed Tomography scanning in patients with COVID-19: artificial intelligence analysis of lesions volume and outcome.
Y-H Zuo et al. Eur Rev Med Pharmacol Sci 2023 27(12) 5869-5877
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Artificial Intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
Kajetan Grodecki et al. Br J Radiol 2023 20220180
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.
Johan N Siebert et al. BMC Pulm Med 2023 23(1) 191
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Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application.
Mirko Zoncapè et al. Intern Emerg Med 2023
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Triaging Patients With Artificial Intelligence for Respiratory Symptoms in Primary Care to Improve Patient Outcomes: A Retrospective Diagnostic Accuracy Study.
Steindór Ellertsson et al. Ann Fam Med 2023 21(3) 240-248
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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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Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.
Catherine A Gao et al. J Clin Invest 2023
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Patient and Epidemiological Factors Associated With Influenza Testing in Hospitalized Adults With Acute Respiratory Illnesses, 2016-2017 to 2019-2020.
Alexandra F Dalton et al. Open Forum Infect Dis 10(4) ofad162
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Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison with Subjective Assessment of Radiologists.
Seyedehnafiseh Mirniaharikandehei et al. Bioengineering (Basel, Switzerland) 2023 10(3)
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Comparative Analysis of Clinical and CT Findings in Patients with SARS-CoV-2 Original Strain, Delta and Omicron Variants.
Xiaoyu Han et al. Biomedicines 2023 11(3)
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Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier.
Kashif Shaheed et al. Healthcare (Basel, Switzerland) 2023 11(6)
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Evidence of a cognitive bias in the quantification of COVID-19 with CT: an artificial intelligence randomised clinical trial.
Bogdan A Bercean et al. Scientific reports 2023 13(1) 4887
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The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia.
Nancy Rixe et al. Frontiers in digital health 2023 51104604
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Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.
Jauk Stefanie et al. Dysphagia 2023 1-9
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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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Hospital Admission Decisions for Older Veterans with Community-onset Pneumonia: An Analysis of 118 U.S. Veterans Affairs Medical Centers.
Jones Barbara E et al. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine 2023
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Ultrasound image intelligent diagnosis in community-acquired pneumonia of children using convolutional neural network-based transfer learning.
Fang Xiaohui et al. Frontiers in pediatrics 2022 101063587
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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images.
Anai Satoshi et al. Canadian respiratory journal 2022 20228026580
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Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.
Colborn Kathryn L et al. Surgery 2022
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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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Page last reviewed:
Feb 1, 2024
Page last updated:
Mar 28, 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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