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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)
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Last data update: Apr 19, 2024
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Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.
Dong-Her Shih et al. J Clin Med 2024 13(7)
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Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting.
Seung-Eun Lee et al. Lung 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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A smartphone-based application for cough counting in patients with acute asthma exacerbation.
Ji-Su Shim et al. J Thorac Dis 2023 15(7) 4053-4065
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A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.
Engin Melekoglu et al. PeerJ Comput Sci 2023 8e1188
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Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.
Parastoo Amiri et al. Digit Health 2023 920552076231170493
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Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients.
Francisco J Núñez-Benjumea et al. Clin Transl Radiat Oncol 2023 41100640
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Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
Roneel V Sharan et al. Int J Med Inform 2023 176105093
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Prediction of persistent chronic cough in patients with chronic cough using machine learning.
Wansu Chen et al. ERJ open research 2023 9(2)
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Development and validation of a respiratory-responsive vocal biomarker-based tool for generalizable detection of respiratory impairment: independent case-control studies in multiple respiratory conditions including asthma, chronic obstructive pulmonary disease, and COVID-19.
Savneet Kaur et al. Journal of medical Internet research 2023
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Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data.
Wang Xuchun et al. Computer methods and programs in biomedicine 2023 230107340
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Developing and Validating Clinical Features-Based Machine Learning Algorithms to Predict Influenza Infection in Influenza-like Illness Patients.
Hung Shang-Kai et al. Biomedical journal 2022
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Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants.
Yaeger Jeffrey P et al. Journal of hospital medicine 2022
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Predicting the Need for Intubation among COVID-19 Patients Using Machine Learning Algorithms: A Single-Center Study.
Nopour Raoof et al. Medical journal of the Islamic Republic of Iran 2022 3630
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An intelligent prediagnosis system for disease prediction and examination recommendation based on electronic medical record and a medical-semantic-aware convolution neural network (MSCNN) for pediatric chronic cough.
Zhu Zhu et al. Translational pediatrics 2022 11(7) 1216-1233
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Making cough count in tuberculosis care
AJ Zimmer et al, Comm Medicine, July 6, 2022
Clinical Analysis of Primary Tracheobronchial Tumors in Children and Evaluation of the Predicting Models for Mucoepidermoid Carcinoma.
Zhang Chen et al. Current medical science 2022
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Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.
Chowdhury Nihad Karim et al. Computers in biology and medicine 2022 145105405
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Effect Evaluation of Artificial Intelligence-Based Electronic Health PDCA Nursing Model in the Treatment of Mycoplasma Pneumonia in Children.
Zhao Yan et al. Journal of healthcare engineering 2022 20221956944
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Bias and privacy in AI's cough-based COVID-19 recognition
HB Espinoza et al, Lancet Digital Health, December 2021
A Systematic Review of Clinical Prediction Rules for the Diagnosis of Influenza.
Ebell Mark H et al. Journal of the American Board of Family Medicine : JABFM 2021 34(6) 1123-1140
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A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record.
Ningrum Dina Nur Anggraini et al. Journal of multidisciplinary healthcare 2021 142477-2485
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Identifying acute exacerbations of chronic obstructive pulmonary disease using patient-reported symptoms and cough feature analysis
S Claxton et al, NPJ Digital Medicine, July 2, 2021
Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.
Yousef Malik et al. Journal of integrative bioinformatics 2021
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Ruling In and Ruling Out COVID-19: Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging and Test Data.
D'Ambrosia Christopher et al. Journal of medical Internet research 2020 Nov
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COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
M Pahar et al, ARXIV, December 3, 2020
CLINICAL CHARACTERISTICS AND PROGNOSTIC FACTORS FOR ICU ADMISSION OF PATIENTS WITH COVID-19: A RETROSPECTIVE STUDY USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING.
Izquierdo Jose Luis et al. Journal of medical Internet research 2020 Oct
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Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
A Pal et al, ARXIV, October 6, 2020
Diagnosing Chronic Obstructive Airway Disease: a diagnostic accuracy study of a smartphone delivered algorithm combining patient-reported symptoms and cough analysis for use in acute care consultations.
P Porter et al, MEDRXIV, September 25, 2020
Analysis of clinical features and imaging signs of COVID-19 with the assistance of artificial intelligence.
Ren H-W et al. European review for medical and pharmacological sciences 2020 Aug 24(15) 8210-8218
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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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