JMIR Medical Informatics – Page 4 – Communicable Diseases Research

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Review

Published on 2021-01-112022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

[키워드] analyses applied article artificial artificial intelligence assist Care caused CINAHL complex Complication coronavirus COVID-19 COVID-19 crisis COVID-19 outbreak COVID-19 pandemic database deep learning detect detection Diagnosis Disease progression Epidemiology Health highlight Hospital stay identify intelligence intensive care item Laboratory machine learning Mortality Neural network Novel coronavirus objective organization outcome pandemic Patient patients with COVID-19 presenting problems radiological Reporting Research resource responsible Result review role SARS-CoV-2 selected systematic review technique translational Treatment variables was performed Web of Science
[DOI] 10.2196/23811 PMC 바로가기 [Article Type] Review

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

Original Paper

Published on 2020-12-222022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

[키워드] addition affected application Blockchain Care Case report caused center Control country COVID-19 COVID-19 defense development disease transmission Diseases drug treatments effective effort facilitate global public health Health Health authority health care systems help HL7 FHIR hospital include Infectious disease Infectious disease surveillance information interface international collaboration interoperability Intervention labor-intensive laboratory data mechanisms medications new virus objective outcome pandemic Patient patient data patients with COVID-19 physician Physicians prevent disease spread prevention PROTECT provide receive recorded Research researcher respond Result reuse Spread Support Surveillance Symptoms System the disease Therapies this system transferred Transmission Treatment Trial utility virus was used
[DOI] 10.2196/20567 PMC 바로가기 [Article Type] Original Paper

Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach

Original Paper

Published on 2020-11-172022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Original Paper

Published on 2020-11-102022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

[키워드] 2019-nCoV Analysis applicability applied approach association automated base clinical status Community computational method confidence score coronavirus coronavirus disease COVID-19 deep learning Dexamethasone disease Diseases drug drug side effects drugs effective effective drug Effectiveness effort entity Evidence Genes help highlight human genes human miRNAs Hydroxychloroquine IMPROVE information Interaction Ivermectin labeling lower mortality novel objective patients hospitalized pharmacological treatment platform Potential Preparing public health Remdesivir Research resources Result resulting SARS SARS-CoV-2 Scientific community similarity statin statins Therapeutic treatment Treatment Vaccine with COVID-19
[DOI] 10.2196/21648 PMC 바로가기 [Article Type] Original Paper

Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study

Original Paper

Published on 2020-10-152022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

[키워드] Accuracy Admission age average Blood caused China Classifier Cohort composed coronavirus country COVID-19 COVID-19 infection demographics demonstrated develop died disease drastic help high accuracy High-sensitivity C-reactive protein hospital Hospital stay hospitalized patient hospitals indicated Infection Laboratory laboratory data lactate dehydrogenase Logistic regression lymphocyte machine machine learning measure men Metrics Model Mortality multicenter novel coronavirus SARS-CoV-2 objective outcome Patient patients patients who survived patients with COVID-19 performed predict predicted Predictive modeling Previous studies progression Randomly resource Result Retrospective study risk SARS-CoV-2 Severity of infection significantly lower Spread study cohort Support support vector machine the disease the mean validation cohort validation cohorts variable with COVID-19 women Wuhan Wuhan, China
[DOI] 10.2196/21788 PMC 바로가기 [Article Type] Original Paper

Nomogram for Predicting COVID-19 Disease Progression Based on Single-Center Data: Observational Study and Model Development

Original Paper

Published on 2020-09-082022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

[키워드] 95% CI administer age Analysis analyzed applied caused CD4 CD8 characteristic clinical Clinical characteristics clinician collected confirmed COVID-19 case Coronavirus disease 2019 COVID-19 COVID-19 progression Cox regression analysis Critical development disease disease onset epidemiological evaluate help Hospitalized identify independent risk factor Infection infection with COVID-19 Intervention laboratory parameter Model Multivariate analysis multivariate Cox regression nomogram objective operator Patient patient with COVID-19 patients with COVID-19 patients with SARS-CoV-2 physician Pneumonia Predictive Prevent Probability progression regression analysis Renmin Hospital reported Result Retrospective study risk factor Risk factors SARS-CoV-2 screened Spread the disease treat university variable variables were used worsening Wuhan
[DOI] 10.2196/19588 PMC 바로가기 [Article Type] Original Paper

Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey

Original Paper

Published on 2020-08-252022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic

Viewpoint

Published on 2020-07-142022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

Original Paper

Published on 2020-06-082022-10-31
Journal: JMIR Medical Informatics [Category] COVID-19,

Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational Study

Original Paper

Published on 2020-05-052024-09-02
Journal: JMIR Medical Informatics [Category] 대상포진,

[키워드] electronic health report machine learning technique pediatric infectious disease text mining varicella zoster
[DOI] 10.2196/14330 PMC 바로가기 [Article Type] Original Paper