Discovering symptom patterns of COVID-19 patients using association rule mining-Reference-Cited by-同舟云学术

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Discovering symptom patterns of COVID-19 patients using association rule mining

Published:2021-04 Issue: Volume:131 Page:104249
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Tandan Meera^ORCID,Acharya Yogesh^ORCID,Pokharel Suresh,Timilsina Mohan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference109 articles.

1. Coronavirus Disease (COVID-19) Pandemic;WHO,2020

2. COVID-19 Coronavirus Pandemic Reported Cases and Deaths by Country, Territory, or Conveyance;Worldometer,2020

3. Dexamethasone in hospitalized patients with covid-19-preliminary report;N. Engl. J. Med.,2020

4. Solidarity" Clinical Trial for COVID-19 Treatment;WHO,2020

5. Compassionate use of remdesivir for patients with severe covid-19;Grein;N. Engl. J. Med.,2020

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1. Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?;Computer Methods and Programs in Biomedicine;2024-10

2. Using Association Rules to Obtain Sets of Prevalent Symptoms throughout the COVID-19 Pandemic: An Analysis of Similarities between Cases of COVID-19 and Unspecified SARS in São Paulo-Brazil;International Journal of Environmental Research and Public Health;2024-09-01

3. Identifying diseases symptoms and general rules using supervised and unsupervised machine learning;Scientific Reports;2024-08-02

4. Hierarchical and two-step clustering to assess symptoms of sick building syndrome in office spaces in an educational building;Architectural Engineering and Design Management;2024-07-03

5. Temporal Association Rule Mining: Race-Based Patterns of Treatment-Adverse Events in Breast Cancer Patients Using SEER–Medicare Dataset;Biomedicines;2024-05-29

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