Machine learning-based mortality prediction models for smoker COVID-19 patients

A Sharifi-Kia, A Nahvijou, A Sheikhtaheri - BMC Medical Informatics and …, 2023 - Springer
Background The large number of SARS-Cov-2 cases during the COVID-19 global pandemic
has burdened healthcare systems and created a shortage of resources and services. In …

[HTML][HTML] Impact of the COVID-19 Pandemic on Esophagogastroduodenoscopy and Gastric Cancer Claims in South Korea: A Nationwide, Population-Based Study

MA Suh, SB Park, MS Kwak, JY Yoon… - Yonsei Medical …, 2023 - ncbi.nlm.nih.gov
Purpose There has been little information about the impact of coronavirus disease 2019
(COVID-19) pandemic on esophagogastroduodenoscopy (EGD) and gastric cancer claims …

[HTML][HTML] The elderly population are more vulnerable for the management of colorectal cancer during the COVID-19 pandemic: a nationwide, population-based study

HS Kang, SH Jeon, SB Park, JY Youn… - Intestinal …, 2023 - synapse.koreamed.org
Methods The numbers of patients who underwent colonoscopy, who visited hospitals or
operated for CRC in 2020 and 2021 (COVID-19 era) were compared with those in 2019 …

Adaptive Stacking Ensemble Techniques for Early Severity Classification of COVID-19 Patients

GW Kim, CY Ju, H Seok, DH Lee - Applied Sciences, 2024 - mdpi.com
During outbreaks of infectious diseases, such as COVID-19, it is critical to rapidly determine
treatment priorities and identify patients requiring hospitalization based on clinical severity …

Possible Factors Related to Mortality of Pregnant Women with COVID-19: A Machine Learning Approach

TTT Tran, HP Tran, SNT Vu, TTN Tran… - Fertility & …, 2023 - World Scientific
Background: The COVID-19 pandemic has affected people of all ages and backgrounds, but
pregnant women are a particularly vulnerable group. They are at increased risk of severe …

[HTML][HTML] Impact of COVID-19 Pandemic on Performance of Gastrointestinal Endoscopy

YK Kim, SB Park, M Lee, JY Youn… - The Korean Journal …, 2023 - synapse.koreamed.org
Methods This nationwide, population-based study compared the claim data of EGD,
colonoscopy, ERCP, and abdominal US in 2020 and 2021 (COVID-19 era) with those in …

A Review on Disease Prediction Approach using Data Analytics and Machine Learning Algorithms

E Anitha, A Antonidoss - 2023 Second International …, 2023 - ieeexplore.ieee.org
Presently, the medical industry is facing a serious issue. Machine Learning (ML) is emerging
as a solution to analyze large datasets and develop predictive modeling or pattern …