Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
[HTML][HTML] Smoking on the risk of acute respiratory distress syndrome: a systematic review and meta-analysis
L Zhang, J Xu, Y Li, F Meng, W Wang - Critical Care, 2024 - Springer
Background The relationship between smoking and the risk of acute respiratory distress
syndrome (ARDS) has been recognized, but the conclusions have been inconsistent. This …
syndrome (ARDS) has been recognized, but the conclusions have been inconsistent. This …
[HTML][HTML] Predicting the next-day perceived and physiological stress of pregnant women by using machine learning and explainability: algorithm development and …
Background Cognitive behavioral therapy–based interventions are effective in reducing
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
[HTML][HTML] Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)
The number of papers presenting machine learning (ML) models that are being submitted to
and published in the Journal of Medical Internet Research and other JMIR Publications …
and published in the Journal of Medical Internet Research and other JMIR Publications …
[HTML][HTML] Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study
Background Unlike well-established diseases that base clinical care on randomized trials,
past experiences, and training, prognosis in COVID19 relies on a weaker foundation …
past experiences, and training, prognosis in COVID19 relies on a weaker foundation …
[HTML][HTML] A deep learning model for predicting COVID-19 ARDS in critically ill patients
Background The coronavirus disease 2019 (COVID-19) is an acute infectious pneumonia
caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection …
caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection …
[HTML][HTML] Clinicodemographic profile, intensive care unit utilization and mortality rate among COVID-19 patients admitted during the second wave in Bangladesh
S Parvin, MS Islam, TK Majumdar, F Ahmed - IJID regions, 2022 - Elsevier
Introduction The second wave of COVID-19 arrived in Bangladesh in March 2021. This pilot
research from a tertiary care COVID-dedicated hospital observed the clinicodemographic …
research from a tertiary care COVID-dedicated hospital observed the clinicodemographic …
Predicting the prognosis of patients with mild COVID-19 by chest CT based on machine learning
B Ji, L Kong, J Wang, C Liu, K Yuan, L Zhu… - Chinese Journal of …, 2024 - Springer
Background Chest computed tomography (CT) is of great significance for the preliminary
diagnosis and disease evolution assessment of coronavirus disease 2019 (COVID-19). The …
diagnosis and disease evolution assessment of coronavirus disease 2019 (COVID-19). The …
OPEN ACCESS EDITED BY
X Zhang, Z Liu, E Soule, W Fan, L Shen… - … of Cancer: Novel …, 2024 - books.google.com
A large amount of evidence from literature has manifested that tumor cells can effectively
avoid being recognized and killed by the immune system through immune checkpoint …
avoid being recognized and killed by the immune system through immune checkpoint …
Una revisión sistemática de las pandemias de transmisión respiratoria a lo largo de la historia. Comparación entre la gripe de 1918 y la COVID-19
M Moneo Mínguez - 2022 - uvadoc.uva.es
Las epidemias nos han acompañado a lo largo de la historia y frecuentemente son
causadas por patógenos zoonóticos capaces de transmitirse entre los humanos. En época …
causadas por patógenos zoonóticos capaces de transmitirse entre los humanos. En época …