Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review
Background and purpose The objective of our systematic review is to identify prognostic
factors that may be used in decision-making related to the care of patients infected with …
factors that may be used in decision-making related to the care of patients infected with …
Predictors of COVID-19 severity: a systematic review and meta-analysis
M Mudatsir, JK Fajar, L Wulandari… - …, 2021 - pmc.ncbi.nlm.nih.gov
Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-
19) may be attributed to the low precision of the tools used to predict the prognosis of this …
19) may be attributed to the low precision of the tools used to predict the prognosis of this …
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C …
Objective To develop and validate a pragmatic risk score to predict mortality in patients
admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective …
admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective …
Prediction model and risk scores of ICU admission and mortality in COVID-19
This study aimed to develop risk scores based on clinical characteristics at presentation to
predict intensive care unit (ICU) admission and mortality in COVID-19 patients. 641 …
predict intensive care unit (ICU) admission and mortality in COVID-19 patients. 641 …
[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …
and manage the virus, and hopefully curb it completely. One important line of research is the …
Biomaterials for tissue engineering applications and current updates in the field: a comprehensive review
Tissue engineering has emerged as an interesting field nowadays; it focuses on
accelerating the auto-healing mechanism of tissues rather than organ transplantation. It …
accelerating the auto-healing mechanism of tissues rather than organ transplantation. It …
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
C An, H Lim, DW Kim, JH Chang, YJ Choi, SW Kim - Scientific reports, 2020 - nature.com
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which
necessitates accurate prognosis prediction to triage patients effectively. This study used the …
necessitates accurate prognosis prediction to triage patients effectively. This study used the …
Developing a COVID-19 mortality risk prediction model when individual-level data are not available
At the COVID-19 pandemic onset, when individual-level data of COVID-19 patients were not
yet available, there was already a need for risk predictors to support prevention and …
yet available, there was already a need for risk predictors to support prevention and …
Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
[HTML][HTML] Prognostic assessment of COVID-19 in the intensive care unit by machine learning methods: model development and validation
P Pan, Y Li, Y Xiao, B Han, L Su, M Su, Y Li… - Journal of medical …, 2020 - jmir.org
Background Patients with COVID-19 in the intensive care unit (ICU) have a high mortality
rate, and methods to assess patients' prognosis early and administer precise treatment are …
rate, and methods to assess patients' prognosis early and administer precise treatment are …