Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using …
Background Predicting outcomes of patients with COVID-19 at an early stage is crucial for
optimised clinical care and resource management, especially during a pandemic. Although …
optimised clinical care and resource management, especially during a pandemic. Although …
[HTML][HTML] AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Recent epidemiological data report that worldwide more than 53 million people have been
infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading …
infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading …
COVID-19: Short term prediction model using daily incidence data
Background Prediction of the dynamics of new SARS-CoV-2 infections during the current
COVID-19 pandemic is critical for public health planning of efficient health care allocation …
COVID-19 pandemic is critical for public health planning of efficient health care allocation …
[HTML][HTML] ABC2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores
Objectives The majority of available scores to assess mortality risk of coronavirus disease
2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore …
2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore …
Patient similarity analytics for explainable clinical risk prediction
Background Clinical risk prediction models (CRPMs) use patient characteristics to estimate
the probability of having or developing a particular disease and/or outcome. While CRPMs …
the probability of having or developing a particular disease and/or outcome. While CRPMs …
[HTML][HTML] Disease-course adapting machine learning prognostication models in elderly patients critically ill with COVID-19: multicenter cohort study with external …
C Jung, B Mamandipoor, J Fjølner… - JMIR medical …, 2022 - medinform.jmir.org
Background The COVID-19 pandemic caused by SARS-CoV-2 is challenging health care
systems globally. The disease disproportionately affects the elderly population, both in terms …
systems globally. The disease disproportionately affects the elderly population, both in terms …
Development and Validation of a Multivariable Predictive Model for Mortality of COVID‐19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score
M Zdravkovic, V Popadic, S Klasnja… - Oxidative Medicine …, 2021 - Wiley Online Library
Introduction. Risk stratification is an important aspect of COVID‐19 management, especially
in patients admitted to ICU as it can provide more useful consumption of health resources …
in patients admitted to ICU as it can provide more useful consumption of health resources …
Early outcome detection for COVID-19 patients
With the outbreak of COVID-19 exerting a strong pressure on hospitals and health facilities,
clinical decision support systems based on predictive models can help to effectively improve …
clinical decision support systems based on predictive models can help to effectively improve …
[HTML][HTML] Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction
S Ilbeigipour, A Albadvi - Informatics in Medicine Unlocked, 2022 - Elsevier
The world today faces a new challenge that is unprecedented in the last 100 years. The
emergence of a new coronavirus has led to a human catastrophe. Scientists in various …
emergence of a new coronavirus has led to a human catastrophe. Scientists in various …
[HTML][HTML] A digital screening system for Alzheimer disease based on a neuropsychological test and a convolutional neural network: system development and validation
WT Cheah, JJ Hwang, SY Hong, LC Fu… - JMIR Medical …, 2022 - medinform.jmir.org
Background: Alzheimer disease (AD) and other types of dementia are now considered one
of the world's most pressing health problems for aging people worldwide. It was the seventh …
of the world's most pressing health problems for aging people worldwide. It was the seventh …