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 …
Predicting disease severity and outcome in COVID-19 patients: a review of multiple biomarkers
Context.—An abundance of clinical reports focused on specific laboratory parameters have
been reported on coronavirus disease 19 (COVID-19), but a systematic analysis …
been reported on coronavirus disease 19 (COVID-19), but a systematic analysis …
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …
stored in free-text format. Natural language processing (NLP) has been used to extract …
Multi-domain clinical natural language processing with MedCAT: the medical concept annotation toolkit
Electronic health records (EHR) contain large volumes of unstructured text, requiring the
application of information extraction (IE) technologies to enable clinical analysis. We present …
application of information extraction (IE) technologies to enable clinical analysis. We present …
Potential long-term effects of SARS-CoV-2 infection on the pulmonary vasculature: a global perspective
S Halawa, SS Pullamsetti, CRM Bangham… - Nature Reviews …, 2022 - nature.com
The lungs are the primary target of severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) infection, with severe hypoxia being the cause of death in the most critical cases …
CoV-2) infection, with severe hypoxia being the cause of death in the most critical cases …
Characterization of NT‐proBNP in a large cohort of COVID‐19 patients
J Caro‐Codón, JR Rey, A Buño… - European journal of …, 2021 - Wiley Online Library
Aims Extensive research regarding the association of troponin and prognosis in coronavirus
disease 2019 (COVID‐19) has been performed. However, data regarding natriuretic …
disease 2019 (COVID‐19) has been performed. However, data regarding natriuretic …
[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 **ao, 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 …
[HTML][HTML] Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying
predictors of disease severity is a priority. We collect 58 clinical and biological variables, and …
predictors of disease severity is a priority. We collect 58 clinical and biological variables, and …
[HTML][HTML] A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home
Due to the COVID-19 pandemic, health services around the globe are struggling. An
effective system for monitoring patients can improve healthcare delivery by avoiding in …
effective system for monitoring patients can improve healthcare delivery by avoiding in …
Chest radiograph scoring alone or combined with other risk scores for predicting outcomes in COVID-19
I Au-Yong, Y Higashi, E Giannotti, A Fogarty… - Radiology, 2022 - pubs.rsna.org
Background Radiographic severity may help predict patient deterioration and outcomes from
COVID-19 pneumonia. Purpose To assess the reliability and reproducibility of three chest …
COVID-19 pneumonia. Purpose To assess the reliability and reproducibility of three chest …