Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
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 …

Predicting disease severity and outcome in COVID-19 patients: a review of multiple biomarkers

Y Tjendra, AF Al Mana, AP Espejo… - … of pathology & …, 2020 - meridian.allenpress.com
Context.—An abundance of clinical reports focused on specific laboratory parameters have
been reported on coronavirus disease 19 (COVID-19), but a systematic analysis …

Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study

RK Gupta, M Marks, THA Samuels… - European …, 2020 - Eur Respiratory Soc
The number of proposed prognostic models for coronavirus disease 2019 (COVID-19) is
growing rapidly, but it is unknown whether any are suitable for widespread clinical …

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 …

Multi-domain clinical natural language processing with MedCAT: the medical concept annotation toolkit

Z Kraljevic, T Searle, A Shek, L Roguski, K Noor… - Artificial intelligence in …, 2021 - Elsevier
Electronic health records (EHR) contain large volumes of unstructured text, requiring the
application of information extraction (IE) technologies to enable clinical analysis. We present …

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 …

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 …

[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 …

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022

H Wu, M Wang, J Wu, F Francis, YH Chang… - NPJ digital …, 2022 - nature.com
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 …

[HTML][HTML] A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

AI Paganelli, PE Velmovitsky, P Miranda, A Branco… - Internet of Things, 2022 - Elsevier
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 …