[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 …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Obstructive sleep apnea (OSA) and outcomes from coronavirus disease 2019 (COVID-19) pneumonia: a systematic review and meta-analysis
TI Hariyanto, A Kurniawan - Sleep medicine, 2021 - Elsevier
Background Obstructive sleep apnea (OSA) is the most prevalent sleep-related breathing
disorder which could impair someone's quality of life and is also associated with poor …
disorder which could impair someone's quality of life and is also associated with poor …
Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We
hypothesized that machine learning (ML) models could be used to predict risks at different …
hypothesized that machine learning (ML) models could be used to predict risks at different …
Evidence of gender differences in the diagnosis and management of coronavirus disease 2019 patients: an analysis of electronic health records using natural …
J Ancochea, JL Izquierdo… - Journal of Women's …, 2021 - liebertpub.com
Background: The impact of sex and gender in the incidence and severity of coronavirus
disease 2019 (COVID-19) remains controversial. Here, we aim to describe the …
disease 2019 (COVID-19) remains controversial. Here, we aim to describe the …
Use of N-Acetylcysteine at high doses as an oral treatment for patients hospitalized with COVID-19
JL Izquierdo, JB Soriano, Y González… - Science …, 2022 - journals.sagepub.com
Infection by SARS-CoV-2 causing coronavirus disease 2019 (COVID-19) can be associated
with serious and life-threatening conditions, including acute respiratory distress syndrome …
with serious and life-threatening conditions, including acute respiratory distress syndrome …
Global and regional prevalence and outcomes of COVID-19 in people living with HIV: a systematic review and meta-analysis
Background: The relationship between HIV (human immunodeficiency virus) and COVID-19
clinical outcome is uncertain, with conflicting data and hypotheses. We aimed to assess the …
clinical outcome is uncertain, with conflicting data and hypotheses. We aimed to assess the …
The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
[HTML][HTML] Artificial intelligence in clinical care amidst COVID-19 pandemic: a systematic review
The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in more than 3
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …