Role of Hypertension on the Severity of COVID-19: A Review

M Peng, J He, Y Xue, X Yang, S Liu… - Journal of …, 2021 - journals.lww.com
The novel coronavirus disease (COVID-19) caused by the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) has rapidly evolved into a global pandemic. The …

Conventional and novel diagnostic tools for the diagnosis of emerging SARS-CoV-2 variants

VP Chavda, DD Valu, PK Parikh, N Tiwari, AS Chhipa… - Vaccines, 2023 - mdpi.com
Accurate identification at an early stage of infection is critical for effective care of any
infectious disease. The “coronavirus disease 2019 (COVID-19)” outbreak, caused by the …

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic

S Balasubramanian, V Shukla, N Islam… - … Journal of Production …, 2023 - Taylor & Francis
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …

[HTML][HTML] Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews

A Martinez-Millana, A Saez-Saez… - International Journal of …, 2022 - Elsevier
Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …

[HTML][HTML] Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare

G Kleinberg, MJ Diaz, S Batchu… - Journal of biomed …, 2022 - ncbi.nlm.nih.gov
Objective: Clinical applications of machine learning are promising as a tool to improve
patient outcomes through assisting diagnoses, treatment, and analyzing risk factors for …

[HTML][HTML] Long short-term memory–based prediction of the spread of influenza-like illness leveraging surveillance, weather, and twitter data: Model development and …

M Athanasiou, G Fragkozidis, K Zarkogianni… - Journal of Medical …, 2023 - jmir.org
Background The potential to harness the plurality of available data in real time along with
advanced data analytics for the accurate prediction of influenza-like illness (ILI) outbreaks …

[HTML][HTML] Machine learning model for predicting the length of stay in the intensive care unit for COVID-19 patients in the eastern province of Saudi Arabia

DA Alabbad, AM Almuhaideb, SJ Alsunaidi… - Informatics in medicine …, 2022 - Elsevier
The COVID-19 virus has spread rapidally throughout the world. Managing resources is one
of the biggest challenges that healthcare providers around the world face during the …

Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting

MU Tariq, SB Ismail, M Babar, A Ahmad - PloS one, 2023 - journals.plos.org
The pandemic has significantly affected many countries including the USA, UK, Asia, the
Middle East and Africa region, and many other countries. Similarly, it has substantially …

[HTML][HTML] Uncovering clinical risk factors and predicting severe COVID-19 cases using UK biobank data: machine learning approach

KCY Wong, Y Xiang, L Yin… - JMIR public health and …, 2021 - publichealth.jmir.org
Background: COVID-19 is a major public health concern. Given the extent of the pandemic, it
is urgent to identify risk factors associated with disease severity. More accurate prediction of …

Predictive model for mortality in severe COVID-19 patients across the six pandemic waves

N Casillas, A Ramón, AM Torres, P Blasco, J Mateo - Viruses, 2023 - mdpi.com
The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …