Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand
for effective diagnostic, prognostic and therapeutic procedures. Here, we employed …
for effective diagnostic, prognostic and therapeutic procedures. Here, we employed …
Speech as a Biomarker for COVID‐19 Detection Using Machine Learning
The use of speech as a biomedical signal for diagnosing COVID‐19 is investigated using
statistical analysis of speech spectral features and classification algorithms based on …
statistical analysis of speech spectral features and classification algorithms based on …
Significance of deep learning for Covid-19: state-of-the-art review
Purpose The appearance of the 2019 novel coronavirus (Covid-19), for which there is no
treatment or a vaccine, formed a sense of necessity for new drug discovery advances. The …
treatment or a vaccine, formed a sense of necessity for new drug discovery advances. The …
Novel nonlinear fractional order Parkinson's disease model for brain electrical activity rhythms: Intelligent adaptive Bayesian networks
In this study, a novel investigation in developing intelligent adaptive Bayesian networks
(IABN) is carried out to solve the fractional order Parkinson's disease model (FOPDM) …
(IABN) is carried out to solve the fractional order Parkinson's disease model (FOPDM) …
Data-driven methods to monitor, model, forecast and control covid-19 pandemic: Leveraging data science, epidemiology and control theory
This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
A hybridized machine learning approach for predicting COVID-19 using adaptive neuro-fuzzy inference system and reptile search algorithm
T Jithendra, S Sharief Basha - Diagnostics, 2023 - mdpi.com
This research is aimed to escalate Adaptive Neuro-Fuzzy Inference System (ANFIS)
functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 …
functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 …
Qing-Wen-Jie-Re mixture ameliorates poly (I: C)-induced viral pneumonia through regulating the inflammatory response and serum metabolism
Q Li, T Zhang, Y Wang, S Yang, J Luo, F Fang… - Frontiers in …, 2022 - frontiersin.org
Qing-Wen-Jie-Re mixture (QWJR) has been used in the treatment of the coronavirus
disease 2019 (COVID-19) in China. However, the protective mechanisms of QWJR on viral …
disease 2019 (COVID-19) in China. However, the protective mechanisms of QWJR on viral …
Applications of machine learning approaches to combat COVID-19: a survey
Abstract Machine learning (ML) and artificial intelligence (AI) approaches are prominent and
well established in the field of health-care informatics. Because they have a more productive …
well established in the field of health-care informatics. Because they have a more productive …
Multi-attention segmentation networks combined with the sobel operator for medical images
F Lu, C Tang, T Liu, Z Zhang, L Li - Sensors, 2023 - mdpi.com
Medical images are used as an important basis for diagnosing diseases, among which CT
images are seen as an important tool for diagnosing lung lesions. However, manual …
images are seen as an important tool for diagnosing lung lesions. However, manual …
[HTML][HTML] Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods
Forecasting the different types of emergency department (ED) demands (patient flows) in
hospital systems much aids ED managers in looking into various options to appropriately …
hospital systems much aids ED managers in looking into various options to appropriately …