[HTML][HTML] Decision support systems in healthcare: systematic review, meta-analysis and prediction, with example of COVID-19
HB Khalfallah, M Jelassi, J Demongeot… - AIMS …, 2023 - aimspress.com
We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
Clinical decision support system for quality of life among the elderly: an approach using artificial neural network
Background Due to advancements in medicine and the elderly population's growth with
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
Expanding access to veterinary clinical decision support in resource-limited settings: a scoping review of clinical decision support tools in medicine and antimicrobial …
H Yusuf, A Hillman, JA Stegeman… - Frontiers in Veterinary …, 2024 - frontiersin.org
Introduction Digital clinical decision support (CDS) tools are of growing importance in
supporting healthcare professionals in understanding complex clinical problems and …
supporting healthcare professionals in understanding complex clinical problems and …
Diagnostic accuracy of a set of clinical and radiological criteria for screening of COVID-19 using RT-PCR as the reference standard
MC Oliveira, KO Scharan, BI Thomés… - BMC Pulmonary …, 2023 - Springer
Background The gold-standard method for establishing a microbiological diagnosis of
COVID-19 is reverse-transcriptase polymerase chain reaction (RT-PCR). This study aimed …
COVID-19 is reverse-transcriptase polymerase chain reaction (RT-PCR). This study aimed …
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
E Chimbunde, LN Sigwadhi, JL Tamuzi… - Frontiers in Artificial …, 2023 - frontiersin.org
Background COVID-19 has strained healthcare resources, necessitating efficient
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …
Left ventricular hypertrophy detection using electrocardiographic signal
Left ventricular hypertrophy (LVH) indicates subclinical organ damage, associating with the
incidence of cardiovascular diseases. From the medical perspective, electrocardiogram …
incidence of cardiovascular diseases. From the medical perspective, electrocardiogram …
COVID-19 infection inference with graph neural networks
Infectious diseases spread rapidly, and epidemiological surveys are vital to detect high-risk
transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on …
transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on …
Authentication of Covid-19 vaccines using synchronous fluorescence spectroscopy
The present study demonstrates the potential of synchronous fluorescence spectroscopy
and multivariate data analysis for authentication of COVID-19 vaccines from various …
and multivariate data analysis for authentication of COVID-19 vaccines from various …
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
Background With the global spread of COVID-19, the world has seen many patients,
including many severe cases. The rapid development of machine learning (ML) has made …
including many severe cases. The rapid development of machine learning (ML) has made …
An automatic multi-class lung disease classification using deep learning based bidirectional long short term memory with spiking neural network
P Kakarla, C Vimala, S Hemachandra - Multimedia Tools and Applications, 2024 - Springer
Lung disease (LD) is a dreadful disease that affects numerous people in various ways;
hence, it is considered the foremost reason for death around the globe. To reduce LDs …
hence, it is considered the foremost reason for death around the globe. To reduce LDs …