Comparing machine learning algorithms for predicting COVID-19 mortality
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions
Artificial intelligence, computational simulations, and extended reality, among other 21st
century computational technologies, are changing the health care system. To collectively …
century computational technologies, are changing the health care system. To collectively …
Machine learning and artificial intelligence in research and healthcare
Artificial intelligence (AI) is a broad term referring to the application of computational
algorithms that can analyze large data sets to classify, predict, or gain useful conclusions …
algorithms that can analyze large data sets to classify, predict, or gain useful conclusions …
Contemporary applications of machine learning for device therapy in heart failure
Despite a better understanding of the underlying pathogenesis of heart failure (HF),
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …
[HTML][HTML] A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method
ZA Varzaneh, A Orooji, L Erfannia… - Informatics in medicine …, 2022 - Elsevier
Background Predicting severe respiratory failure due to COVID-19 can help triage patients
to higher levels of care, resource allocation and decrease morbidity and mortality. The need …
to higher levels of care, resource allocation and decrease morbidity and mortality. The need …
[PDF][PDF] 医学影像人工智能在心脏瓣膜疾病介入诊疗中的应用
谢明星 - 临床心血管病杂志, 2022 - lcxxgen.whuhzzs.com
医学影像人工智能技术的研究与进展, 将极大促进现代心脏瓣膜病介入诊疗的进步. 超声心动图,
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …
[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients
M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
Artificial intelligence in cardiovascular medicine
Artificial intelligence demonstrates the ability to learn through assimilation of large datasets
to unravel complex relationships, discover prior unfound pathophysiological states and …
to unravel complex relationships, discover prior unfound pathophysiological states and …
[HTML][HTML] Artificial intelligence and transcatheter interventions for structural heart disease: a glance at the (near) future
JM Ribeiro, P Astudillo, O de Backer, R Budde… - Trends in cardiovascular …, 2022 - Elsevier
With innovations in therapeutic technologies and changes in population demographics,
transcatheter interventions for structural heart disease have become the preferred treatment …
transcatheter interventions for structural heart disease have become the preferred treatment …
[HTML][HTML] Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease
B Jaltotage, J Lu, G Dwivedi - Canadian Journal of Cardiology, 2024 - Elsevier
The rising prevalence of cardiovascular disease presents an escalating challenge for
current health services, which are grappling with increasing demands. Innovative changes …
current health services, which are grappling with increasing demands. Innovative changes …