Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Cyril Rakovski"'
Autor:
Jianwei Zheng, Islam Abudayyeh, Cyril Rakovski, Louis Ehwerhemuepha, Ahmad Rezaie Mianroodi, Jay N Patel, Alomari Ihab, Chizobam Ani
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Although prior research has estimated the overarching cost burden of heart failure (HF), a thorough analysis examining medical expense differences and trends, specifically among commercially insured patients with heart failure, is
Externí odkaz:
https://doaj.org/article/1a992dea72604831967479c4a46886c5
Autor:
Ehsan Yaghmaei, Hongxia Lu, Louis Ehwerhemuepha, Jianwei Zheng, Sidy Danioko, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Background Alzheimer’s disease (AD) is the most common neurodegenerative disease. Studying the effects of drug treatments on multiple health outcomes related to AD could be beneficial in demonstrating which drugs reduce the disease burden
Externí odkaz:
https://doaj.org/article/a5c6d56025ee4b5cae9c0d6eb84c47ff
Autor:
Guohua Fu, Jianwei Zheng, Islam Abudayyeh, Chizobam Ani, Cyril Rakovski, Louis Ehwerhemuepha, Hongxia Lu, Yongjuan Guo, Shenglin Liu, Huimin Chu, Bing Yang
Publikováno v:
IEEE Access, Vol 12, Pp 50254-50264 (2024)
Numerous supervised learning models aimed at classifying 12-lead electrocardiograms into different groups have shown impressive performance by utilizing deep learning algorithms. However, few studies are dedicated to applying the Generative Pre-train
Externí odkaz:
https://doaj.org/article/6b98d03aa49844f1b8b51e61e0b18aa4
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionAttention-deficit/hyperactivity disorder (ADHD) is one of the most common pediatric neurobehavioral disorders in the U.S. Stimulants, classified as controlled substances, are commonly used for ADHD management. We conducted an analysis of
Externí odkaz:
https://doaj.org/article/17c9a50b763b412aa8bdcb2e518907b9
Publikováno v:
Pharmaceuticals, Vol 17, Iss 2, p 161 (2024)
The discovery of novel therapeutic compounds through de novo drug design represents a critical challenge in the field of pharmaceutical research. Traditional drug discovery approaches are often resource intensive and time consuming, leading researche
Externí odkaz:
https://doaj.org/article/ea437c83172540e0ab0c2db7fdb3cf44
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Discharge medical notes written by physicians contain important information about the health condition of patients. Many deep learning algorithms have been successfully applied to extract important information from unstructured me
Externí odkaz:
https://doaj.org/article/f8c28bf0864444d5a82a7cdfe19e7505
Publikováno v:
IEEE Access, Vol 10, Pp 68711-68723 (2022)
ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network mo
Externí odkaz:
https://doaj.org/article/66d44796cea0425db424dd701b4c9994
Autor:
Ehsan Yaghmaei, Albert Pierce, Hongxia Lu, Yesha M Patel, Louis Ehwerhemuepha, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291362 (2023)
Alzheimer's disease is the most common type of dementia that currently affects over 6.5 million people in the U.S. Currently there is no cure and the existing drug therapies attempt to delay the mental decline and improve cognitive abilities. Two of
Externí odkaz:
https://doaj.org/article/0a24b09511e24a09876414c8c08bd646
Autor:
Jianwei Zheng, Islam Abudayyeh, Georgi Mladenov, Daniele Struppa, Guohua Fu, Huimin Chu, Cyril Rakovski
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
AimsDesign to develop an artificial intelligence (AI) algorithm to accurately predict the pulmonary artery pressure (PAP) waveform using non-invasive signal inputs.Methods and resultsWe randomly sampled training, validation, and testing datasets from
Externí odkaz:
https://doaj.org/article/7cc8153544554aa182fab8a45f46bde9
Autor:
Jianwei Zheng, Guohua Fu, Daniele Struppa, Islam Abudayyeh, Tahmeed Contractor, Kyle Anderson, Huimin Chu, Cyril Rakovski
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundRadiofrequency catheter ablation (CA) is an efficient antiarrhythmic treatment with a class I indication for idiopathic ventricular arrhythmia (IVA), only when drugs are ineffective or have unacceptable side effects. The accurate prediction
Externí odkaz:
https://doaj.org/article/40201a172937480fb1769bea4b806f01