Electroencephalogram Sonification with Hybrid Intelligent System Design Based on Deep Network [0.03%]
基于深度网络的混合智能系统设计的脑电声化研究
Hamidreza Jalali,Majid Pouladian,Ali Motie Nasrabadi et al.
Hamidreza Jalali et al.
Background: The electroencephalogram (EEG) sonification is an audio portrayal of EEG signals to provide a better understanding of events and brain activity thereupon. This portrayal can be applied to better diagnosis and ...
A Deep Learning Approach Toward Differentiating Left versus Right for Idiopathic Ventricular Arrhythmia Originated from Outflow Tract [0.03%]
一种区分左肺和右肺流出道特发性室性心律失常起源的深度学习方法
Reza Talebzadeh,Hossein Khosravi,Majid Haghjoo et al.
Reza Talebzadeh et al.
Background: Idiopathic ventricular arrhythmia (VA) is among the common cardiac diseases, ranging from benign conditions to those requiring immediate medical intervention. Many VAs originate from the heart's outflow tract ...
Investigating Causal Links between Metabolite Profiles and Ulcerative Colitis: A Bidirectional Mendelian Randomization Study [0.03%]
代谢谱与溃疡性结肠炎的因果关系研究：一种双向孟德尔随机化方法
Parvin Zarei,Zoha Kamali,Ammar Hassanzadeh Keshteli et al.
Parvin Zarei et al.
Background: While metabolic biomarkers are known to play a significant role in the development of ulcerative colitis (UC), the exact causal relationships between them remain uncertain and warrant further investigations. H...
Interdisciplinary Research in Iran VII: The Convergence of Biology and Artificial Intelligence [0.03%]
伊朗的跨学科研究第七期：生物学与人工智能的融合
Alireza Ani,Ahmad Vaez
Alireza Ani
Zoha Kamali,Amir Jalilvandnejad,Bentolhoda Falenji et al.
Zoha Kamali et al.
Background: Systems biology is an interdisciplinary approach, which will fundamentally transform the way biology is perceived and studied. Subsequently, biomedical knowledge, medical practice, health systems, and related ...
Human Stress Classification Using Cardiovascular and Respiratory Data Based on Machine Learning Techniques [0.03%]
基于机器学习技术的心血管和呼吸数据的人体压力分类方法
Mahdis Yaghoubi,Navid Adib,Abolfazl Rezaei Monfared et al.
Mahdis Yaghoubi et al.
Background: Stress, a widespread mental health concern, significantly impacts people well-being and performance. This study proposes a novel approach to stress detection by fusing cardiovascular and respiratory data. ...
Artificial Intelligence-based Automated International Classification of Diseases Coding: A Systematic Review [0.03%]
基于人工智能的自动疾病国际分类编码：系统性综述
Seyyedeh Fatemeh Mousavi Baigi,Masoumeh Sarbaz,Ali Darroudi et al.
Seyyedeh Fatemeh Mousavi Baigi et al.
Automated clinical coding, facilitated by artificial intelligence (AI) techniques like natural language processing and machine learning, has emerged as a promising approach to enhance coding efficiency and accuracy in healthcare. This revie...
A New Method for Dynamic Brain Connectivity Analysis Based on Tensor Decomposition in Tinnitus Using High-density Electroencephalogram in Source Domain [0.03%]
基于张量分解的耳鸣高密度脑电源网络动态连接性分析新方法研究
Moein Bahman,Seyed Saman Sajadi,Iman Ghodrati Toostani et al.
Moein Bahman et al.
Background: Functional connectivity (FC), defined as the statistical reliance among different brain regions, has been an effective tool for studying cognitive brain functions. The majority of existing FC-based research ha...
Designing a Software for Registry of Pregnant Women with Heart Disease in Iran and Preliminary Results [0.03%]
伊朗妊娠期心脏病女性登记软件的设计及初步结果
Mahdi Kalani,Fateme Mahdikhoshouei,Parvin Bahrami et al.
Mahdi Kalani et al.
Heart disease in pregnancy is an important health issue worldwide which needs precise care to improve pregnant women health care and reduce maternal mortality rate (MMR). As we know registries play an important role in improvement of health...
A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG [0.03%]
基于EEG的复发率变异性的一种非线性方法鉴别癫痫患者的动态轨迹
Morteza Farahi,Seyed Saman Sajadi,Fateme Karbasi et al.
Morteza Farahi et al.
Background: Surgery is a well-established treatment for drug-resistant epilepsy, but outcomes are often suboptimal, especially when no lesion is visible on preoperative imaging. A major challenge in determining the seizur...