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Predicting coronary artery occlusion risk from noninvasive images by combining CFD-FSI, cGAN and CNN
Abstract Wall Shear Stress (WSS) is one of the most important parameters used in
cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused …
cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused …
[HTML][HTML] Gastric cancer detection with ensemble learning on digital pathology: Use case of gastric cancer on gashissdb dataset
Simple Summary Gastric cancer is a major worldwide health concern, underscoring the
importance of early detection to enhance patient outcomes. Traditional histological analysis …
importance of early detection to enhance patient outcomes. Traditional histological analysis …
An Efficient Stacked Ensemble Model for Heart Disease Detection and Classification.
Cardiac disease is a chronic condition that impairs the heart's functionality. It includes
conditions such as coronary artery disease, heart failure, arrhythmias, and valvular heart …
conditions such as coronary artery disease, heart failure, arrhythmias, and valvular heart …
[HTML][HTML] A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing
Z Chen, MA Gouda, L Ji, H Wang - Alexandria Engineering Journal, 2025 - Elsevier
Finger joint angle (FJA) estimation, as a dynamic and fine-grained decoding mode, can
support intuitive and natural human–machine interactions. This study is pioneering work …
support intuitive and natural human–machine interactions. This study is pioneering work …
[HTML][HTML] Photoelectrochemical Sensing Strategies for Cardiovascular Biomarkers: A Review
X Zhang, Y Qin - International Journal of Electrochemical Science, 2024 - Elsevier
Cardiovascular diseases remain a critical global health challenge, necessitating advanced
diagnostic tools for early detection and monitoring. This review comprehensively examines …
diagnostic tools for early detection and monitoring. This review comprehensively examines …
Case based Reasoning Technique in Digital Diagnostic System for Lung Cancer Detection
An efficient method for creating digital diagnostic systems for the early diagnosis of lung
cancer is case-based reasoning (CBR). Artificial intelligence in the form of CBR employs …
cancer is case-based reasoning (CBR). Artificial intelligence in the form of CBR employs …
[HTML][HTML] Improved healthcare monitoring of coronary heart disease patients in time-series fashion using deep learning model
In this paper, an Improved Healthcare monitoring of Coronary Heart Diseaseframework is
developed for patients in time-series fashion using DL (deep learning) model. The model …
developed for patients in time-series fashion using DL (deep learning) model. The model …
Identification and validation of key predictive factors for heart attack diagnosis using machine learning and fuzzy clustering
Heart disease remains a leading cause of mortality worldwide, making early diagnosis and
prevention critical for improving patient outcomes. However, accurate diagnosis often …
prevention critical for improving patient outcomes. However, accurate diagnosis often …
[PDF][PDF] Revolutionizing Healthcare by Unleashing the Power of Machine Learning in Diagnosis and Treatment.
Machine learning (ML) is a versatile technology that has the potential to revolutionize
various industries. ML can predict future trends in customer expectations that allow …
various industries. ML can predict future trends in customer expectations that allow …
Heart Disease Classification Using Deep Neural Network with SMOTE Technique for Balancing Data
Heart disease is the leading cause of premature death worldwide. According to the WHO,
heart disease causes about 30% of the total 58 million deaths and mostly occurs in …
heart disease causes about 30% of the total 58 million deaths and mostly occurs in …