A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
RJ Woodman, AA Mangoni - Aging Clinical and Experimental Research, 2023 - Springer
The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …
research, including data-hungry deep learning algorithms. More computationally efficient …
[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …
relationship between external risk factors and our genetics have not been well established. It …
CNNRec: Convolutional Neural Network based recommender systems-A survey
Easy internet access and technological advancements have resulted in information overload
and a plethora of options, making decision-making extremely difficult. Recommender …
and a plethora of options, making decision-making extremely difficult. Recommender …
Early and fair COVID-19 outcome risk assessment using robust feature selection
Personalized medicine plays an important role in treatment optimization for COVID-19
patient management. Early treatment in patients at high risk of severe complications is vital …
patient management. Early treatment in patients at high risk of severe complications is vital …
An approach of a quantum-inspired document ranking algorithm by using feature selection methodology
R Bhagawati, T Subramanian - International Journal of Information …, 2023 - Springer
The main goal of an information retrieval system (IR) is ranking. Several methodologies
were adopted with the integration of computing and advanced applied systems. However …
were adopted with the integration of computing and advanced applied systems. However …
[HTML][HTML] Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation …
Background: Diagnosing lung diseases accurately is crucial for proper treatment.
Convolutional neural networks (CNNs) have advanced medical image processing, but …
Convolutional neural networks (CNNs) have advanced medical image processing, but …
Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models
The significance of prognostic survivability in determining optimal treatment strategies for
critical illnesses is widely acknowledged. However, there has been a lack of emphasis on …
critical illnesses is widely acknowledged. However, there has been a lack of emphasis on …
[HTML][HTML] UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features …
Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms
appear late in the disease's progression. Despite clinical risk scores, cardiac event …
appear late in the disease's progression. Despite clinical risk scores, cardiac event …
A recommendation system based on COVID-19 prediction & analyzing using ensemble boosted machine learning algorithm
A Maheswari, K Arunesh - SN Computer Science, 2023 - Springer
The unexpected COVID-19 outbreak is currently putting humans around the entire globe in
extreme danger. The emergence of this pandemic highlights numerous flaws in the …
extreme danger. The emergence of this pandemic highlights numerous flaws in the …
Diagnosis of Lung Diseases from Chest X-Ray Images Using Different Fusion Techniques
FA Mostafa, LA Elrefaei, MM Fouda… - … on Information and …, 2023 - ieeexplore.ieee.org
Lung diseases refer to a group of disorders that affect the lungs and respiratory system.
Several factors, such as genetics, environmental pollution, infections, and smoking can …
Several factors, such as genetics, environmental pollution, infections, and smoking can …