HealthDay on MSN

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting ...
Cloud Security Alliance

Cyber Threat Intelligence: AI-Driven Kill Chain Prediction

KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
TheServerSide

AWS Machine Learning Certification Exam Dumps and Braindumps

If you want a structured and efficient way to prepare, the AWS ML Associate Exam Dump and AWS Machine Learning Sample Questions are designed to reinforce your knowledge through repetition and applied ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
GitHub

Automated Classification of Breast Ultrasounds

This archived repository contains all code and resources from a university coursework project that uses machine learning techniques to improve the metrics of the ResNet-18 neural network for breast ...
Scientific Research Publishing

Carvalho, D.V., Pereira, E.M. and Cardoso, J.S. (2019) Machine Learning Interpretability: A Survey on Methods and Metrics. Electronics, 8, Article 832.

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
C&EN

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
GitHub

Add Evaluation Metrics to Machine Learning Prediction Script

However, it does not evaluate the performance of the model. A critical step in any machine learning workflow is to understand how well the model is performing on unseen data. This task involves ...