Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

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 ...

The application of machine learning (ML) to oncology is accelerating breakthroughs in cancer detection, diagnosis, and treatment, with gynecological cancers emerging as a key area of innovation. In a ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types NEW YORK--(BUSINESS WIRE)--Flatiron Health today ...

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...

1 Department of Radiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka 2 Department of Radiography/Radiotherapy, Faculty of Allied Health ...

Abstract: Network traffic analysis is essential for modern communication systems, focusing on tasks like traffic classification, prediction, and anomaly detection. While classical Machine Learning (ML ...

Abstract: Diagnosing brain tumors is an important consideration, especially when given the significant increase in cancer prevalence globally. Hounan is an innovative application designed for ...