New research uses machine learning to mine data from standard lung-cancer scans and predict patients most likely to have heart damage from radiation treatment later in life.

Please use one of the following formats to cite this article in your essay, paper or report: APA. Toshniwal Paharia, Pooja Toshniwal Paharia. (2024, February 07).

Using Machine Learning to Predict Unplanned Hospital Utilization and ... where DT achieved the best AUC. In the balanced data set, SVM and RF performed the best (highest AUC = 0.764 ... Kim YA, Kim JH ...

Machine learning prediction using BALF microbiome characteristics differentiated lung cancer from benign diseases, indicating that the BALF microbiome may be a novel biomarker for lung cancer ...

Lung cancer prediction using machine learning and statistical techniques. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by ...

This current AI study published in 2022 used the LCP-CNN, an AI machine-learning computer-aided diagnosis (CAD) model that was internally validated using data from the National Lung Screening ...

Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning For predicting relapse in 1,387 patients with ...