Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Deep Treatment Learning (deepTL), a robust yet efficient deep learningbased semiparametric regression approach, is proposed to adjust the complex confounding structures in comparative effectiveness ...

Researchers explore DNA methylation patterns for early ovarian cancer detection, aiming to improve survival rates through ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN).

The purpose of this study was to develop a deep learning NLP model to extract clinical outcomes of recurrence and progression in patients with NMIBC receiving intravesical BCG therapy, and to apply ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...