Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Traumatic spinal cord injury (SCI) is a serious neurologic disorder that can result in long-term motor and sensory ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Objectives To examine how the population composition, practice organisation and geographical context of general practice clinics are associated with unwarranted variation in prescribing patterns ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

A nulliparous woman in her 40s presented with abdominal pain and dyspnoea during the second trimester of pregnancy. Ultrasonography revealed two large abdominal masses: the upper lesion occupied the ...