Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
Abstract: Deep learning-based methods require samples for training, while synthetic aperture radar (SAR) images are limited due to the imaging environment, which restricts the recognition performance ...
Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...
In this project we aim to develop a regression model that uses sleep-related, lifestyle, and physiological information to predict an individual’s self-reported stress level. Research shows that 30–40% ...
1 Department of Internal Medicine, Maltepe University Hospital, Istanbul, Türkiye 2 Department of Palliative Medicine, Maltepe University Hospital, Istanbul, Türkiye Background: Pressure ulcers (PUs) ...
Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
Background: Total hip arthroplasty (THA) is an effective treatment for end-stage hip disease, which can significantly relieve pain, rebuild joint function, and improve patients’ quality of life. Early ...
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