Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Andrej Prša receives funding from the National Aeronautics and Space Administration. Stars are the fundamental building blocks of our universe. Most stars host planets, like our Sun hosts our solar ...
Objective: Acute ST-segment elevation myocardial infarction (STEMI) is a serious cardiovascular event, and timely diagnosis and intervention are essential to improve prognosis. As a novel biomarker, ...
Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine learning ...
Background: The emergency department (ED), usually deemed not the most frequent setting for palliative care (PC), has increasingly been mentioned for its potential critical role in end-of-life patient ...
Logistic regression is a tool used in data science and machine learning to predict binary outcomes. Applications range from determining customer behaviors to diagnosing diseases. While the concept of ...
Twycross, A. (2017) Guidelines, Strategies and Tools for Pain Assessment in Children. Nursing Times.
ABSTRACT: Introduction: Pain management in pediatric patients is a critical aspect of healthcare delivery, yet it remains a significant challenge globally, particularly in low- and middle-income ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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