Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
ABSTRACT: Introduction: A large number of studies indicated that ionizing radiation exposure is a risk factor for some cancers and non-cancer diseases. However, hypothesis supported by the literature ...
Abstract: Salient and small lesions (e.g., microaneurysms on fundus) both play significant roles in real-world disease diagnosis under medical image examinations. Although deep neural networks (DNNs) ...
Protection of Category 1 – Restricted Data is required by law or regulation. The loss of confidentiality, integrity, or availability of the data or system could have a significant adverse impact on ...
Objectives To compare the sensitivity of 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology (EULAR/ACR) classification criteria against 1997 ACR criteria for ...
Abstract: A virtual example is an artificial example that does not exist in the given training set. We sample a virtual example from a Bayesian network constructed with the original training set. The ...
SINGAPORE—China imposed roughly $1.5 million in financial penalties on the Beijing arm of Mintz Group for allegedly conducting unapproved statistical work, months after local authorities detained the ...
This project makes use of supervised learning classification algorithms and two datasets of portable document format files, including open-access publications from PubMed Central Open Access Subset ...
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