Results 21 to 30 of about 1,298,216 (229)
Comment on the Positive Predictive Value [PDF]
I enjoyed reading this informative and well structured article. Everyone involved in neonatal screening—in hospital and clinical practice and in the laboratory—would be well advised to have this review article and its practical tables ready to hand. I do not think, however, that the positive predictive value reported by the authors on page 16 for ...
openaire +3 more sources
Background Different risk-based colorectal cancer (CRC) screening strategies, such as the use of polygenic risk scores (PRS), have been evaluated to improve effectiveness of these programs.
Mireia Obón-Santacana+14 more
doaj +1 more source
Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration [PDF]
Deep-learning techniques, particularly the transformer model, have shown great potential in enhancing the prediction performance of longitudinal health records. While previous methods have mainly focused on fixed-time risk prediction, time-to-event prediction (also known as survival analysis) is often more appropriate for clinical scenarios.
arxiv +1 more source
Background An administrative database covering a whole population such as the national database in Japan may be used to estimate the nationwide prevalence of diseases including rheumatoid arthritis (RA) when a well-validated definition of the disease is ...
Kiyoshi Kubota+5 more
doaj +1 more source
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction [PDF]
Click-through rate (CTR) Prediction is of great importance in real-world online ads systems. One challenge for the CTR prediction task is to capture the real interest of users from their clicked items, which is inherently biased by presented positions of items, i.e., more front positions tend to obtain higher CTR values.
arxiv
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction [PDF]
Product attribute value extraction is an important task in e-Commerce which can help several downstream applications such as product search and recommendation. Most previous models handle this task using sequence labeling or question answering method which rely on the sequential position information of values in the product text and are vulnerable to ...
arxiv
Identifying incident cancer cases in dispensing claims
Introduction Dispensing claims are used commonly as proxy measures in pharmacoepidemiological studies; however, their validity is often untested. Objectives To assess the performance of a proxy for identifying cancer cases based on the dispensing of ...
Benjamin Daniels+2 more
doaj +1 more source
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces [PDF]
The Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes (HRE-TAN) classifier is a semi-naive Bayesian model that learns a type of hierarchical redundancy-free tree-like feature representation to estimate the data distribution. In this work, we propose two new types of positive feature values prioritized hierarchical redundancy eliminated tree
arxiv
Positive and negative predictive values by the TOC curve
Sensitivity and specificity are popular measures described by the receiver operating characteristic (ROC) curve. There are also two other measures such as the positive predictive value (PPV) and negative predictive value (NPV); however, the PPV and NPV cannot be represented by the ROC curve.
So Yeon Choi, Chong Sun Hong
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Confidence Intervals and Sample Size to Compare the Predictive Values of Two Diagnostic Tests
A binary diagnostic test is a medical test that is applied to an individual in order to determine the presence or the absence of a certain disease and whose result can be positive or negative.
José Antonio Roldán-Nofuentes+1 more
doaj +1 more source