Results 21 to 30 of about 3,188,697 (327)

Bayesian method for comparing F1 scores in the absence of a gold standard

open access: closedJournal of Biopharmaceutical Statistics
In the field of medicine, evaluating the diagnostic performance of new diagnostic methods can be challenging, especially in the absence of a gold standard. This study proposes a methodology for assessing the performance of diagnostic tests by estimating the posterior distribution of the F1 score using latent class analysis, without relying on a gold ...
Junsuke Tamura   +3 more
openalex   +2 more sources

Piscis: a novel loss estimator of the F1 score enables accurate spot detection in fluorescence microscopy images via deep learning

open access: green
AbstractSingle-molecule RNA fluorescencein situhybridization (RNA FISH)-based spatial transcriptomics methods have enabled the accurate quantification of gene expression at single-cell resolution by visualizing transcripts as diffraction-limited spots.
Zijian Niu   +7 more
openalex   +3 more sources

Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech [PDF]

open access: green2022 IEEE International Conference on Multimedia and Expo (ICME), 2022
Bicheng Yan   +4 more
openalex   +2 more sources

STUDY TIME CLASSIFICATION OF MATHEMATICS AND INFORMATION TECHNOLOGY DEPARTMENT OF KALIMANTAN INSTITUTE OF TECHNOLOGY USING NAÏVE BAYES ALGORITHM

open access: yesBarekeng, 2023
Institut Teknologi Kalimantan (ITK) is one of the state universities in Indonesia which has 5 majors, one of them is the Department of Mathematics and Information Technology (JMTI).
Fatrysia Wikarya Sucipto   +2 more
doaj   +1 more source

Extending F1 metric, probabilistic approach [PDF]

open access: yesAdvances in Artificial Intelligence and Machine Learning, 2022
This article explores the extension of well-known F1 score used for assessing the performance of binary classifiers. We propose the new metric using probabilistic interpretation of precision, recall, specificity, and negative predictive value.
Mikolaj Sitarz
semanticscholar   +1 more source

Comparative analysis of models predicting the risks of early poor outcome of deceased-donor liver transplantation: a retrospective single-center study

open access: yesТрансплантология (Москва), 2023
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation.
A. I. Sushkov   +10 more
doaj   +1 more source

Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)

open access: yesDiagnostics, 2022
Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease.
Mardhiyati Mohd Yunus   +8 more
doaj   +1 more source

Benchmarking Low-Frequency Variant Calling With Long-Read Data on Mitochondrial DNA

open access: yesFrontiers in Genetics, 2022
Background: Sequencing quality has improved over the last decade for long-reads, allowing for more accurate detection of somatic low-frequency variants. In this study, we used mixtures of mitochondrial samples with different haplogroups (i.e., a specific
Theresa Lüth   +6 more
doaj   +1 more source

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