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Comparison of single-point insulin sensitivity estimator (SPISE) index and cognitive performance in vitamin B-deficient young adults: An analytical cross-sectional study.
J Family Med Prim Care
December 2024
PhD Scholar, Department of Biochemistry, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
Background: Vitamin B is an essential micronutrient, aids in synthesis of neurotransmitters, and vital for cognitive function. In the current younger population with more of electronic gadgets and scientific world seems to slow down critical thinking and impairs the trick of comprehensive subjective learning. Vitamin B deficiency has been linked to insulin-resistant state and future cardiovascular risk.
View Article and Find Full Text PDFDeep clustering analysis via variational autoencoder with Gamma mixture latent embeddings.
Neural Netw
December 2024
CIISE, Concordia University, Montreal, H3G 1T7, QC, Canada. Electronic address:
This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering methods use the Gaussian mixture model (GMM) as a prior on the latent space. We employ a more flexible asymmetric Gamma mixture model to achieve higher quality embeddings of the data latent space.
View Article and Find Full Text PDFTackling the small data problem in medical image classification with artificial intelligence: a systematic review.
Prog Biomed Eng (Bristol)
June 2024
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Article Synopsis
- Medical imaging research using AI is hindered by the lack of large datasets, resulting in challenges like overfitting due to small sample sizes.
- A systematic review of 147 peer-reviewed articles revealed that many studies applied transfer learning and data augmentation techniques, while adherence to reporting standards was notably low.
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An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection.
PeerJ Comput Sci
October 2024
Beijing Wuzi University, Beijing, China.
Online financial transactions bring convenience to people's lives, but also present vulnerabilities for criminals to embezzle users' accounts and trick users into credit card fraud. Although machine learning methods have been adopted to detect anomalous transactions, it's hard for a single machine learning method to achieve satisfying results with the increasing scale and dimensionality of financial datasets. In addition, for anomaly detection of financial data, there is an obvious imbalance between normal records and abnormal.
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