Results 81 to 90 of about 103,585 (306)

Data reduction techniques for highly imbalanced medicare Big Data

Journal of Big Data
In the domain of Medicare insurance fraud detection, handling imbalanced Big Data and high dimensionality remains a significant challenge. This study assesses the combined efficacy of two data reduction techniques: Random Undersampling (RUS), and a novel
John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang   +3 more
doaj   +1 more source

Early Prediction of Cerebrovascular Disease using Boosting Machine Learning Algorithms to Assist Clinicians

Journal of Applied Sciences and Environmental Management, 2022
Clinicians are required to make an early prediction of diseases to save a  life, especially cerebrovascular diseases. The objective of this research is to use mathematical models such as boosting machine learning algorithms as a tool to be applied by ...
S. D. Abdullahi, S. A. Muhammad
doaj   +1 more source

Customer profile classification using transactional data

, 2011
Customer profiles are by definition made up of factual and transactional data. It is often the case that due to reasons such as high cost of data acquisition and/or protection, only the transactional data are available for data mining operations ...
Edward T. Apeh, Amanda Schierz, Gabrys, Bogdan, Apeh, Edward Tersoo, Schierz, Amanda C., Bogdan Gabrys   +5 more
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Learning Imbalanced Data with Vision Transformers

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
The real-world data tends to be heavily imbalanced and severely skew the data-driven deep neural networks, which makes Long-Tailed Recognition (LTR) a massive challenging task. Existing LTR methods seldom train Vision Transformers (ViTs) with Long-Tailed (LT) data, while the off-the-shelf pretrain weight of ViTs always leads to unfair comparisons.
Zhengzhuo Xu, Ruikang Liu, Shuo Yang 0011, Zenghao Chai, Chun Yuan 0003   +4 more
openaire   +2 more sources

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Noise-Aware Undersampling for imbalanced medical data (NAUS)

Informatics in Medicine Unlocked
Advancements in medical research have increasingly relied on robust data analytics to support diagnostic and treatment decisions. However, data analysis still faces challenges when investigating datasets with severe class imbalance, often stemming from ...
Zholdas Buribayev, Ainur Yerkos, Zhibek Zhetpisbay, Markus Wolfien   +3 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Predictive Analytics Data Mining in Imbalanced Medical Dataset

Jurnal Komputer Terapan, 2016
Predictive Analytics Data Mining in Imbalanced Medical ...
Dini Hidayatul Qudsi
doaj  

DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification

Journal of Harbin University of Science and Technology
An oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets.
LIU Zhihan, ZHANG Zhonglin, ZHAO Lei
doaj   +1 more source