Results 61 to 70 of about 224,004 (328)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

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

Oversampling for Imbalanced Learning Based on K-Means and SMOTE

, 2017
Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced class distributions. While different strategies exist to tackle this problem,
Bacao, Fernando, Douzas, Georgios, Last, Felix   +2 more
core   +1 more source

HSP70 governs permeability and mechanotransduction in primary human endothelial cells

FEBS Open Bio, EarlyView.
HSP70 chemical inhibition reduces endothelial cell proliferation and increases permeability, the latter supported by normal interendothelial junctional protein distribution. HSP70 also plays a role in shear stress response, a hemodynamic force naturally present in blood vessels and correlated with vessel protection.
Andrea Pinto‐Martinez, Everton G. Melo, Isadora C. B. Pavan, Percíllia V. S. Oliveira, Luiza B. C. T. Coimbra, Thaís L. S. Araujo   +5 more
wiley   +1 more source

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

, 2019
Early detection of patients vulnerable to infections acquired in the hospital environment is a challenge in current health systems given the impact that such infections have on patient mortality and healthcare costs.
Ballesteros-Herráez, Juan Carlos, Kraiem, Mohamed S., Moreno-García, María N., Sánchez-Barba, Mercedes, Sánchez-Hernández, Fernando   +4 more
core   +1 more source

Calcium‐sensing receptor induces the apoptosis of chondrocytes in cooperation with phosphate transporter

FEBS Open Bio, EarlyView.
Excess Ca2+ ions activate the Calcium‐Sensing Receptor (CaSR), which subsequently drives the uptake of excess inorganic phosphate (Pi) via the Pi transporter (Pit−1) in chondrocytes. This mechanism causes a toxic increase in intracellular Pi concentration, ultimately leading to chondrocyte apoptosis and pathological mineralization. Excess extracellular
Sachie Nakatani, Hiroya Ueda, Ayumi Kawata, Yuki Sato, Kotomi Inomata, Hiroshi Mano, Masahiro Wada, Kenji Kobata   +7 more
wiley   +1 more source

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 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  

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

Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data [PDF]

, 2022
Yoo-Kyung Boo, Youngjin Choi
openalex   +1 more source