Results 131 to 140 of about 111,551 (360)

Periodontitis severity and its social and clinical determinants: An ACES framework‐based NHANES analysis

Journal of Periodontology, EarlyView.
Abstract Objectives To assess associations between the poverty‐income ratio (PIR) and periodontitis severity using Application of the 2018 Periodontal Status Classification to Epidemiological Survey Data (ACES) framework. Methods Three NHANES cycles (2009–2014) with adults aged ≥30 years with complete periodontal examinations (n = 10,598) were included.
Meng Xuan Chen, Yue Yu, Chen Xuan Wei, Hamoun Sabri, Muhammad H. A. Saleh   +4 more
wiley   +1 more source

Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction

Sistemasi: Jurnal Sistem Informasi
Breast cancer is the leading cause of cancer-related death among women, with one of the major challenges in developing predictive models being the class imbalance in medical datasets.
Tri Yulian, Erliyan Redy Susanto
doaj   +1 more source

Exploring portable NIR spectroscopy in transmittance and reflectance modes for the authentication of Brazilian coffees with geographical indications

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Geographical indications (GIs) certify the link between coffee origin and quality, enabling premium pricing and protecting producers. However, the high market value of GI coffees increases their vulnerability to fraud, underscoring the need for reliable and practical authentication methods.
Leticia Tessaro, Yhan da Silva Mutz, Mikaela Martins de Bem, Natália de Oliveira Souza, Cleiton Antônio Nunes   +4 more
wiley   +1 more source

APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI

Barekeng
Indonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop.
Hikmah Hikmah, Nur Hilal A Syahrir, Putri Indi Rahayu   +2 more
doaj   +1 more source

Improved Faster RCNN Based on Feature Amplification and Oversampling Data Augmentation for Oriented Vehicle Detection in Aerial Images [PDF]

, 2020
Nan Mo, Yan Li
openalex   +1 more source

Medial parapatellar surgical approach leads to greater loss of postural sway complexity compared to mid‐vastus approach in women undergoing total knee arthroplasty

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Total knee arthroplasty (TKA) is associated with acute postoperative effects that increase the risk of falls. These effects differ between the medial parapatellar (PP) and mid‐vastus (MV) surgical techniques but have not been evaluated in terms of postural sway complexity.
Vasileios Mylonas, Stylianos Grigoriadis, Dimitris Metaxiotis, Eleftherios Kellis, Nick Stergiou, Thomas Nikodelis   +5 more
wiley   +1 more source

Mass spectrometry imaging of N‐linked glycans: Fundamentals and recent advances

Mass Spectrometry Reviews, EarlyView.
Abstract With implications in several medical conditions, N‐linked glycosylation is one of the most important posttranslation modifications present in all living organisms. Due to their nontemplate synthesis, glycan structures are extraordinarily complex and require multiple analytical techniques for complete structural elucidation.
Tana V. Palomino, David C. Muddiman
wiley   +1 more source

A transmission line fault identification method based on Deep Forest and SMOTE

Zhejiang dianli
Power transmission line faults exhibit multi-causal origins and imbalanced occurrence frequencies across fault types， resulting in significant class imbalance in transient waveform data.
JIANG Kaihua, ZHANG Yong, XIE Yingpu, LI Te, WANG Shaohua, LEI Mengfei, WANG Bowen   +6 more
doaj   +1 more source

G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE

, 2021
Georgios Douzas, Rene Rauch, Fernando Bação   +2 more
openalex   +2 more sources

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang, Brock W. Jolicoeur, James Rice, Caroline A. Doctor, Zaynab S. Yardim, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Kevin M. Johnson   +7 more
wiley   +1 more source