Results 101 to 110 of about 92,198 (268)

Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies

Sci
Thyroid disease is a health concern related to the thyroid gland, which is vital for controlling the metabolism of the human body. Predominantly affecting women in their fourth or fifth decades of life, thyroid disease can result in physical and mental ...
Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang   +2 more
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

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

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

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

Balance Disorders in Young and Middle‐Aged Adults: NHANES, 2001–2004 and 2021–2023

The Laryngoscope, EarlyView.
This study presents nationally‐representative estimates from two health exam surveys, NHANES 2001–2004 and 2021–2023. In the two decades between test periods, scores on the modified Romberg screening test for balance function demonstrated significantly better age‐specific performance in 2021–2023.
Howard J. Hoffman, Diana E. Fisher, Anne E. Hogan, Helen S. Cohen, Gregory A. Flamme, Christa L. Themann, Chuan‐Ming Li, Bryan K. Ward, Charles C. Della Santina   +8 more
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

3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor

Laser &Photonics Reviews, EarlyView.
Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang, Yizhi Wang, Chunhui Yao, Huiyu Huang, Rui Ma, Xin Du, Wanlu Zhang, Zhitian Shi, Minjia Chen, Ting Yan, Liang Ming, Yuxiao Ye, Richard Penty, Qixiang Cheng   +13 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

IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem

IEEE Access
Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label).
Himanshu Suyal, Shiv Naresh Shivhare, Gulshan Shrivastava, Rohit Singh, Ansh Singhal   +4 more
doaj   +1 more source