Dietary Polyphenol Intake in Relation to Ultra-Processed Food Consumption in a Mediterranean Population-Based Cohort: Findings from the Moli-Sani Study by Emilia Ruggiero, Augusto di Castelnuovo, Simona Costanzo, Simona Esposito, Giovanni de Gaetano, Licia Iacoviello, Marialaura Bonaccio

“…In multivariable-adjusted linear regression analysis controlled for the sociodemographic, behavioral and clinical factors, more UPF intake was associated with fewer dietary polyphenols (β = −59.2; 95% CI: from −62.1 to −56.3 mg/day of polyphenols for 1-SD increase in UPF). …”
Get full text

Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms by Siecinski Szymon, Doniec Rafal Jan, Grzegorzek Marcin

Get full text

Three-year post-stroke outcomes in urban North-western Tanzania by Joshua Ngimbwa, Goodluck Nchasi, Innocent Kitandu Paul, Anna Kasala, Lilian Andrew Mwamba, Sospeter Berling, Matilda K. Basinda, Gladness Xavier, Benjamin Andrew, Akili Mawazo, Dorice Lucas, Karim Mahawish, Ladius Rudovick, Ladius Rudovick, Bahati Wajanga, Bahati Wajanga, Robert Peck, Robert Peck, Sarah Shali Matuja

“…Case fatality rates were 42.9% (98/228) at 1 year, 75.9% (173/228) at 2 years, and 96.5% (220/228) at 3 years. Independent factors associated with fatality were severe stroke (adjusted hazard ratio (aHR) 7.9, 95% CI [2.3, 27.4], p = 0.001), moderate to severe stroke (aHR 4.6, 95% CI [1.3, 16.1], p = 0.017), a lack of health insurance coverage (aHR 3.7, 95% CI [1.9, 6.8], p < 0.001), and previous stroke (aHR 3.3, 95% CI [1.3, 8.3], p = 0.01). …”
Get full text

Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study by Yuhui Chen, Li Chen, Liang Xian, Haibing Liu, Jiaxing Wang, Shaohuai Xia, Liangfeng Wei, Xuewei Xia, Shousen Wang

“…Prognosis was assessed through a dichotomized Glasgow Outcome Scale (GOS). A novel OTBI classification was proposed, categorizing patients based on a combination of intracranial hematoma and midline shift observed on imaging, and logistic regression analyses were performed to identify risk factors associated with poor prognosis and to investigate the association between the novel OTBI classification and prognosis. …”
Get full text

A multi-level classification model for corrosion defects in oil and gas pipelines using meta-learner ensemble (MLE) techniques by Adamu Abubakar Sani, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman Danyaro, Nasir Khan, Adamu Tafida, Arsalaan Khan Yousafzai

“…The model classifies corrosion defects into three categories: high, medium, and low. Prediction accuracy was improved by using a stacking classifier that combines multiple basic classifiers with a logistic regression meta-learner. …”
Get full text

A Classification Tree Model with Optical Coherence Tomography Angiography Variables to Screen Early-Stage Diabetic Retinopathy in Diabetic Patients by Hongyan Yao, Shanjun Wu, Zongyi Zhan, Zijing Li

Get full text

Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method by Chia-Hao Shih, Elyssa Charlotte Feuer, Ben Kurzion, Kevin Xu, Hong Xie, Stephen R. Grider, Xin Wang

“…This proof-of-concept study aimed to design a concise tree-based adaptive test using the Classification and Regression Trees (CART) framework to predict PTSD development.Methods: Utilizing data from a longitudinal neuroimaging study, adult trauma survivors were enrolled from local hospital emergency departments within 48 h of experiencing trauma. …”
Get full text

Quality-Aware PPG-Based Blood Pressure Classification for Energy-Efficient Trustworthy BP Monitoring Devices With Reduced False Alarms by Yalagala Sivanjaneyulu, M. Sabarimalai Manikandan, Srinivas Boppu, Linga Reddy Cenkeramaddi

“…For the case of processing a 60s noisy PPG signal, the QA-BP method had an energy saving of 41.3% with display mode and an energy saving of 95.3% with the data transfer mode as compared to the BP classification method without the SQA approach. …”
Get full text

Classification-informed estimation: the role of water-type clustering to improve neural network generalization for salinity and temperature estimation in coastal waters by Solomon White, Encarni Medina-Lopez, Tiago Silva, Evangelos Spyrakos, Laurent Amoudry, Adrien Martin

Get full text

The Predictive Value of ACR TI-RADS Classification for Central Lymph Node Metastasis of Papillary Thyroid Carcinoma: A Retrospective Study by Minying Zhong, Zhaoming Zhang, Yisheng Xiao, Yanping He, Yongyu Chen, WeiJun Huang, Liping Lu

Get full text

Radiomic study of common sellar region lesions differentiation in magnetic resonance imaging based on multi-classification machine learning model by Hang Qu, Qiqi Ban, LiangXue Zhou, HaiHan Duan, Wei Wang, AiJun Peng

Get full text

Test Case Prioritization Based on Neural Networks Classification: A Replication Study and Hyper-Parameter Optimization Using Taguchi Methods by Andreea Vescan, Cristina-Maria Tiutin

Get full text

A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers by Mehtab Ur Rahman, Cem Direkoglu

Get full text

Prevalence, classification, risk factors and outcome impact of delirium in patients with COVID-19: a meta-analysis protocol for systematic review by Jia Shi, Yue Liu, Chenghui Zhou, Baohui Lou, Jingfei Guo, Chao Xiong

Get full text

Implementation of a revised classification for intrapartum fetal heart rate monitoring and association to birth outcome: A national cohort study by Maria Jonsson, Jonas Söderling, Lars Ladfors, Lennart Nordström, Marianne Nilsson, Michael Algovik, Mikael Norman, Malin Holzmann

“…Conclusions Although not statistically significant, a small increase in the incidence of HIE 2–3 after implementation of the revised CTG classification cannot be excluded. …”
Get full text

Body conformation and weight relationships in Dohne Merino sheep: A comparison of measured and subjective traits by MA Snyman, WJ Olivier

“…The three judges clearly emphasised different traits when assessing body conformation and awarding classification symbols. …”
Get full text

Characteristics of the hydrological regime of the periglacial moraine lakes in the Altai by G. V. Pryakhina, V. A. Rasputina, E. S. Zelepukina, D. V. Bantcev, A. E. Kryzhanovskaya

Get full text

The impact of union activities and employee terminations on labor lawsuits in Brazil by Luciana Luk-Tai Yeung, Adriana Bruscato Bortoluzzo, Fabiana Rodrigues Alves

“…The results were satisfactory in terms of model fit, with accurate classification percentages greater than 73% (up to 75.1%) and ROC curve values ranging from 77.1% to 79.3%. …”
Get full text

Estimation du sexe fœtal à partir de l’ilium by Pascal Adalian, Sandrine Boutin-Forzano, Marie-Dominique Piercecchi-Marti, Yann Ardagna, Michel Signoli, Ferenc Kosa, Georges Leonetti, Olivier Dutour

Get full text

ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT by Amelia Amelia, Fitra Mulyani, Ulya Nabilla

Get full text