Predicting death or readmission following heart failure hospitalisation: the VancOuver CoastAL Acute Heart Failure (VOCAL-AHF) registry by Nandini Dendukuri, James Brophy, Nathaniel Mark Hawkins, Samaneh Salimian, Negareh Mousavi

Get full text

High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances by Kainan Lu, Yibo Shang, Chen Wang, Bin Li, Xiaosheng Zhang, Lingfeng Wang, Zhenhua Zhao, Liucheng Zhou, Wei Chen

Get full text

A decision support system for herd health management for dairy farms by Jan Saro, Tomáš Šubrt, Helena Brožová, Robert Hlavatý, Jan Rydval, Jaromír Ducháček, Luděk Stádník

Get full text

Harnessing hybrid perception on multi-scale features for hand-foot-mouth disease multi-region prediction based on Seq2Seq. by Bingbing Lei, Xuanjun Zhu, Tao Zhou, Yuxi Zhang

Get full text

Mathematical and Machine Learning Innovations for Power Systems: Predicting Transformer Oil Temperature with Beluga Whale Optimization-Based Hybrid Neural Networks by Jingrui Liu, Zhiwen Hou, Bowei Liu, Xinhui Zhou

Get full text

Prevalence and prediction of hepatocellular carcinoma in alcohol-associated liver disease: a retrospective study of 136 571 patients with chronic liver diseases by Li Gao, Lin Han, Qiaoling Wang, Yinying Lu, Binxia Chang, Hui Tian, Ang Huang, Xingran Zhai, Xueyuan Jin, Qingsheng Liang, Baosen Li, Huan Xie, Dong Ji, Zhengsheng Zou

Get full text

Inactivation Kinetics of <i>Listeria monocytogenes</i> Applying Mild Temperatures and Fractionated Mexican Oregano Essential Oil (<i>Poliomintha longiflora</i> Gray) in a Modified... by Mariana Pimentel-González, Arícia Possas, Antonio Valero, Eduardo Sánchez-García, José Rodríguez-Rodríguez, Sandra Castillo

Get full text

The utility of liver function tests for mortality prediction within one year in primary care using the algorithm for liver function investigations (ALFI). by David J McLernon, John F Dillon, Frank M Sullivan, Paul Roderick, William M Rosenberg, Stephen D Ryder, Peter T Donnan

Get full text

Data-Selective Learning Algorithm Using Resonance Parameters Based on Stacked Data Augmentation for Wideband Impedance Prediction of Printed Spiral Coils by Joojoong Kim, Eakhwan Song

Get full text

A Fuzzy-Neural Model for Personalized Learning Recommendations Grounded in Experiential Learning Theory by Christos Troussas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou

Get full text

The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients by Zhou Liu, Guijun Jiang, Liang Zhang, Palpasa Shrestha, Yugang Hu, Yi Zhu, Guang Li, Yuanguo Xiong, Liying Zhan

“…Most importantly, two website prognostic prediction platforms were developed to enhance clinical accessibility: the ET model for AVGIB patients available at https://10zr656do5281.vicp.fun while the GB model for ANGIB patients accessible at http://10zr656do5281.vicp.fun.ConclusionThe ET model provides a reliable prognostic tool for AVGIB patients, while the GB model serves as a robust tool for ANGIB patients in predicting in-hospital mortality. …”
Get full text

LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks by Bing Zhang, Haoyu Wang, Chao Ma, Hai Huang, Zhou Fang, Jiaxing Qu

Get full text

Lens densitometry for assessment and prediction of cataract progression after pars plana vitrectomy with C3F8-gas for retinal detachment. by Philipp Schindler, Luca Mautone, Eileen Bigdon, Vasyl Druchkiv, Martin Stefan Spitzer, Christos Skevas

Get full text

Preoperative prediction of microvascular invasion and relapse-free survival in hepatocellular Carcinoma ≥3 cm using CT radiomics: Development and external validation by Hua Zhong, Yan Zhang, Guanbin Zhu, Xiaoli Zheng, Jinan Wang, Jianghe Kang, Ziying Lin, Xin Yue

Get full text

Predicting pathological response of resectable esophageal squamous cell carcinoma to neoadjuvant anti-PD-1 with chemotherapy using serum inflammation indexes by Peng Song, Zhiyuan Yao, Shuai Song, Zengjin Wen, Xiao Sun, Changlei Li, Huansong Yang, Wenjie Jiao, Yong Cui, Dong Chang

Get full text

Deep Learning Method for Breakdown Voltage and Forward <i>I-V</i> Characteristic Prediction of Silicon Carbide Schottky Barrier Diodes by Hao Zhou, Xiang Wang, Shulong Wang, Chenyu Liu, Dongliang Chen, Jiarui Li, Lan Ma, Guohao Zhang

Get full text

A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study by Shuitang Deng, Danjiang Huang, Xiaoyu Han, He Zhang, Hui Wang, Guoqun Mao, Weiqun Ao

Get full text

Circulating Immune Features Synergizing Neutrophil-to-Lymphocyte Ratio in Prediction of Poor Survival of Early-Stage Hepatocellular Carcinoma After Thermal Ablation by Fangying Fan MS, Guoping Dong MD, Chuanhui Han Ph.D, Yanchun Luo B.S., Xin Li MS, Xuanjuan Dong MS, Zhen Wang MS, Ping Liang MS, Jie Yu MS

Get full text

To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions by Pengyu Chen, Zhenwei Yang, Peigang Ning, Hao Yuan, Zuochao Qi, Qingshan Li, Bo Meng, Xianzhou Zhang, Haibo Yu

Get full text

IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction by Seongyong Park, Seonkyu Kim, Peng Jiang

“…However, cohort heterogeneity remains a major challenge, hindering the robustness and generalizability of predictive models across diverse RNA-seq datasets. In this study, we present IC2Bert, a novel model that employs masked gene expression pretraining combined with domain-specific supervised fine-tuning to enhance predictive robustness across heterogeneous ICB response cohorts. …”
Get full text