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

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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

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The Comparison of Responses to Geomagnetic Activity Changes of foF2 Predicted by IRI with Observations at Magnetic Conjugate Points for Middle and High Latitudes by İbrahim Ünal

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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. …”
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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

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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

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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

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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

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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

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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

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Nutritionally adequate, healthy, and climate-friendly diets following the Nordic Nutrition Recommendations 2023: an optimization study for Norway by Julie Lengle, Chi Zhang, Chi Zhang, Arnoldo Frigessi, Lene Frost Andersen

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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

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Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

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

“…The IC2Bert model and its source code are publicly available on GitHub: https://github.com/data2intelligence/ic2bert .…”
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Integration of multi-omics profiling reveals an epigenetic-based molecular classification of lung adenocarcinoma: implications for drug sensitivity and immunotherapy response predi... by Ning Wang, Yinan Li, Yaoyao Wang, Wenting Wang

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Prediction of gastric cancer development by serum pepsinogen test and Helicobacter pylori seropositivity in Eastern Asians: a systematic review and meta-analysis. by Teruhiko Terasawa, Hiroshi Nishida, Katsuaki Kato, Isao Miyashiro, Takaki Yoshikawa, Reo Takaku, Chisato Hamashima

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Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy by Inigo Bermejo, Jian Zheng, Zhen Zhang, Jian Zeng, Min Fang, Leonard Wee, Andre Dekker, Tianchen Luo, Meng Yan, Haixia Shen, Kaiyi Tao, Jingping Yuan, Dirk De Ruysscher, Wencheng Zhang, Youhua Jiang, Yongling Ji

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Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach by James Skoric, Anna M Lomanowska, Tahir Janmohamed, Heather Lumsden-Ruegg, Joel Katz, Hance Clarke, Quazi Abidur Rahman

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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate ca... by Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang

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Generalized nonlinearity in animal ecology: Research, review, and recommendations by David R. Heit, Waldemar Ortiz‐Calo, Mairi K. P. Poisson, Andrew R. Butler, Remington J. Moll

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