New hybrid thermodynamic model to predict hydrate stability temperature of systems containing diverse water-insoluble promoters and diverse gases, a novel fuzzy approach by Hassan Pahlavanzadeh, Shahrokh Rahbari

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Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

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Development and validation of a radiomic prediction model for TACC3 expression and prognosis in non-small cell lung cancer using contrast-enhanced CT imaging by Weichao Bai, Xinhan Zhao, Qian Ning

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Developing a novel artificial model to predict the foaming properties and β-carotene content of lucuma (Pouteria lucuma) during foam-mat drying and process optimization by Nguyen Minh Thuy, Le Thi Thuy Duong, Tran Ngoc Giau, Hong Van Hao, Vo Quang Minh, Ngo Van Tai

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Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio by Shuai Shang, Meng Wei, Huasheng Lv, Xiaoyan Liang, Yanmei Lu, Baopeng Tang

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Identifying cardiovascular disease risk in the U.S. population using environmental volatile organic compounds exposure: A machine learning predictive model based on the SHAP method... by Qingan Fu, Yanze Wu, Min Zhu, Yunlei Xia, Qingyun Yu, Zhekang Liu, Xiaowei Ma, Renqiang Yang

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Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model by Takeshi Tohyama, MD, PhD, Liam G. McCoy, MD, MSc, Euma Ishii, MD, PhD, Sahil Sood, Jesse Raffa, PhD, Takahiro Kinoshita, MD, MPH, Leo Anthony Celi, MD, MPH, MSc, Satoru Hashimoto, MD, PhD

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Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the USResearch in co... by Yue Zhang, Nasrollah Ghahramani, Runjia Li, Vernon M. Chinchilli, Djibril M. Ba

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Predicting abundance and distribution risk of oriental fruit fly, Bactrocera dorsalis (Handel) in India based on CMIP6 projections linked with temperature-driven phenology models by Jaipal Singh Choudhary, Santosh Sambhaji Mali, Subhash Kumar Sahu, Debu Mukherjee, Bikash Das, Arun Kumar Singh, Anup Das, Bhagwati Prasad Bhatt

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Predicting cardiac frequencies in mammals by Rui D. M. Travasso, Clint A. Penick, Robert R. Dunn, E. Corvera Poiré

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GL-ST: A Data-Driven Prediction Model for Sea Surface Temperature in the Coastal Waters of China Based on Interactive Fusion of Global and Local Spatiotemporal Information by Ning Song, Jie Nie, Qi Wen, Yuchen Yuan, Xiong Liu, Jun Ma, Zhiqiang Wei

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Predicting unemployment rates in Indonesia by Umi Mahmudah

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Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

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KITE-DDI: A Knowledge Graph Integrated Transformer Model for Accurately Predicting Drug-Drug Interaction Events From Drug SMILES and Biomedical Knowledge Graph by Azwad Tamir, Jiann-Shiun Yuan

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Optimizing AI Transformer Models for <italic>CO</italic>&#x2082; Emission Prediction in Self-Driving Vehicles With Mobile/Multi-Access Edge Computing Support by Javier Saez-Perez, Pablo Benlloch-Caballero, David Tena-Gago, Jose Garcia-Rodriguez, Jose Maria Alcaraz Calero, Qi Wang

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Development and validation of predictive models for disease-free survival and overall survival in non-metastatic right-sided colon adenocarcinoma patients based on inflammatory and... by Yifan Zhang, Yun Zhou, Chengjun Wu, Cheng Ma

“…The calibration plots revealed excellent agreement between the predicted and observed outcomes, whereas the DCA confirmed the clinical utility of the model. …”
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An Accurate Deep Key-Point Prediction Model With Low-Level Texture Refinement and High-Level Semantic Enhancement for Bolt Vertex Detection in Industrial Machine Systems by Jiaqi Liu, Yingbo Wang, Mingyue Lang, Fengyuan Zuo

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A comparative analysis between Model for End-stage Liver Disease score (MELD), Modified Model for End-stage Liver Disease score (MELD-Na), and Child–Pugh score (CPS) in predicting... by Anagha Ravinath Naik, Swathy Moorthy

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Development and Validation of a Novel Nomogram Risk Prediction Model for In-Hospital Death Following Extended Aortic Arch Repair for Acute Type A Aortic Dissection by Qiyi Chen, Yulin Wang, Yixiao Zhang, Fangyu Liu, Kejie Shao, Hao Lai, Chunsheng Wang, Qiang Ji

“…Background: Extended aortic arch repair (EAR) is increasingly adopted for treating acute type A aortic dissection (ATAAD). However, existing prediction models may not be suitable for assessing the in-hospital death risk in ATAAD patients undergoing EAR. …”
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Pretreatment CT-Based Machine Learning Radiomics Model Predicts Response in Inoperable Stage III NSCLC Treated with Concurrent Radiochemotherapy Plus PD-1 Inhibitors by Ya Li Bachelor, Min Zhang Bachelor, Yong Hu MM, Bo Du Bachelor, Youlong Mo Bachelor, Tianchu He MM, Mingdan Zhao Bachelor, Benlan Li Bachelor, Ji Xia Bachelor, Zhongjun Huang Bachelor, Fangyang Lu MD, Zhen Huang Bachelor, Bing Lu MD, Jie Peng MD

“…Prior to prospective data collection, the study was registered with the China Clinical Trial Registry under the trial registration name: Prediction of concurrent chemoradiotherapy efficacy and its related molecular signaling pathway by medical artificial intelligence model based on CT of lung cancer, with the registration number: ChiCTR2100053175 ( https://www.chictr.org.cn/showproj.html?…”
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