Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

“…For each solar component’s prediction, different combinations of inputs as well as different numbers of hidden neurons were considered. …”
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The Use of Machine Learning to Create a Risk Score to Predict Survival in Patients with Hepatocellular Carcinoma: A TCGA Cohort Analysis by Samer Tohme, Hamza O Yazdani, Amaan Rahman, Sanah Handu, Sidrah Khan, Tanner Wilson, David A Geller, Richard L Simmons, Michele Molinari, Christof Kaltenmeier

“…ANN analysis of the 75 most significant genes predicting disease-free survival (DFS) was performed. …”
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Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 by Irene Xagoraraki, Liang Zhao, Yabing Li, Brijen Miyani, John Norton, James Broz, Andrew Kaye, Anna Mehrotra, Anil Gosine, Scott Withington, Stacey McFarlane, Russell A. Faust

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MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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Characteristics of Spatial and Temporal Evolution of Coastal Wetland Landscape Patterns and Prediction Analysis—A Case Study of Panjin Wetland, China by Qian Cheng, Ruixin Chen, Wei Xu, Meiqing Wang

“…For this research, we quantified the landscape type changes in Panjin Wetland from 1992–2022, and analyzed the interaction between the combined PLUS and InVEST models to predict the future evolution of spatial and temporal patterns of habitat quality (HQ) and landscape patterns in Panjin Wetland. …”
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The simpler modified fried frailty scale predicts 2-year mortality in older adults with heart failure: a pilot study by Celalettin Küçük, Serdar Özkök, Gülistan Bahat, Ekrem Bilal Karaayvaz, Mustafa Altınkaynak, Alpay Medetalibeyoğlu, Mehmet Akif Karan

“…Further large scale studies are needed to support the predictive validity of SMFFS in older patients with HF.…”
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Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity by Kalina Veruska Da Silva Bezerra Masset, Analiza M. Silva, Analiza M. Silva, Gerson Ferrari, Gerson Ferrari, Breno Guilherme De Araújo Tinoco Cabral, Paulo Moreira Silva Dantas, Roberto Fernandes Da Costa

“…Bioelectrical Impedance Analysis (BIA) is a fast, non-invasive, relatively low-cost, and user-friendly technique; however, to obtain greater validity of the estimates, the predictive equations used must be population specific. …”
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Testing Multi-Theory Model (MTM) in Predicting Physical Activity Behavior Among Upper Elementary School Children in Northern India by Poonam KHANNA, Tejinder Pal SINGH, Tarundeep SINGH, Rekha KAUSHIK, Manoj SHARMA

“…Aim of this study was to predict physical acti- vity (PA) behavior among upper elementary school children from Northern India through Multi -Theory Model (MTM). …”
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Correction: Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal by Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

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Prediction of drug-drug plasma protein binding interactions of resveratrol in combination with celecoxib and leflunomide by molecular docking combined with an ultrafiltration technique by Zhou Peng, Hua Fang

“…Molecular docking was adopted to predict the interactions between resveratrol and other drugs and then the ultrafiltration technique was used to verify the docking results. …”
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LncRNA HOTAIR: A Novel Biomarker for the Diagnosis of Asymptomatic Carotid Artery Stenosis and Prediction of the Onset of Cerebral Ischemic Events by Pengcheng Feng, Chenguang Tong, Yuan Li, Li Liu

“…Conclusions Serum HOTAIR was reduced in patients with ACAS and may be a non-invasive diagnostic biomarker for ACAS and predicts the development of CIE.…”
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Sounds and Natures Do Often Agree: Prediction of Esports Players’ Performance in Fighting Games Based on the Operating Sounds of Game Controllers by Yamato Hiratsuka, Kazuki Kuga, Takahiro Miura, Tetsuo Tanaka, Mari Ueda

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Chemical Feature-Based Molecular Modeling of Urotensin-II Receptor Antagonists: Generation of Predictive Pharmacophore Model for Early Drug Discovery by Anubhuti Pandey, Sarvesh Kumar Paliwal, Shailendra Kumar Paliwal

“…Multiple validation techniques like CatScramble, test set prediction, and mapping analysis of advanced known antagonists have been employed to check the predictive power and robustness of the developed model. …”
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Lymphocyte-C-reactive protein ratio upon admission to predict disease progression and ICU admission in adult patients with diabetic ketoacidosis by Yi-Jia Hu, Shu-Xiao Qiu, Jian-Nan Zhang, Qi-Qi Lai, Yi-Lu Lin, Lin-Qiong Liu, Di Wu, Hui-Ying Liu, Huan Meng, Jia-Xi Xu, Jia-Ning Zhang, Bo-Wen Liu, Yan Gao, Kai Kang, Yang Gao

“…Abstract This study aimed to investigate whether lymphocyte-C-reactive protein ratio (LCR) upon admission can predict disease progression and intensive care unit (ICU) admission in adult patients with diabetic ketoacidosis (DKA). …”
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Evaluation and Prediction of the HIV-1 Central Polypurine Tract Influence on Foamy Viral Vectors to Transduce Dividing and Growth-Arrested Cells by Sergey Shityakov, Carola Förster, Axel Rethwilm, Thomas Dandekar

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3D synergistic tumor-liver analysis further improves the efficacy prediction in hepatocellular carcinoma: a multi-center study by Yurong Jiang, Jiawei Zhang, Zhaochen Liu, Jinxiong Zhang, Xiangrong Yu, Danyan Lin, Dandan Dong, Mingyue Cai, Chongyang Duan, Shuyi Liu, Wenhui Wang, Yuan Chen, Qiyang Li, Weiguo Xu, Meiyan Huang, Sirui Fu

“…Conclusions Combined with clinical factors, 3D synergistic tumor-liver assessment improved the efficacy prediction of HCC.…”
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Identifying risk factors and constructing a predictive model for heart failure combined with intracardiac thrombus in non-compaction cardiomyopathy patients by Peizhu Dang, Haiyang Wang, Xiaowei Huo, Zheyong Liang, Yongjian Zhang

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Establishment and Validation of a Predictive Model for Radiation-Associated Aspiration Pneumonia in Patients with Radiation-Induced Dysphagia after Nasopharyngeal Carcinoma by Honghong Li, Yong He, Xiaohuang Zhuo, Zongwei Yue, Xiaoming Rong, Yike Li, Yi Li, Lei He, Jinping Cheng, Dong Pan, Ruiqi Xue, Jinhua Cai, Jingru Jiang, Yongteng Xu, Yamei Tang

“…We aimed to develop and validate a model to predict radiation-associated aspiration pneumonia (RAP) among patients with dysphagia after radiotherapy for nasopharyngeal carcinoma (NPC). …”
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Efferocytosis-related gene IL33 predicts prognosis and immune response and mediates proliferation and migration in vitro and in vivo of breast cancer by Xiao He, Xianjie Cheng, Zhun Zhang, Lanhui Chen, Changjun Xie, Mengjie Tang

“…Our study seeks to create a predictive model for BRCA using efferocytosis-related genes (ERGs) to explore the significance of efferocytosis in this disease.MethodsIn this research, Differential analysis, and univariate Cox regression were employed to identify genes linked to prognosis in BRCA patients. …”
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Importance of Android/Gynoid Fat Ratio in Predicting Metabolic and Cardiovascular Disease Risk in Normal Weight as well as Overweight and Obese Children by Lennie Samsell, Michael Regier, Cheryl Walton, Lesley Cottrell

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