Identification of a 5-Gene-Based Scoring System by WGCNA and LASSO to Predict Prognosis for Rectal Cancer Patients by He Huang, Shilei Xu, Aidong Chen, Fen Li, Jiezhong Wu, Xusheng Tu, Kunpeng Hu

“…Although accumulating evidence suggested that a molecular signature panel may be more effective for the prognosis prediction than routine clinical characteristics, current studies mainly focused on colorectal or colon cancers. …”
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An adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief by Alireza Entezari, Fatemeh Mayvaneh, Khosro Rezaie, Fatemeh Rahimi

“…The power of neural networks, prediction of future performance network (generalized orientation) it simply is not possible and the new model presented in this paper have been restricted Boltzmann machine-based neural networks or neural networks is used deep belief. …”
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Gene prediction of immune cells association between gut microbiota and colorectal cancer: a Mendelian randomization study by Yan Zhong, Guanglei Chen, Menglu Chen, Junsong Cui, Qianren Tan, Zhenghua Xiao

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Intraplaque Expression of C-Reactive Protein Predicts Cardiovascular Events in Patients with Severe Atherosclerotic Carotid Artery Stenosis by Aldo Bonaventura, François Mach, Aline Roth, Sébastien Lenglet, Fabienne Burger, Karim J. Brandt, Aldo Pende, Maria Bertolotto, Giovanni Spinella, Bianca Pane, Domenico Palombo, Franco Dallegri, Michele Cea, Nicolas Vuilleumier, Fabrizio Montecucco, Federico Carbone

“…In conclusion, in patients with severe carotid artery stenosis, high CRP levels within upstream portions of carotid plaques directly and positively correlate with intraplaque inflammatory cells and predict MACEs at an 18-month follow-up period.…”
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Effect and prediction of long-term weather and pollutant exposure on hemorrhagic fever with renal syndrome: based on statistical models by Weiming Hou

“…Therefore, we should focus on monitoring pollutants in cold conditions and developing HFRS prediction models.…”
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A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction by Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, Francesco Flammini, Badria Sulaiman Alfurhood, C. M. Naveen Kumar

“…Abstract The breast cancer (BC) prediction is improved through the machine learning (ML) techniques. …”
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Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning by Xiaoqing Liu, Miaoran Wang, Rui Wen, Haoyue Zhu, Ying Xiao, Qian He, Yangdi Shi, Zhe Hong, Bing Xu

“…The findings underscore the effectiveness of machine learning algorithms, particularly XGB, in predicting functional outcomes in diabetic AIS patients, providing clinicians with a valuable tool for treatment planning and improving patient outcome predictions based on receiver operating characteristic (ROC) analysis and accuracy assessments.…”
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First-Trimester Threatened Abortion: Can Red Blood Cell Distribution Width-Standard Deviation Predict Miscarriage? by Sebnem Karagun, Yusuf Dal, Hamza Yildiz, Sefanur Gamze Karaca, Ahmet Zeki Nessar, Ayhan Coskun

“… OBJECTIVE: The objective of the study was to investigate the predictive value of red blood cell distribution width-standard deviation (RDW-SD) and another complete blood count (CBC) derived blood markers in patients presenting with threatened abortion concerning miscarriage. …”
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Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women by Michiyo Yamada, Takashi Chishima, Takashi Ishikawa, Kazutaka Narui, Sadatoshi Sugae, Peter J. Tonellato, Itaru Endo

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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…The integration of solar geometry, geographic location, and atmospheric characteristics is required for the prediction of Direct Normal Irradiance. Predicting Direct Normal Irradiance is essential for maximizing the efficiency of solar power plants in the field of renewable energy. …”
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Association and Predictive Value Analysis for Resting Heart Rate and Diabetes Mellitus on Cardiovascular Autonomic Neuropathy in General Population by Zi-Hui Tang, Fangfang Zeng, Zhongtao Li, Linuo Zhou

“…The purpose of this study was to evaluate the predictive value of DM and resting HR on CAN in a large sample derived from a Chinese population. …”
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Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values by Hongmei Jin, Yu Pang, Xiaohui Du, Leilei Shi

“…Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm.…”
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Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III by Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan

“…Using engine bench test data to evaluate the proposed hybrid emission prediction model, the R2 of CO, HC, and NOx prediction is 0.9969, 0.9973, and 0.9982, respectively, which is higher than the accuracy of the seven existing modeling methods. …”
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Optimizing Risk-based Stock Return Prediction in Tehran Stock Exchange industries: A Data Envelopment Analysis by Hamidreza Akhbari, Heydar Mohammadzadeh Salteh, Rasoul Baradaran Hassanzadeh, Mehdi Zeynali

“…ConclusionTherefore, it can be said that optimizing stock return prediction in the oil and gas extraction industry, excluding exploration, is at a higher level compared to other industries examined in this study. …”
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EDA, PPG and Skin Temperature as Predictive Signals for Mental Failure by a Statistical Analysis on Stress and Mental Workload by G. Luzzani, I. Buraioli, G. Guglieri, D. Demarchi

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Evaluation of ventilation and cooling strategies in cattle sheds in the middle and lower Yangtze river regions based on model prediction by Haoyuan Fang, Peishi Yan, Shengjuan Wei, Dengjin Chen

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Combining Genetic Variants to Improve Risk Prediction for NAFLD and Its Progression to Cirrhosis: A Proof of Concept Study by Umberto Vespasiani-Gentilucci, Chiara Dell’Unto, Antonio De Vincentis, Andrea Baiocchini, Marco Delle Monache, Roberto Cecere, Adriano Maria Pellicelli, Valerio Giannelli, Simone Carotti, Giovanni Galati, Paolo Gallo, Francesco Valentini, Franca Del Nonno, Davide Rosati, Sergio Morini, Raffaele Antonelli-Incalzi, Antonio Picardi

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Establishment of a Nomogram Model for Predicting Cardiovascular and Cerebrovascular Events in Diabetic Nephropathy Patients Receiving Maintenance Hemodialysis by Xiaobing Liu, Caili Yan, Xiuxiu Niu, Jiechun Zeng

“…ROC curve analysis showed that the area under curve for predicting CCE was 0.881 (95% CI: 0.833~0.919), indicating that the nomogram model had great predictive effect. …”
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A novel nomogram to predict all‐cause readmission or death risk in Chinese elderly patients with heart failure by Mengxi Yang, Liyuan Tao, Hui An, Gang Liu, Qiang Tu, Hu Zhang, Li Qin, Zhu Xiao, Yu Wang, Jiaxai Fan, Dongping Feng, Yan Liang, Jingyi Ren

“…The present study sought to develop an accurate and easy‐to‐use model to predict all‐cause readmission or death risk in Chinese elderly patients with HF. …”
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Decomposition of skill scores for conditional verification: impact of Atlantic Multidecadal Oscillation phases on the predictability of decadal temperature forecasts by A. Richling, J. Grieger, H. W. Rust

“…Subsequently, we use it for a practical example from the field of decadal climate prediction: an evaluation of the Atlantic European near-surface temperature forecast from the German “Mittelfristige Klimaprognosen” (MiKlip) initiative decadal prediction system that is conditional on different Atlantic Multidecadal Oscillation (AMO) phases during initialization. …”
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