Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors by Jiaying Li, Xiaobing Wu, Xiaoyan Li, Miaozhen Deng, Xinyin Liang, Huiqun Wei

“…The ratio of 6MWD to predicted 6MWD was most correlated to forced expiratory volume in the first second (r=0.30, p<0.01) and forced vital capacity (r=0.30, p<0.01). …”
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Predictive Value of Systemic Immune Inflammation Index for Postoperative Atrial Fibrillation in Patients Undergoing Isolated Coronary Artery Bypass Grafting by Murat Selçuk, Tufan Çınar, Faysal Şaylık, Selami Doğan, Ismail Selçuk, Ahmet L. Orhan

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A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage by Asif Rajput, Jianqiang Li, Faheem Akhtar, Zahid Hussain Khand, Jason C Hung, Yan Pei, Anko Börner

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Predictive Factors, Treatment, and Outcomes of Coagulase-Negative Staphylococcal Peritonitis in Malaysian Peritoneal Dialysis Patients: A Single-Center Study by Siew Yan Lau, Boon Cheak Bee, Hin-Seng Wong, Marhanis Salihah Omar, Norazlah Bahari

“…Hence, this study aimed to describe the clinical and microbiologic characteristics of CoNS peritonitis in a PD center and determine predictive factors influencing the outcomes. Methods. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…Subsequently, construction of clinical predictive models and Rad score joint clinical predictive models using ML algorithms for optimal diagnostic performance. …”
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Need for cognition, academic self-efficacy and parental education predict the intention to go to college—evidence from a multigroup study by Lina Kramer, Stefanie Lüdtke, Philipp Alexander Freund

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Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization by Xingzhou Liu, Zhi Tian, Chang Chen

“…However, common TOC prediction methods rely on empirical formulas, and their applicability varies widely from region to region. …”
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A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network by Kun Zhang, Zhao Hu, Xiao-Ting Gan, Jian-Bo Fang

“…Due to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. …”
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CCR7 and CD48 as Predicted Targets in Acute Rejection Related to M1 Macrophage after Pediatric Kidney Transplantation by Jie Zhang, Jun Pei, Chengjun Yu, Jin Luo, Yifan Hong, Yi Hua, Guanghui Wei

“…Through a comprehensive bioinformatic analysis, our findings may provide predictive and therapeutic targets for AR after KT.…”
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Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction by Aradhyamatada Swamy, Rohitha U.M.

“…Thus, PM2.5 concentrations must be accurately predicted to protect communities from air pollution. …”
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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

“…Results Visceral fat (VF) proportion and VF/subcutaneous fat (SF) ratio increased with age, and both strongly predicted the presence and risk of developing diabetes. …”
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Individual Differences in Behavioural Despair Predict Brain GSK-3beta Expression in Mice: The Power of a Modified Swim Test by Tatyana Strekalova, Nataliia Markova, Elena Shevtsova, Olga Zubareva, Anastassia Bakhmet, Harry M. Steinbusch, Sergey Bachurin, Klaus-Peter Lesch

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Enhanced thyroid disease prediction using ensemble machine learning: a high-accuracy approach with feature selection and class balancing by Md. Rezaul Islam, Aniruddha Islam Chowdhury, Sharmin Shama, Md. Masudul Hasan Lamyea

Subjects: “…Thyroid Disease Prediction…”
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Collision Avoidance for Maritime Autonomous Surface Ships Based on Model Predictive Control Using Intention Data and Quaternion Ship Domain by Hanxuan Zhang, Yuchi Cao, Qihe Shan, Yukun Sun

“…This paper proposes a Model Predictive Control method that utilizes intention data of the target ship and a quaternion ship domain model to achieve collision avoidance while considering COLREGs, named IQMPC. …”
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Correction: Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

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SARS-CoV-2 Genome-Based Severity Predictions Correspond to Lower qPCR Values and Higher Viral Load by Martin Skarzynski, Erin M. McAuley, Ezekiel J. Maier, Anthony C. Fries, Jameson D. Voss, Richard R. Chapleau

“…The 2019 coronavirus disease (COVID-19) pandemic has demonstrated the importance of predicting, identifying, and tracking mutations throughout a pandemic event. …”
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Short-term predictive value of sST2 in patients with STEMI following primary PCI: a prospective observational study by Shan Huang, Lu-Jiao Yu, Guang-Feng Sun, Zi-Xin Zhang

“…In receiver operating characteristic curve (ROC) analyses, the area under the curve (AUC) of sST2 for predicting 30-days MACEs was 0.755(P < 0.001). The AUC of sST2 combining hs-CRP and LVEF for prediction was 0.828(95%CI [0.743–0.912], P < 0.001). …”
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Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

“…The framework is designed to tackle challenges in the prediction of hydropower generation by effectively managing complex, multivariate data. …”
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Erratum to “Prognostic and Predictive Value of CpG Island Methylator Phenotype in Patients with Locally Advanced Nonmetastatic Sporadic Colorectal Cancer” by Yuwei Wang, Yadong Long, Ye Xu, Zuqing Guan, Peng Lian, Junjie Peng, Sanjun Cai, Guoxiang Cai

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A No-Reference Modular Video Quality Prediction Model for H.265/HEVC and VP9 Codecs on a Mobile Device by Debajyoti Pal, Vajirasak Vanijja

“…We propose a modular no-reference video quality prediction model for videos that are encoded with H.265/HEVC and VP9 codecs and viewed on mobile devices. …”
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