Prediction from Transmuted Rayleigh Distribution in the Presence of Outliers by Tahani Ahmad Aloafi

“…Numerical computations are obtained to illustrate the effect of outliers on the Bayesian predictive intervals.…”
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Expandable Orbit Decay Prediction Using Continual Learning by Junhua He, Hua Wang, Haitao Wang, Xuankun Fang, Chengyi Huo

“…The effectiveness of the traditional orbital prediction method for PODP is limited by inaccurate estimation of the spacecraft’s physical parameters and space environments. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

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Analyzing Predictive Factors for the Media’s Impact on the Nursing Profession by Jadranka Pavić, Marta Marković, Ana Marija Hošnjak, Aleksandar Racz, Irena Kovačević, Martina Smrekar

“…Statistical analyses included Welch ANOVA, <i>t</i>-tests, and hierarchical regression to predict the importance of media education. <b>Results:</b> Participants demonstrated positive perceptions of the media’s societal influence but identified a lack of adequate representation of nurses. …”
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Predicting Response of Constructed Tunnel to Adjacent Excavation with Dewatering by Panpan Guo, Feifei Liu, Gang Lei, Xian Li, Cheng-wei Zhu, Yixian Wang, Mengmeng Lu, Kang Cheng, Xiaonan Gong

“…This paper proposes a new method for predicting the displacement and internal force of constructed tunnels induced by adjacent excavation with dewatering. …”
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Fetal Growth Restriction Prediction: How to Move beyond by Debora F. B. Leite, Jose G. Cecatti

“…Maternal clinical factors have modest predictive accuracy; being born SGA appears to be of transgenerational heredity. …”
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Plasma Procalcitonin Is Useful for Predicting the Severity of Acute Cholecystitis by Saben Sakalar, Engin Ozakın, Arif Alper Cevik, Nurdan Acar, Serkan Dogan, Filiz Baloglu Kaya, Taylan Kara

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Prediction of Outcomes in Sports Under Probability in Kigezi Region. by Masereka, Jairus

Subjects: “…Prediction…”
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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

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A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients by Yana Qi, Yanran Hu, Chengting Lin, Ge Song, Liting Shi, Hui Zhu

“…Shapley values were also utilized to explain the prediction model.ResultsThe predictive capability of the multi-modality model in predicting pCR yielded an area under the curve (AUC) of 0.89 (95% confidence interval [CI], 0.75-1.00), outperforming the radiomics model (AUC 0.70 [95% CI 0.54-0.85]), pathomics model (AUC 0.77 [95% CI 0.53-1.00]), and clinical model (AUC 0.63 [95% CI 0.46-0.80]). …”
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A congestion prediction method based on trajectory mining algorithm by Liu Dongjiang, Li Leixiao, Li Jie

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Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics by Hui Liu, Linlin Ying, Xing Song, Xueping Xiang, Shumei Wei

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Symptoms and coronary risk factors predictive of adverse cardiac events in chest pain patients in an Asian emergency department: the need for a local prediction score by Ziwei Lin, Swee Han Lim, Qai Ven Yap, Cheryl Shumin Kow, Yiong Huak Chan, Siang Jin Terrance Chua, Anantharaman Venkataraman

“…Our study aimed to identify clinical characteristics predictive of major adverse cardiac events (MACE) in an Asian population and to derive a risk score for MACE. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model by Dai Liu, Chengxiang He, Jianlong Ma

Subjects: “…Rural migrant workers prediction…”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

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Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction by Neeti Sangwan, Vishal Bhatnagar

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Validity of E-PASS Score for Evaluating Perioperative Minor Complications Associated with Carotid Endarterectomy by Yutaka MORISHIMA, Masahito KAWABORI, Yoichi ITO, Masayuki GEKKA, Koji FURUKAWA, Yoshimasa NIIYA, Miki FUJIMURA

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Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models by Vasiliy N. Leonenko, Sergey V. Ivanov

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