Short communication: Genomic prediction based on unbiased estimation of the genomic relationship matrix in pigs by M.Y. Li, L.Y. Shi, D.E. MacHugh, X.Q. Wang, J.J. Tian, L.G. Wang, Y.J. Deng, L.X. Wang, F.P. Zhao

Subjects: “…Genomic best linear unbiased prediction…”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Conclusion: An ML algorithm accurately predicted medical device recall status by the FDA with lead times as great as 12 months. …”
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A risk prediction score to identify patients at low risk for COVID-19 infection by Wui Mei Chew, Chee Hong Loh, Aditi Jalali, Grace Shi En Fong, Loshini Senthil Kumar, Rachel Hui Zhen Sim, Russell Pinxue Tan, Sunil Ravinder Gill, Trilene Ruiting Liang, Jansen Meng Kwang Koh, Tunn Ren Tay

“…The derived prediction models were subsequently validated on a test cohort. …”
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Accuracy and Prediction of Hopperburn by Brown Planthopper (Nilaparvata Lugens Stal) with Sentinel-2 Images by Rahmad Gunawan, Reflinaldon Reflinaldon, Yaherwandi Yaherwandi

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A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound by An Wei, Yan Zou, Zhen-Hua Tang, Feng Guo, Yan Zhou

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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

“…These results demonstrate the precision and reliability of the NBAR model and signify its effectiveness in predicting soil stabilization outcomes. Overall, this approach offers a promising way to accurately predict the MDD of soil stabilization mixtures in various engineering applications. …”
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Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

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A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers by Pablo Andrés Buestán Andrade, Pedro Esteban Carrión Zamora, Anthony Eduardo Chamba Lara, Juan Pablo Pazmiño Piedra

“… This study evaluates the effectiveness of Recurrent Neural Networks (RNNs) and Transformer-based models in predicting the Air Quality Index (AQI). Accurate AQI prediction is critical for mitigating the significant health impacts of air pollution and plays a vital role in public health protection and environmental management. …”
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Epidemiological trends and predictions of urinary tract infections in the global burden of disease study 2021 by Yining He, Jing Zhao, Lanhui Wang, Chao Han, Ruxue Yan, Peiqi Zhu, Tianyang Qian, Siyao Yu, Xiaolin Zhu, Weiming He

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Predictive value of the perivascular fat attenuation index for MACE in young people suspected of CAD by Yani Yu, Dongkai Shan, Xi Wang, Zinuan Liu, Guanhua Dou, Junjie Yang, Yuqi Liu, Yundai Chen

“…This study aimed to assess the predictive value of the perivascular FAI in young people suspected of having coronary atherosclerotic disease (CAD). …”
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Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology by Noetinger, Benoît

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The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

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A prediction model for the oceanauts’ cognitive performance based on the mental workload of typical tasks by Mengya Zhu, Jingluan Wang, Xian Zhang, Dengkai Chen

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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

“…The random forest-based CVD prediction model demonstrated excellent predictive power and provided valuable insights for personalized patient care and optimal resource allocation in populations exposed to heavy metals.…”
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The role of Shock Index and its derivatives in predicting mortality in patients with upper gastrointestinal bleeding by Mehmet Seyfettin Saribas, Ali Aygun, Furkan Kara, Adem Koksal, Ibrahim Caltekin

“…When examining the area under the curve (AUC), Age-SI (ASI) showed the best performance in predicting in-hospital mortality (AUC 0.837), followed by Age-Modified Shock Index (AMSI, AUC 0.829), MSI (AUC 0.810), and SI (AUC 0.806). …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…In this study, Python was used to develop predictions for missing data, demonstrating the capability of machine learning to enhance data reliability and improve petroleum exploration processes. …”
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Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity by Ethel Siew Ee Tan, Hong Ming Tan, Kah Vui Fong, Sheryl Yu Xuan Tey, Nikita Rane, Chong Wei Ho, Zhao Yuan Tan, Rachel Jing Min Ong, Chloe Teo, Jerall Yu, Maxine Lee, An Rae Teo, Sin Kee Ong, Xin Ying Lim, Jin Lin Kee, Jussi Keppo, Geoffrey Chern-Yee Tan

“…While some measures have proven robust in predicting depressive symptoms, their effectiveness can vary depending on the methodology used. …”
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Does Fetal Fibronectin Predict the Delivery Route in Nulliparous Women at Postterm Induced by Dinoprostone? by Hale Goksever Celik, Engin Celik, Gonca Yetkin Yildirim

“…Conclusion: Fetal fibronectin test has a predictive value for delivery route in nulliparous women at postterm. …”
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

“…Random Forest machine learning predicts high WHR with high accuracy, sensitivity and specificity. …”
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Reducing Judicial Inconsistency through AI: A Review of Legal Judgement Prediction Models by Wu Yifan

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