A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

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Prediction of Strength and Quality Control of Monolithic Concrete Laying in Structures with Permanent Formwork by D. N. Korotkih, D. Е. Kapustin

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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

Subjects: “…Diabetic Prediction…”
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Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China by Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang

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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

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Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients by Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao

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Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

Subjects: “…crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms.…”
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Environmental, socioeconomic, and sociocultural drivers of monkeypox transmission in the Democratic Republic of the Congo: a One Health perspective by Guangyu Lu, Zeyin Chong, Enyu Xu, Ce Na, Kaixuan Liu, Liying Chai, Pengpeng Xia, Kai Yang, Guoqiang Zhu, Jinkou Zhao, Olaf Müller

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Factors Indicating the Accuracy of Fetal Weight Estimation in Preterm Newborns with Normal Amniotic Fluid Volume by Onur Guralp, Nevin Tuten, Abdullah Tuten, Altay Gezer

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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

Subjects: “…Brain age prediction…”
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Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study by Chung-Yen Chen, Hung-Yu Lin, Pie-Wen Hsieh, Yi-Kai Huang, Po-Chin Yu, Jian-Han Chen

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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

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The predicted value for venous thromboembolism based on a modified model of caprini combined with fasting blood glucose and D-dimer: a retrospective study by Ping Wang, Yusi Yang, Lin Zheng, Xiaotong Qi, Sheng Yan, Honglin Dong

Subjects: “…Prediction model…”
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A plunger lifting optimization control method based on APSO-MPC for edge computing applications by Zhi Qiu, Lei Zhang, He Zhang, Haibo Liang, Yinxian Li

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Projected distribution patterns of Alpinia officinarum in China under future climate scenarios: insights from optimized Maxent and Biomod2 models by Yong Kang, Yong Kang, Fei Lin, Junmei Yin, Junmei Yin, Yongjie Han, Min Zhu, Yuhua Guo, Fenling Tang, Yamei Li

Subjects: “…species distribution prediction…”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

Subjects: “…Stock market price prediction…”
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Prediction of case types from non-searchable pdf documents in arabic: Comparison of machine learning and deep learning with image processing by El Arrasse Mouad, Khourdifi Youness, Mounir Soufyane, El Alami Alae

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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

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Gastric Precancerous Lesions: From Progenitor Cell and Microsatellite Instability to Clinical Interpretation of Gastric Cancer Risk by A. V. Kononov, V. A. Rubtsov, M. N. Parygina, A. G. Shimanskaya, S. I. Mozgovoi, E. G. Pomorgailo, M. V. Markelova, Yu. A. Fedotova

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