A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

“…<i>Background:</i> This paper proposes a framework to cope with the lack of data at the time of a disaster by employing predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of the affected countries. …”
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Developing a comprehensive malnutrition prediction model for the elderly in nursing homes by Yan Wu, Wei Tan, Wenlong Yi, Yujuan Chen

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A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses by Jian Liu, Zhuqing Zhang, Bin Lyu, Rui Feng, Ye He

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How spatial scales enhance prediction: an interpretable multi-scale framework for bike-sharing demand prediction by Jiasong Zhu, Jingbiao Chen, Mingxiao Li, Wei Tu

Subjects: “…Bike-sharing demand prediction…”
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Prediction of antiarrhythmic therapy effectiveness in children by L. I. Svintsova, O. Yu. Dzhaffarova, I. V. Plotnikova

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A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models by J. C. Vogeler, W. B. Cohen

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School-level prediction and management of myopia in children and adolescents by Shengsong Xu, Linling Li, Yingting Zhu, Zhenbang Ruan, Yiwen Qu, Zhuandi Zhou, Yin Hu, Zhidong Li, Fei Hou, Xiaohua Zhuo, Yunxia Leng, Xuelin Huang, Yamei Lu, Zhirong Wang, Shuifeng Deng, Yehong Zhuo, Guoming Zhang, Min Fu, Xiao Yang

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Nomogram for predicting mortality in hospitalized patients with infective endocarditis by Yuqiong An, Xiaojuan Wang, Zhen Wang, Kundi Chen, Fang Nie

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Development and validation of a gut motility based model for predicting bowel preparation quality by Hongjiao Wu, Rui Wu, Yunyun Zhang, Xinyi Lu, Wei Zhao, Biyun Xu, Jun Liu, Nina Zhang

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Construction and validation of a prognostic prediction model for osteosarcoma in children based on the SEER database by ZHANG Lei, LI Yuwan, WU Yindan, XU Zhi, SHAO Jinfu

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Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining by Suhua Zhou, Wenjie Han, Minghua Huang, Zhiwen Xu, Jinfeng Li, Jiuchang Zhang

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Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data by Yuan Jiang, Fei Yan

“…Considering the complex relationship between dissolved oxygen and water quality, combined with principal component analysis, a PCA-BP (principal component analysis back propagation) water quality prediction model was proposed. The parameters of PCA-BP water quality prediction model were optimized by genetic algorithm, the threshold and weight of BP neural network were determined, and an improved PCA-BP water quality prediction model was constructed. …”
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Evaluating predictive performance, validity, and applicability of machine learning models for predicting HIV treatment interruption: a systematic review by Williams Kwarah, Frances Baaba da-Costa Vroom, Duah Dwomoh, Samuel Bosomprah

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The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors by Zhenjing Wu, Min Qi, Weiling Zhang, Xudong Zhang, Qiang Yang, Wenyuan Zhao, Bin Yang, Zhihan Lyu, Faming Wang, Zhichao Wang

Subjects: “…load prediction…”
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Predicting Functional Decline in Geriatric Abdominal Surgery Patients: Unveiling Incidence, Risk Factors, and Innovative Predictive Models in Thailand by Poungkaew Thitisakulchai, Arunotai Siriussawakul, Sunit Jarungjitaree, Nipaporn Sangarunakul, Piyapat Dajpratham

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Evaluating SORT and ACS NSQIP risk prediction models: assessing predictive accuracy for mortality in high-risk colorectal patients by Jessica Quimpo, Joelle Wong, Kyle Lam, Sundar Ashok

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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts by Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

“…Of the 8 algorithms, the Gradient Boosting model showed the most favorable predictive accuracy. …”
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A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction by Zhuangzhuang Jiang, Dongjuan Xu, Hongfei Li, Xiaolan Wu, Yuan Fang, Chen Lou

“…Background and aimThis study aimed to develop a predictive model for early neurological deterioration (END) in branch atheromatous disease (BAD) affecting the lenticulostriate artery (LSA) territory using machine learning. …”
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Combining biomarkers to construct a novel predictive model for predicting preoperative lymph node metastasis in early gastric cancer by Yujian He, Xiaoli Xie, Bingxue Yang, Xiaoxu Jin, Zhijie Feng

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A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…The C-index and the mean prediction error of the cross validation are better than the static RMST model. …”
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