Flowering prediction of pear tree (Pyrus communis L.), apple tree (Malus domestica Borkh) and plum tree (Prunus domestica L.) - similarities and differences by Klemen BERGANT, Zalika ČREPINŠEK, Lučka KAJFEŽ-BOGATAJ

“…The multiple regression model for predicting the full flowering on the base of March and April temperatures have great disadvantage, because the predictions can be made in case of apple tree only 2 days ahead and in case of plum tree not even that. …”
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Time Series Modelling and Predictive Analytics for Sustainable Environmental Management—A Case Study in El Mar Menor (Spain) by Rosa Martínez, Ivan Felis, Mercedes Navarro, J. Carlos Sanz-González

“…Models such as SARIMA and LSTM stand out as valid for predicting the environmental patterns of the Mar Menor.…”
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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE by R. Suguna, J. Suriya Prakash, H. Aditya Pai, T. R. Mahesh, Venkatesan Vinoth Kumar, Temesgen Engida Yimer

Subjects: “…Churn prediction…”
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Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE by Assaad Kassem, Ahmed Sefelnasr, Abdel Azim Ebraheem, Luqman Ali, Faisal Baig, Mohsen Sherif

“…Model performance was assessed for both prediction and classification tasks. …”
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Feasibility of energy dispersive X-ray fluorescence for quantitative prediction of elemental profile in untreated bovine colostrum by D. Martini, M. De Marchi, A. Goi, M. Pozza, G. Niero

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Data-Driven Multiple ARIMA Through Neural Fusion for Enhanced Wind Power Prediction With Missing Data by Xiaoou Li, Wen Yu

“…These networks are engineered to: 1) learn and exploit intricate relationships between the predictions originating from different operational regimes, and 2) dynamically adapt its fusion strategy based on the availability of current data and the predicted reliability of each ARIMA model, effectively compensating for missing data points. …”
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An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19 by Wei Zou, Xiujuan Yao, Yizhen Chen, Xiaoqin Li, Jiandong Huang, Yong Zhang, Lin Yu, Baosong Xie

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Editorial: Preclinical animal models and measures of pain: improving predictive validity for analgesic drug development - volume II by Anke Tappe-Theodor, Thomas J. Martin, S. Stevens Negus

Subjects: “…animal models…”
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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

“…Therefore, on the basis of the dynamic monitoring model of water quality, the relevant factors affecting water quality were analyzed, and a prediction model of aquaculture water quality was constructed. …”
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Early prediction of survival at different time intervals in sepsis patients: A visualized prediction model with nomogram and observation study by Shih-Hong Chen, Yi-Chia Wang, Anne Chao, Chih-Min Liu, Ching-Tang Chiu, Ming-Jiuh Wang, Yu-Chang Yeh

“…A Cox proportional hazard model was used to analyze the survival data and determine significant risk factors to develop a prediction model. …”
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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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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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Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictAL study. by Michael King, Louise Marston, Igor Švab, Heidi-Ingrid Maaroos, Mirjam I Geerlings, Miguel Xavier, Vicente Benjamin, Francisco Torres-Gonzalez, Juan Angel Bellon-Saameno, Danica Rotar, Anu Aluoja, Sandra Saldivia, Bernardo Correa, Irwin Nazareth

“…We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers.…”
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Vehicle Stability Control Based on Model Predictive Control Considering the Changing Trend of Tire Force Over the Prediction Horizon by Shaosong Li, Guodong Wang, Bangcheng Zhang, Zhixin Yu, Gaojian Cui

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Can we predict hypoadrenocorticism in dogs with resting hypocortisolemia? A predictive model based on clinical, haematological, and biochemical variables by Nuno Sousa Santos, Tiago Dias Domingues, Antonio Maria Tardo, Marta Dinis, Luísa Mateus, Federico Fracassi, Rodolfo Oliveira Leal, Rodolfo Oliveira Leal

“…Descriptive analysis was performed along with a predictive model, using univariable and multivariable logistic regression analysis.ResultsOf the 92 included dogs, hypoadrenocorticism was diagnosed in 29 patients (32.2%) based on ACTHst results (HA group). …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…This study presents a novel high dimensional quadratic regression with penalty based predictive model for forecasting generation cost and selling price per unit in hydroelectric energy systems. …”
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