Development of regional mixed-effects height–diameter models for natural black pine stands by Ramazan Ozçelik, Onur Alkan

“…The findings suggest that the proposed model is highly suitable for forest inventory studies to predict tree heights in black pine stands.…”
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The current research status on building prediction models for rectal cancer based on imaging data using artificial intelligence by Zhang Tianshuai, Peng Zhiying, Jia Hang, Wen Rongbo, Zhou Leqi, Shen Fu, Yu Guanyu, Zhang Wei

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Investigating the Effect of Climatic Parameters Predicting the Mortality Rate Due to Cardiovascular and Respiratory Disease with Soft Computing Methods by Hamidreza Ghazvinian, Hojat Karami

“…It can be very important to accurately identify and predict with smart models in disease outbreaks and as a result in mortality statistics. …”
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Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models by Ramesh Venkatesh, Priyanka Gandhi, Ayushi Choudhary, Gaurang Sehgal, Kanika Godani, Shubham Darade, Rupal Kathare, Prathiba Hande, Vishma Prabhu, Jay Chhablani

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POVERTY MACRO SYSTEM DYNAMICS MODELING BASED ON SIMULTANEOUS EQUATIONS MODELS by Bagus Sumargo, Irman Firmansyah, Asep Anwar Nugraha, Mulyono Mulyono, Dania Siregar, Felia Aidah Nuriza

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Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics by Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler

“…It emphasizes the importance of linear multivariate statistical models, particularly autoregressive (AR) models and the Kalman filter, in time series modeling and prediction of cerebral processes. …”
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Advancing general ecosystem models (GEMs): Towards a mechanistic understanding of the biosphere in the light of the Anthropocene by Joachim Paul Töpper, Selwyn Hoeks, Florian Hartig, Anders Kolstad, Marlee A. Tucker, Jesamine Bartlett, Kim Magnus Bærum, Joseph Chipperfield, Michael Harfoot, Mark Antonius Jan Huijbregts, Jens‐Christian Svenning

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Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model by Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail

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Construction and Validation of Risk Scoring Model for Inadequate Bowel Preparation in Elderly Patients Undergoing Colonoscopy by Xu Y, Ou S, Yuan X, Yao J, Yang T

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Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning by Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu

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Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks by Fulong Yu, Chudi Sun, Liang Li, Xiaoyu Yu, Shumin Shen, Hao Qiang, Song Wang, Xianghua Li, Lin Zhang, Zhining Liu

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Eliminating Meteorological Dependencies in Solar Power Forecasting: A Deep Learning Solution With NeuralProphet and Real-World Data by Necati Aksoy, Alper Yilmaz, Gokay Bayrak, Mehmet Koc

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A comprehensive survey on customer churn analysis studies by Maryam Shahabikargar, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei

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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study by Shuang Cao, Sihan Yu, Liangbin Huang, Samuel Seery, Yu Xia, Yongwei Zhao, Zhongzhou Si, Xinxue Zhang, Jiqiao Zhu, Ren Lang, Jiantao Kou, Haiming Zhang, Lin Wei, Guangpeng Zhou, Liying Sun, Lei Wang, Ting Li, Qiang He, Zhijun Zhu

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Radiation-induced lung injury: from mechanism to prognosis and drug therapy by Sheng Wang, Duo Xu, Lingyan Xiao, Bo Liu, Xianglin Yuan

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Influence of rheological and fresh-state properties on formwork pressure of self-compacting concrete by Mouhcine Benaicha, Olivier Jalbaud, Xavier Roguiez, Adil Hafidi ALaoui, Yves Burtschell

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A scoping review of importation and predictive models related to vector-borne diseases, pathogens, reservoirs, or vectors (1999-2016). by Tara Sadeghieh, Lisa A Waddell, Victoria Ng, Alexandra Hall, Jan Sargeant

“…Mathematical and statistical models can be useful in predicting when and where these changes in distribution may happen. …”
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Correction: Simultaneous assessment of mitochondrial DNA copy number and nuclear epigenetic age towards predictive models of development and aging by Phyo W. Win, Julia Nguyen, Amanda L. Morin, Charles E. Newcomb, Shiva M. Singh, Noha Gomaa, Christina A. Castellani

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Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues by Troy J. Kieran, Xiangjie Sun, Taronna R. Maines, Jessica A. Belser

“…Interestingly, infectious virus in BnOB was detected at higher frequency and magnitude among IAV associated with high pathogenicity phenotypes in ferrets, more so than tissues from the respiratory tract; in agreement, BnOB was the highest relative ranked individual tissue specimen in predictive classification models. This study highlights the potential role of BnOB viral titers in assessing IAV pathogenicity in ferrets, and highlights the role ML approaches can contribute towards understanding the predictive benefit of in vivo-generated data in the context of pandemic risk assessment.…”
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Predictive models of recurrent implantation failure in patients receiving ART treatment based on clinical features and routine laboratory data by Qunying Fang, Zonghui Qiao, Lei Luo, Shun Bai, Min Chen, Xiangjun Zhang, Lu Zong, Xian-hong Tong, Li-min Wu

“…Summary answer A model was developed to predict RIF. The model showed high calibration in external validation, helped to identify risk factors for RIF, and improved the efficacy of ART therapy. …”
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