Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics by Andrew Cwiek, Sarah M. Rajtmajer, Bradley Wyble, Vasant Honavar, Emily Grossner, Frank G. Hillary

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Depth prediction of urban waterlogging based on BiTCN-GRU modeling. by Quan Wang, Mingjie Tang, Pei Shi

“…Compared to models such as GBDT, LSTM, and TCN-LSTM, the BiTCN-GRU model exhibits higher accuracy in predicting waterlogging depth. …”
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Local Differential Privacy Graph Data Modeling Method for Link Prediction by HANQilong, WUXiaoming

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A lightweight hybrid model for accurate ammonia prediction in pig houses by Jacqueline Musabimana, Qiuju Xie, Hong Zhou, Ping Zheng, Honggui Liu, Tiemin Ma, Jiming Liu

“…The model improves accuracy compared to other state-of-the-art and ability for NH3 prediction.…”
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Risk Factors for Digital Replantation Failure: A Nomogram Prediction Model by Guo T, Ma T, Gao R, Yu K, Bai J

“…Then, we constructed a nomogram prediction model with 0.7538 in AUC of the prediction model with good consistency in the correction curve and good clinical practicality by decision curve analysis.Conclusion: The level of D-dimer and CRP was found to be closely related to DN. …”
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TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

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LOGISTIC AND PROBIT REGRESSION MODELING TO PREDICT THE OPPORTUNITIES OF DIABETES IN PROSPECTIVE ATHLETES by Danang Ariyanto, A'yunin Sofro, A’idah Nur Hanifah, Junaidi Budi Prihanto, Dimas Avian Maulana, Riska Wahyu Romadhonia

“…This study aimed to develop an early prediction model for diabetes in prospective athletic candidates using a bivariate logistic and probit regression approach while considering the influence of socio-demographic and anthropometric factors. …”
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Lifestyle factors and colorectal cancer prediction: A nomogram-based model by Wooin Seo, Se Young Jung, Yeonhoon Jang, Kiheon Lee

“…This study developed and validated an age-based CRC risk-prediction model incorporating lifestyle factors using the National Health Insurance Service (NHIS)-National Sample Cohort database. …”
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Collaborative multiview time series modeling for vehicle maintenance demand prediction by Fanghua Chen, Deguang Shang, Gang Zhou, Ke Ye, Fujie Ren, Guofang Wu

“…To address these challenges, we propose an innovative method for predicting vehicle all maintenance demands based on collaborative multiview time series modeling. …”
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Cellular automata model based power network attack prediction technology by Lijuan YE, Yiting WANG, Licheng ZHU

Subjects: “…cellular automata;power network;attack probability;network information;prediction model…”
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Development of Ensemble Tree Models for Generalized Blood Glucose Level Prediction by Aashima, Shashank Bhargav, Shruti Kaushik, Varun Dutt

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Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots by Zhizhen Liu, Hong Chen, Yan Li, Qi Zhang

“…In this study, we detected hotspots and proposed three methods to predict the taxi demand in hotspots. Next, we compared the predictive effect of the random forest model (RFM), ridge regression model (RRM), and combination forecasting model (CFM). …”
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Modeling the Impact of Climate Change on Soil Health Using Predictive Analytics by Alsalami Zaid, Mandapati A. H. A. Hussein, Sundari Venkata Rama

“…To answer the problem of soil degradation under climate stress, this research develops and evaluates predictive models capable of predicting soil health indicators. …”
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Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models by Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Pedro Silva de Freitas Sousa, Lucas de Paula Miranda, Saulo de Oliveira Folharini, Eduardo Siegle

“…Ultimately, incorporating geomorphological variables into predictive models enhances understanding of MPs deposition, providing a foundation for environmental policies focused on marine pollution mitigation and coastal ecosystem conservation while also contributing to achieve SDG 14.…”
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SOIL MOISTURE PREDICTION MODEL IN PEATLAND USING RANDOM FOREST REGRESSOR by Helda Yunita Taihuttu, Imas Sukaesih Sitanggang, Lailan Syaufina

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Artificial intelligence and numerical weather prediction models: A technical survey by Muhammad Waqas, Usa Wannasingha Humphries, Bunthid Chueasa, Angkool Wangwongchai

“…Can artificial intelligence (AI) models beat traditional numerical weather prediction (NWP) models based on physical principles? …”
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Development and Validation of an Incident Hypertension Risk Prediction Model for Young Adults by Jaejin An, Heidi Fischer, Liang Ni, Mengying Xia, Soon Kyu Choi, Kerresa L. Morrissette, Rong Wei, Kristi Reynolds, Paul Muntner, Lisandro D. Colantonio, Andrew E. Moran, Brandon K. Bellows, Monika M. Safford, Norrina B. Allen, Vanessa Xanthakis, Carmen R. Isasi, Linda C. Gallo, Krista M. Perreira, Yiyi Zhang

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A morphometric model to predict the sex of virginia rails (Rallus limicola) by Auriel M.V. Fournier, Mark C. Sheildcastle, Anthony C. Fries, Joseph K. Bump

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A human behavior-based model for respiratory infectious diseases prediction by Zhengwen Ma, Min Zhu, Chen Zhi, Huaguo Zhang, Minye Li, Nan Zhang, Hui Ma, Hui Ma

“…ObjectivesThe research aims to develop a human behavior-based model to predict respiratory infectious diseases.MethodsThis research employs semi-supervised machine learning techniques in conjunction with an RGB-depth camera to collect micro-level data. …”
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Number of Publications on New Clinical Prediction Models: A Bibliometric Review by Banafsheh Arshi, Laure Wynants, Eline Rijnhart, Kelly Reeve, Laura Elizabeth Cowley, Luc J Smits

“… Abstract BackgroundConcerns have been expressed about the abundance of new clinical prediction models (CPMs) proposed in the literature. …”
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