Evidence-based dust exposure prediction and/or control tools in occupational settings: A scoping review protocol. by Gebisa Guyasa Kabito, Yonatal Tefera, Chandnee Ramkissoon, Sharyn Gaskin

“…In recent decades, evidence-based tools supporting exposure modelling and control banding have been developed to aid in predicting and/or controlling occupational exposure to various contaminants. …”
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Machine learning for outcome prediction in patients with non-valvular atrial fibrillation from the GLORIA-AF registry by Martha Joddrell, Wahbi El-Bouri, Stephanie L. Harrison, Menno V. Huisman, Gregory Y. H. Lip, Yalin Zheng, GLORIA-AFinvestigators

“…Abstract Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest predictive value. …”
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Machine Learning-Driven Prediction of Offshore Vessel Detention: The Role of Neural Networks in Port State Control by Zlatko Boko, Tatjana Stanivuk, Nenad Radanović, Ivica Skoko

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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

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From rings to regions: modeling and mapping climate-driven timber production zones for Cyclocarya paliurus by integrating niche models and growth traits by Zijie Zhang, Zijie Zhang, Zhengyang Ye, Xulan Shang, Xulan Shang, Wanxia Yang, Wanxia Yang, Tongli Wang, Shengzuo Fang, Shengzuo Fang

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Remote Sensing Perspective on Monitoring and Predicting Underground Energy Sources Storage Environmental Impacts: Literature Review by Aleksandra Kaczmarek, Jan Blachowski

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Innovation indicators based on firm websites-Which website characteristics predict firm-level innovation activity? by Janna Axenbeck, Patrick Breithaupt

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Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke by Ethan Phillips, Odhran O’Donoghue, Yumeng Zhang, Panos Tsimpos, Leigh Ann Mallinger, Stefanos Chatzidakis, Jack Pohlmann, Yili Du, Ivy Kim, Jonathan Song, Benjamin Brush, Stelios Smirnakis, Charlene J. Ong, Agni Orfanoudaki

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Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers by Victor Chang, Sharuga Sivakulasingam, Hai Wang, Siu Tung Wong, Meghana Ashok Ganatra, Jiabin Luo

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Predicting Resistance to Immunotherapy in Melanoma, Glioblastoma, Renal, Stomach and Bladder Cancers by Machine Learning on Immune Profiles by Guillaume Mestrallet

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Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors by Ana González-Castro, José Alberto Benítez-Andrades, Rubén González-González, Camino Prada-García, Raquel Leirós-Rodríguez

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Identification of core therapeutic targets for Monkeypox virus and repurposing potential of drugs: A WEB prediction approach. by Huaichuan Duan, Quanshan Shi, Xinru Yue, Zelan Zhang, Ling Liu, Yueteng Wang, Yujie Cao, Zuoxin Ou, Li Liang, Jianping Hu, Hubing Shi

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Evaluation of energy and protein intake and prediction of growth performance of growing-finishing pigs based on meta-analysis by DI Hanqiu, WANG Shanshan, ZHONG Yifan, CHEN Bin, WANG Haifeng

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Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations by Diego Valderrama, Olga Teplytska, Luca Marie Koltermann, Elena Trunz, Eduard Schmulenson, Achim Fritsch, Ulrich Jaehde, Holger Fröhlich

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Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction by Bahram Shahri, Ali Tajik, Mohsen Moohebati, Vahid Mahdavizadeh

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Predicting Type 2 diabetes onset age using machine learning: A case study in KSA. by Faten Al-Hussein, Laleh Tafakori, Mali Abdollahian, Khalid Al-Shali, Ahmed Al-Hejin

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Maximum Dry Unit Weight and Optimum Moisture Content Prediction of Lateritic Soils Using Regression Analysis by Yufeng Qian

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Predicting the Pathway Involvement of All Pathway and Associated Compound Entries Defined in the Kyoto Encyclopedia of Genes and Genomes by Erik D. Huckvale, Hunter N. B. Moseley

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Prediction of suicidal ideation and attempt in 9 and 10 year-old children using transdiagnostic risk features. by Gareth Harman, Dakota Kliamovich, Angelica M Morales, Sydney Gilbert, Deanna M Barch, Michael A Mooney, Sarah W Feldstein Ewing, Damien A Fair, Bonnie J Nagel

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Preoperative multiparameter MRI‐based prediction of Ki‐67 expression in primary central nervous system lymphoma by Jian Xu, Lili Zhang, Qingzeng Liu, Jian Zhu

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