Enhancing Stroke Risk Prediction: Leveraging Machine Learning and Magnetic Resonance Imaging Data for Advanced Assessment by Pranav Kunderu, Salik Mian, Shivm Patel

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Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach by Gregorius Airlangga

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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

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Compilation and analysis of thaw settlement test results: implications for prediction tools and stress–strain characterization in permafrost by Z. Mohammadi, J. L. Hayley

“…Additionally, the compiled data were used to evaluate the effectiveness of various empirical tools developed to predict thaw strain from index properties. The predicted thaw strain values were compared with the measured thaw strains to determine which tool provided the most accurate and reliable predictions for each soil type. …”
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Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC by Yeonghun Lee, Sung-Hye Park, Hyunju Lee

“…In addition, we provide trained models for cancer Hi-C prediction from WGS at https://github.com/dmcb-gist/InfoHiC , uncovering the impacts of SVs in cancer patients and revealing novel therapeutic targets.…”
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Reducing Mesh Dependency in Dataset Generation for Machine Learning Prediction of Constitutive Parameters in Sheet Metal Forming by Dário Mitreiro, Pedro A. Prates, António Andrade-Campos

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Therapeutic dose prediction of α5-GABA receptor modulation from simulated EEG of depression severity. by Alexandre Guet-McCreight, Frank Mazza, Thomas D Prevot, Etienne Sibille, Etay Hay

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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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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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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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