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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The Effectiveness of Digital Animation–Based Multistage Education for Patients With Atrial Fibrillation Catheter Ablation: Randomized Clinical Trial by Xiaoyu Shi, Yijun Wang, Yuhong Wang, Jun Wang, Chen Peng, Siyi Cheng, Lingpeng Song, Rui Li, Fuding Guo, Zeyan Li, Shoupeng Duan, Xiaomeng Yang, Liping Zhou, Hong Jiang, Lilei Yu

“…This educational model effectively improves postoperative anxiety, depression, medication adherence, and quality of life in patients at 3 months post discharge. …”
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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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Keys to learning Physical Education during confinement (Claves para aprender Educación Física durante el confinamiento) by Sagrario Del Valle Díaz, Esther Cabanillas Cabanillas Cruz, Eduardo Villamil Cabello, Ricardo de la Vega Marcos

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Which novel teaching strategy is most recommended in medical education? A systematic review and network meta-analysis by Shuai-Long Zhang, Si-Jing Ren, Dong-Mei Zhu, Tian-Yao Liu, Lian Wang, Jing-Hui Zhao, Xiao-Tang Fan, Hong Gong

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Residents as learning facilitators inside and outside of interprofessional education: a faculty development program in postgraduate pediatric training by Philipp A. Müller, Christine Straub, Christine Straub, Andrea Heinzmann, Thorsten Langer, Sebastian F. N. Bode, Jan Griewatz, Christian Kimmig, Sebastian Friedrich

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Psychometric validation of the Physician Well-Being Index-Expanded (ePWBI) among physician educators in Hong Kong by Linda Chan, Paul Po Ling Chan, Xiaoai Shen, Emma Victoria Marianne Bilney, Tai Pong Lam, Julie Yun Chen, George L. Tipoe, Fraide A. Ganotice

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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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