Machine learning classification of chronic traumatic brain injury using diffusion tensor imaging and NODDI: A replication and extension study by J. Michael Maurer, Keith A. Harenski, Subhadip Paul, Victor M. Vergara, David D. Stephenson, Aparna R. Gullapalli, Nathaniel E. Anderson, Gerard J.B. Clarke, Prashanth K. Nyalakanti, Carla L. Harenski, Jean Decety, Andrew R. Mayer, David B. Arciniegas, Vince D. Calhoun, Todd B. Parrish, Kent A. Kiehl

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Time series analysis of energy usage patterns by Tanzania large power users by Diana Rwegasira, Edward Ngailo, Elimboto Yohana, Noel Masasi

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Analyzing Student Graduation and Dropout Patterns Using Artificial Intelligence and Survival Strategies by Behrouz Alefy, Vahid Babazadeh

“…The study applies state-of-the-art machine learning techniques to establish dominant patterns and offer forecasts using a wide range of student records. …”
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Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients by Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul

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Pacing Patterns of Half-Marathon Runners: An analysis of ten years of results from Gothenburg Half Marathon by Johansson Moa, Atterfors Johan, Lamm Johan

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Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

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Spatial-temporal distribution patterns change of grassland formation in Inner Mongolia since the 1980s by Anan Zhang, Jiakui Tang, Na Zhang, Xuefeng Xu, Wuhua Wang, Xiaofan Li, Maojin Li, Kaihui Li, Mengquan Wu, Shuohao Cai

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Tertiary lymphoid structures-driven immune infiltration patterns and their association with survival in neuroblastoma by Xuelian Liu, Jian Deng, Bingqing Yu, Jiaxiong Tan, Xiaoliang Lu, Minmin Zhang

“…We also studied immune infiltration and gene expression patterns in NB tissues using single-cell sequencing and quantitative real-time polymerase chain reaction (qRT-PCR). …”
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning. by Eric Wang, Igor Shuryak, David J Brenner

“…This study improves current knowledge of cancer and non-cancer mortality patterns from densely-ionizing radiation in mammals by using machine learning to analyze combined historical data on dogs exposed to different radionuclides, modeling multiple variables, nonlinear dependencies, and causal relationships.…”
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Dynamic Lactate Clearance Patterns During Normothermic Machine Perfusion Predict Posttransplant Biliary Complications in Donation After Circulatory Death Liver Transplantation by Ayato Obana, MD, Miho Akabane, MD, Hannah Chi, MD, Nolan Ladd, MD, Andrew Nguyen, BA, Lin Abigail Tan, BS, Rithin Punjala, MBBS, Kejal Shah, MD, Matthew Hamilton, DO, Ashley Limkemann, MD, MPH, Navdeep Singh, MBBS, Musab Alebrahim, MD, Khalid Mumtaz, MBBS, Austin Schenk, MD, PhD, Sylvester Black, MD, PhD, Kenneth Washburn, MD

“…Background. Normothermic machine perfusion (NMP) enables real-time assessment of liver graft viability through various biomarkers. …”
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning by Eric Wang, Igor Shuryak, David J. Brenner

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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…This study used Louvain and machine learning algorithm for CMM pattern detection. …”
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Multi-level ecological restoration zoning in Sanmenxia City: A patterns-ecosystems-humans perspective by Guangjin Zhou, Yizhong Huan, Qijia Lou, Tao Liang, Zhiguang Shi, Xiaoman Liu, Siyuan Tao, Riqi Zhang, Jixi Gao, Yiping Zuo

“…First-level zones were initially delineated based on the natural geographical pattern and the provincial ecological restoration zoning plan. …”
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Analysis of Demographic, Familial, and Social Determinants of Smoking Behavior Using Machine Learning Methods by Joanna Chwał, Małgorzata Kostka, Paweł Stanisław Kostka, Radosław Dzik, Anna Filipowska, Rafał Jan Doniec

“…Additionally, this study highlights the potential of machine learning in behavioral research, demonstrating its utility in identifying and predicting smoking-related patterns.…”
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Pattern analysis using lower body human walking data to identify the gaitprint by Tyler M. Wiles, Seung Kyeom Kim, Nick Stergiou, Aaron D. Likens

“…A total of 18 trials per participant were completed between two days, one week apart. Four methods of pattern analysis, a) Euclidean distance, b) cosine similarity, c) random forest, and d) support vector machine, were applied to our basic spatiotemporal variables such as step and stride lengths to accurately identify people. …”
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Person identification using novel local triangular binary pattern-based texture descriptor by Arti Tekade, T. Vijayan, B. Karthik, Anurag Mahajan

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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

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3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

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