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Computer and information sciences

Digital health technologies in pain management for patients with endometriosis: A scoping review

Xinrui Wang, Hongyan Wang

SCEAF-UNet: Medical image segmentation based on spatial-channel feature enhancement and adaptive fusion

Lingyun Zhao, Yanping Chen, Chao Wang, Yang Yu

From habit to high risk: The influence of multidimensional lifestyle changes on internet addiction risk among junior high school students and its predictive utility

Xinwei Yu, Li Zhang, [ ... ], Xiaopeng Deng

Modeling diarrhea in children under five in Somaliland: A machine learning analysis using SLDHS 2020 data

Yahye Hassan Muse, Mukhtar Abdi Hassan, [ ... ], Hodo Abdikarim

International Delphi consensus on acute kidney injury: Foundations for AI-driven digital twin development in critical care nephrology

Mehdi Kashani, Jacob Ninan, [ ... ], Kianoush Kashani

A two-dimensional framework for profiling online reviewer behavior

Luisa Stracqualursi, Patrizia Agati

DRFC: An efficient cloud-based feature reduction and clustering algorithm for agricultural product and remote-sensing imagery

Xiao Fu, Yuanyuan Xu

Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China

Yimin Zhang, Zheng Liu, [ ... ], Xiaorui Zhang

Man vs. machine: Multi-country experimental evidence on the quality and perceptions of AI-generated research blog content

Michael Keenan, Naureen Karachiwalla, [ ... ], MinAh Kim

Two-way FDI and corporate total factor productivity--moderating role of environmental information disclosure quality

Yu Duan, Yutong Ruan

LightTrack-ReID: A lightweight and occlusion-robust framework for multi-object tracking

Said Baz Jahfar Khan, Peng Zhang, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

Agilik@home: A randomized controlled trial protocol to evaluate the effects of home-based training with the Agilik powered KAFO in children with cerebral palsy and crouch gait

Roberta Nossa, Fabio Alexander Storm, [ ... ], on behalf of the Agilik@home Study Group

Development and validation of a prediction model for long-term cognitive frailty risk in stroke patients based on CHARLS data

Shunli Zuo, Ning Liu, [ ... ], Yuyang Jia

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