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Health Information Science and Systems, Volume 13
Volume 13, Number 1, December 2025
- Masoud Khani, Jake Luo
, Mohammad Assadi Shalmani, Amirsajjad Taleban, Jazzmyne Adams, David Friedland:
Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment. 1 - Ekta Gupta
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification. 2 - Muhab Hariri, Ahmet Aydin, Osman Sibiç, Erkan Somuncu, Serhan Yilmaz, Süleyman Sönmez, Ercan Avsar:
LesionScanNet: dual-path convolutional neural network for acute appendicitis diagnosis. 3 - Wei Dai, Sifan Pang, Zhichen He, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution. 4 - Yajie Wang, Yu Fu:
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer. 5 - Mengkun Gan, Weijie Xie, Xiaocong Tan, Wenhui Wang:
Coronary artery segmentation framework based on three types of U-Net and voting ensembles. 6 - Dandan Peng, Le Sun, Qian Zhou, Yanchun Zhang:
AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review. 7 - Ekta Gupta, Varun Gupta:
Correction: Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification. 8 - Sarmad Maqsood, Robertas Damasevicius, Rytis Maskeliunas, Nils D. Forkert, Shahab Haider, Shahid Latif:
Csec-net: a novel deep features fusion and entropy-controlled firefly feature selection framework for leukemia classification. 9 - Hao-Ting Wu, Chien-Chang Liao, Chiung-Fang Peng, Tso-Ying Lee, Pei-Hung Liao:
Exploring the application of machine learning to identify the correlations between phthalate esters and disease: enhancing nursing assessments. 10 - Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Caetano Traina, Agma J. M. Traina:
DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images. 11
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