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ORCIDHealth 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, Varun 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 - Yan He, Qian Luo, Hai Wang, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi:
Real-time estimated Sequential Organ Failure Assessment (SOFA) score with intervals: improved risk monitoring with estimated uncertainty in health condition for patients in intensive care units. 12 - Xiangyong Kong, Yanchen Cai, Yuwei Li, Ping Wang:
Causal relationship between apolipoprotein B and risk of atherosclerotic cardiovascular disease: a mendelian randomization analysis. 13 - Jong-Hoon Park, Young-Rae Cho:
Draw+: network-based computational drug repositioning with attention walking and noise filtering. 14 - Jun Yang, Qichen Wang, Xiaoxing Dong, Tao Shen:
Synergistic integration of brain networks and time-frequency multi-view feature for sleep stage classification. 15 - Yan Liu, Zhiyu Zhang, Huazhu Song, Renjie Li, Kaituo Mi:
An improved stacking model for predicting myocardial infarction risk in imbalanced data. 16 - Shicheng Wei, Wencheng Yang, Eugene Wang, Song Wang, Yan Li:
A 3D decoupling Alzheimer's disease prediction network based on structural MRI. 17 - Po Sheng Chen, Jasin Wong, Eva E. Chen, Arbee L. P. Chen:
Detecting autism in children through drawing characteristics using the visual-motor integration test. 18 - Hao Ren, Dongxiao Li, Fengshi Jing, Xinyue Zhang, Xingyuan Tian, Songlin Xie, Erfu Zhang, Ruining Wang, Han He, Yinpan He, Yake Xue, Chi Liu, Yu Sun, Weibin Cheng:
LASF: a local adaptive segmentation framework for coronary angiogram segments. 19 - Muniraj Gupta, Nidhi Verma, Naveen Sharma, Satyendra Narayan Singh, R. K. Brojen Singh, Saurabh Kumar Sharma:
Deep transfer learning hybrid techniques for precision in breast cancer tumor histopathology classification. 20 - B. Abinaya, M. Malleswaran:
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization. 21 - Umme Marzia Haque, Md. Enamul Kabir, Rasheda Khanam:
Insights into depression prediction, likelihood, and associations in children and adolescents: evidence from a 12-years study. 22 - Hakima Laribi, Nicolas Raymond, Ryeyan Taseen, Dan Poenaru, Martin Vallières:
Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk. 23 - José Alberto Benítez-Andrades, Camino Prada-García, Nicolás Ordás-Reyes, Marta Esteban Blanco, Alicia Merayo, Antonio Serrano-García:
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods. 24 - Jingyao Lu, Yang He, Guosheng Han, Li Zeng:
iAMP-CRA: Identifying Antimicrobial Peptides Using Convolutional Recurrent Neural Network with Self-Attention. 25 - Zhisheng Huang, Fazhan Chen, Xudong Zhao:
Towards cognition-emotion-behaviour models of nonsuicidal self-injury: a knowledge graph approach. 26 - Zuojing Zhang, Zhi Qiao, Linbin Han, Hong Yang, Zhen Qian, Jingxiang Wu:
Hyperbolic vision language representation learning on chest radiology images. 27 - Farman Ali, Abdullah Almuhaimeed, Wajdi Alghamdi, Haya Aldossary, Othman Asiry, Atef Masmoudi:
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery. 28 - Aihua Li, Sifan Chen, Jianbing Liu, Ting Chen, Yong Shi:
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools. 29 - Indu Dokare, Sudha Gupta:
Optimized seizure detection leveraging band-specific insights from limited EEG channels. 30 - Wen Zheng, Zhongji Li, Yuanyuan Chen, Wenjia Liao, Lei Deng, Hao Zhang, Yanmei Lin, Yuzhong Peng:
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming. 31
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