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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 - Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore:
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches. 32 - Changda Li, Yan Yan, Wenjun Lin, Yue Zhang:
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data. 33 - Pinar Karadayi Atas:
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases. 34 - Óscar Escudero-Arnanz, Sergio Martínez-Agüero, Paula Martín-Palomeque, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series. 35 - Rafael Pastor Vargas, Cristina Antón-Munárriz, Juan Mario Haut, Antonio Robles-Gómez, Mercedes Eugenia Paoletti, José Alberto Benítez-Andrades:
Cerebral ischemia detection using deep learning techniques. 36 - Abdullah Sener, Burhan Ergen:
Automatic detection of gastrointestinal system abnormalities using deep learning-based segmentation and classification methods. 37 - Tom Bisson, Michael Franz, Tim-Rasmus Kiehl, Peter Boor, Peter Hufnagl, Norman Zerbe:
A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology. 38 - Abdullah Eid, Musa Aydin, Zeki Kus:
Multi-teacher based knowledge distillation for retinal vessel segmentation. 39 - Pillai Lekshmi Ashokan, S. Siva Sathya, Santhosh Satheesh:
CnnBoost: a multilevel explainable stacked ensemble framework for effective detection of Myocardial Infarction from 12-lead ECG images using a transformational approach. 40 - Sohaib Asif, Fazal Hadi:
JuryFusionNet: a Condorcet's jury theorem-based CNN ensemble for enhanced monkeypox detection from skin lesion images. 41 - Yanggang Hong:
The role of mitochondria-related proteins in inflammation and autoimmune diseases: a causal analysis using Mendelian randomization and colocalization. 42 - Yunlong Li, Pengcheng Wu, Aoze Zheng, Yuting Li, Hongying Zan, Kunli Zhang:
UniMRE: a unified framework for zero-shot medicial relation extraction with large language models. 43 - Md. Shaheenur Islam Sumon, Md. Sakib Bin Islam, Md. Sohanur Rahman, Md Sakib Abrar Hossain, Amith Khandakar, Anwarul Hasan, M. Murugappan, Muhammad E. H. Chowdhury:
CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data. 44 - Jing Wang, Wenbo Zhao, Jiahao Ding, Yang Li:
The effect of physical activity on anti-infection immunity: a review. 45 - Andac Imak, Gürkan Dogan, Abdulkadir Sengür, Burhan Ergen:
HASK-Net: new hybrid attention selective kernel network for automatic colon cancer detection from colonoscopy images. 46 - Hossam Magdy Balaha, Rawan Ayman Ahmed, Magdy Hassan Balaha:
LDD-VTS: an AI-based framework for lung disease diagnosis using vision transformers and SHAP. 47 - Jiaying Xi, Shaojie Dong, Haoquan Zhou, Yunbo Zhao:
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment. 48 - Tao Sha, Hao Jiang, Lin Bai:
An interpretable machine learning model for predicting sepsis-induced cardiomyopathy in ICU patients: development and validation using the MIMIC-IV database. 49 - Yulang Feng, Tianshu Zhou, Yu Tian, Chengkai Wu, Jianda Wang, Jianhua Feng, Jingsong Li:
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network. 50 - Qi Liu, Dan-dan Xu, Peng Yang, Quanquan Liu, Shuai-shuai Xia, Miao Zhang, Ya-yun Li, Chunbao Wang, Qing-hua Peng:
The contrastive learning method in tongue image representation learning and its significance in intelligent diagnosis. 51 - Vítor Marcelo Soares Campos, Tiago Paiva Prudente, Luana Lemos Leão, Maurício Silva da Costa, Henrique Nunes Pereira Oliva, Renato Sobral Monteiro-Junior:
Analyses of different prescriptions for health using artificial intelligence: a critical approach based on the international guidelines of health institutions. 52 - Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu:
Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics. 53 - Jamie Canderan, Moses Stamboulian, Yuzhen Ye:
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence. 54 - Yining Qian, Qingjie Wang, Libang Yin, An-Yang Lu:
CF-DTI: coarse-to-fine feature extraction for enhanced drug-target interaction prediction. 55 - Jianghong Zhu, Zhenwen Zhang, Zepeng Li, Bin Hu:
Integrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media. 56 - Fatemeh Taheri, Kambiz Rahbar:
Introduction of hierarchical deep features based on the VGG-16 model for enhancing diabetic retinopathy classification. 57 - Aqib Nazir Mir, Danish Raza Rizvi, Iqra Nissar:
Enhancing medical image report generation using a self-boosting multimodal alignment framework. 58 - Brooke Scardino, Akshat Agrawal, Diensn G. Xing, Jackson L. St. Pierre, Md. Mostafizur Rahman Bhuiyan, Kanon Kamronnaher, Md. Shenuarin Bhuiyan, Oren Rom, Steven A. Conrad, John A. Vanchiere, A. Wayne Orr, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan:
Clustering environmental pollutants associated with increased risk of metabolic disease: a hierarchical analysis. 59
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