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ICMHI 2024: Yokohama, Japan
- Proceedings of the 2024 8th International Conference on Medical and Health Informatics, ICMHI 2024, Yokohama, Japan, May 17-19, 2024. ACM 2024, ISBN 979-8-4007-1687-4
Session 1 - Medical Imaging and Biomedical Image Processing
- Vahdaneh Kiani
, Oliver Jäkel
CLAIRE-ROP: Rapid Partitioning-based Deformable Image Registration on Multi-GPU Accelerator. 1-12 - Ai-Hsien Adams Li
Lung Nodule Analysis in CT Images: Deep Learning for Segmentation and Measurement. 13-17 - Yu-Wen Chen
Tumor segmentation of breast tomosynthesis in breast-conserving surgery with deep learning. 18-23 - Bishwa Karki
Interpretable Classification of Myositis from Muscle Ultrasound Images. 24-29 - Kang-Syuan Peng
Constructing Coronary Artery Vessel Segmentation Based on Deep Learning Models and Image Processing. 30-40 - Sungho Shim
Comparison of self-supervised learning methods for optical coherence tomography image classification. 41-46 - Yi-Xiang Chen
Base on GAN Combined with CNN Architecture to Generate Brain Stroke CT Images. 47-51 - Namya Musthafa
Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet. 52-57 - Prince Ebenezer Adjei
Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction. 58-64 - Chia-Pin Yi
Constructing an Automated Method for Interpreting Alzheimer's Disease Based on Deep Learning Models and Image Processing. 65-72 - Jun-Ci Chen
Using Virtual Reality Technologies to Cope with Grief and Emotional Resilience of Absent Loved Ones. 73-77 - Hsien-Cheng Huang
Development of Automated Detection Methods for Calculating Blood Vessel Width and Stenosis Rate in Cardiac Catheterization Imaging. 78-83
Session 2 - Digital Healthcare Services and Mobile Healthcare Applications
- Shu-Han Tang
Personalized Exercise Prescription Recommendation for Type 2 Diabetes Patients. 84-89 - Zain Magdon-Ismail
Prototyping an Information System to Address Geographic Disparities in Cardiac Rehabilitation Access in the United States. 90-96 - Maria Tsirintani
Challenges of the Healthcare Systems in promoting eHealth services during pandemic of Covid-19. 97-101 - Shin-Ming Cheng
A Highly Scalable Automated Universal Binary Malware Analysis Framework for Healthcare and Medical SaaS. 102-107 - Yae Won Tak
Survival Analysis of mHealth App Engagement among Cancer Patients. 108-111 - Shanhong Li
DRDTx: A digital evidence artifacts framework for diabetic retinopathy management. 112-115 - Shu-Fen Tseng
Demographic differences in telemedicine adoption during the COVID-19 pandemic in Taiwan. 116-119 - Philip Hong Wei Jiang
System Integration Framework for Implementing a Machine Learning-Driven Clinical Decision Support System in Emergency Departments. 120-126 - Hung-Hsuan Chung
An Integrated Rehabilitation APP for Stroke Patients. 127-132 - Pedro Reisinho
Interactive Narrative in Virtual Reminiscence Therapy to Stimulate Memory and Communication in People with Dementia. 133-137
Session 3 - Biomedical Signal Processing and Bioinformatics
- ManChin Chen
Atrial Fibrillation Detection in Single-Lead ECG Signals: A Comparative Study of CNN with LSTM and Residual Neural Network Models. 138-142 - Vikhyat Agrawal
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. 143-152 - Chu-Hui Lee
Apply 2D convolution kernels on EEGNet to improve classification accuracy. 153-157 - Aya Nour
Differential Methylation Analysis in Normal Breast Tissue Contralateral to Tumour Reveals PROM1 As a Potential Prognostic Biomarker. 158-163 - Yuan Ma
Quantifying Consciousness for Alzheimer's Disease Diagnosis through Electroencephalogram Processing. 164-168 - Purevdolgor Luvsantseren
Stability Analysis of Dynamic P53-MDM2 with Time Delay. 169-174 - Hend Ghassan Eldous
In Silico Analysis of Pathogenic Missense Mutation in GBA protein for Gaucher Disease. 175-180 - Yuanhua Hung
Discovering new biomarkers of primary liver cancer by establishing an mRNA-miRNA-lncRNA network. 181-185
Session 4 - Computer-Aided Diagnosis and Computational Models for Disease Prediction
- Abdel Rahman Alsaify
The Use of Deep Learning in the Diagnosis and Prediction of Heart Failure: A scoping review. 186-192 - Li-Ting Lo
Constructing a Segmentation Model for Patients with Leukoaraiosis Using Deep Learning Algorithms. 193-199 - Shumei Miao
A Post-structured Analysis of Chinese Thyroid Ultrasound Report Based on Natural Language Processing Technology and TI-RADS Mode. 200-204 - Yu-Ju Huang
Predicting Types of Urinary Crystals and Diameter Using Image Processing Techniques and Deep Learning Models. 205-211 - Moomal Farhad
Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis. 212-218 - Shih-Huan Lin
Based on deep feature extraction non-invasive bladder cancer prediction system. 219-223
Session 5 - Intelligent Models and Statistical Analysis for Medical Data Processing and Medical Resource Allocation
- Nina Hosseini-Kivanani
Ink of Insight: Data Augmentation for Dementia Screening through Handwriting Analysis. 224-229 - Arti Devi
Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency. 230-237 - Hao-Ting Pai
The Explainable Analytics for Exploring Misdiagnoses. 238-243 - Chin-Feng Lee
Dual Medical-Image Reversible Data Embedding Method with Vector Directions. 244-250 - Andrea Fidecicchi
Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset. 251-255 - Ruiming Li
BARToM: a Transformer-based approach for multimodal electronic health records transformation. 256-261 - Li-Chin Chen
Prognosticating Lumbar Spinal Surgery Outcomes for Low Back Pain and Sciatica Patients by Utilizing Preoperative Assessments from Western and Eastern Medicine and Multimodal Fusion Learning Techniques. 262-267 - Teresa Angela Trunfio
The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. 268-274 - Chin-Feng Lee
The Study of Reversible Data Hiding with Contrast Enhancement for Medical Images. 275-280 - Frank Shou-Cheng Tseng
Temporal Data Processing: Problems, Realities and Perspectives - A Practical Look. 281-285 - Ying Zhang
Impact Analysis of Tiered Healthcare Based on Tripartite Evolutionary Game. 286-290 - Arianna Scala
Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. 291-297
Session 6 - Epidemiological Modeling and Information Epidemiology
- Chinmayee Rayguru
Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE. 298-303 - James Xinjing Liu
Cholera Outbreak Analysis in Sub-Saharan Africa. 304-310 - Jarne Verhaeghe
Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients. 311-317 - Yuchen Wang
Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network. 318-324 - David Fong
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. 325-331 - Wenbo Li
The Effect of Group Affiliation Motive on Unethical Behaviors: A Moderated Mediation Model. 332-337
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