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ORCIDHealthCom 2024: Nara, Japan
- IEEE International Conference on E-health Networking, Application & Services, HealthCom 2024, Nara, Japan, November 18-20, 2024. IEEE 2024, ISBN 979-8-3503-5054-8
- Samar Elmaadawy, Josep Miquel Jornet:
Unveiling the Potential of Terahertz Technology for Non-Invasive Biomonitoring of Liver Tissue. 1-6 - Francisco Lepe-Salazar, Oscar Nazarit-Campos, Nadia Cortés-Álvarez, César Vuelvas-Olmos:
Impact of Serious Game on Depression in Students. 1-7 - Larry Preuett, Ankur M. Teredesai:
Reproducible Evaluation Framework for Sepsis Treatment Strategies Learned via Offline Reinforcement Learning. 1-6 - René Baranyi, Mustafa Isikoglu, Christoph Aigner, Dominik Hölbling, Thomas Grechenig:
Leveraging Serious Game Mechanics to Boost Vaccine Literacy: Insights and Outcomes. 1-6 - A. Mallick, Rahul L. R., A. Shaiju, Satya Deepika Neelapala, L. Giri, R. Sarkar, S. Jana:
AI-Based 3-Lead to 12-Lead ECG Reconstruction: Towards Smartphone-Based Public Healthcare. 1-6 - Jose M. Ruiz Mejia, Danda B. Rawat:
ClinicalGraph: An Applied Approach in Clinical EHR Knowledge Graph Generation for Optimized Clinical Decision Support System. 1-6 - Hung-Yu Chien, Tzu-Wen Hsu, Sze-Huey Lee, Wei-Shan Chen, Si-Yu Chen, Pei-Jung Tsai:
YOLO-based Bee-Hornet Real-Time Notification. 1 - Harshal Gajjar, Dirgha Jivani, Chinmay Trivedi, Rajesh Gupta, Nilesh Kumar Jadav, Sudeep Tanwar, Ashit Kumar Dutta, Joel J. P. C. Rodrigues:
Blockchain and Quantum-based Collaborative Communication Framework for Telehealth. 1-6 - Yakubu Abdulai, Maode Ma, Hui Wang:
ESMA-IOMT: Efficient and Secure Mutual Authentication in IoMT With RLWE-Based Encryption and Boneh-Boyen Signatures. 1-6 - Minza Nadeem Khan, Arshia Khan:
Conversational Robots as Motivational Tools: A Prisma Guided Review. 1-3 - Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis. 1 - Shun Furusawa, Toshitaka Hamamura, Akio Yoneyama, Masaru Honjo, Nanase Kobayashi, Daisuke Jitoku, Masato Uchida:
Predicting Device Usage Patterns in Patients with Problematic Smartphone Use Through Individualized Hidden Markov Models. 1-7 - Shingo Teranishi, Daisuke Ueyama, Hiromichi Sadamoto, Hirotaka Koike, Shinichi Abe:
High-Accuracy Fecal Odor Gas Detection Using a Gas Sensor Device and Machine Learning. 1-4 - Jose M. Ruiz Mejia, Danda B. Rawat:
Exploring the Advancements of AI Enabled Clinical Decision Support Systems for Patient Triage in Healthcare. 1-4 - Xinkai Liu, Boyuan Peng, Xin Zhu, Tsuyoshi Iwasaki, Atsuya Sato, Junichiro James Kazama, Jie Huang:
Incremental Learning with Pseudo Labels for Enhanced Glomeruli Segmentation Using SAM. 1-6 - Allan Costa Nascimento dos Santos, Karina de Paula, Marcos T. L. Vidal, João M. M. da Silva, Cledson de Sousa, Leandro A. F. Fernandes, Tiago Bornia De Castro, Marcos Bedo, Troy C. Kohwalter, Carlos Alberto Malcher Bastos, Flávio Luiz Seixas, Natalia Castro Fernandes, Débora C. Muchaluat-Saade, Gheorghita Ghinea:
A Computer Vision Model to Support Individuals with Disabilities Within University Campuses. 1-7 - Selma Benzouaoua, Philippe Ea, Osman Salem, Ahmed Mehaoua:
Comparative Analysis of ML and DL Approaches for Securing IoMT Environments. 1-6 - Kristin Qi, Jiatong Shi, Caroline Summerour, John A. Batsis, Xiaohui Liang:
Exploiting Longitudinal Speech Sessions via Voice Assistant Systems for Early Detection of Cognitive Decline. 1-6 - Zhefeng Ren, Anjia Zhou, Zhan Zhao, Xiaojun Hei, Yuan Tian:
Predicting the Survival Prognosis of Ovarian Cancer Patients in a Broad Learning Approach. 1-3 - Jericho Joege G. Paler, Lorenz Timothy B. Ranera, Migel Antonio P. Catalig:
GIS-Based Spatial Accessibility Analysis of Radiation Therapy Center in Eastern Visayas, Philippines. 1-6 - Miyu Matsuda, Jiang Liu, Shigeru Shimamoto, Taka-Aki Nakada:
The Detection of Arteriosclerosis Using a Non-Contact Method with Microwaves. 1-3 - Salman Almuhammad Alali, Amar Kachenoura, Lotfi Senhadji, Alfredo I. Hernández, Cindy Michel, Laurent Albera, Ahmad Karfoul:
Denoising Cardiac Acceleration Signals Using an Optimal Graph-Based Strategy. 1-6 - Stefano Franceschini, Michele Ambrosanio, Maria Maddalena Autorino, Fabio Baselice:
A Deep Learning Solution for Brain Source Localization and Signal Reconstruction in Magnetoencephalography. 1-5 - Alex Grafton, Alejandra Castelblanco, Joana M. Warnecke, Lynn Thomson, Benjamin Schubert, Anne Hilgendorff, Julia A. Schnabel, Joan Lasenby, Kathryn Beardsall:
Advancing Neonatal Care: A Deep Learning Approach for Non-Contact Heart Rate Monitoring. 1-6 - Wenbo Xu, Yvchao Hou, Dongxu Wang, Jie Xu, Zheng Li, Yinghui Zhang:
A Deep Learning Based Assessment Method for Rehabilitation Exercises. 1-4 - Andrea Protani, Lorenzo Giusti, Chiara Iacovelli, Albert Sund Aillet, Diogo Reis Santos, Giuseppe Reale, Aurelia Zauli, Marco Moci, Marta Garbuglia, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio:
Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals. 1-7 - Chiu-Mieh Huang, Jong-Long Guo, Wan-Jung Li, Yun-Huai Chang, Mei-Fen Lu, Shu-Fen Chen:
Exploring the Factors Influencing Continuous Usage of Mobile Technology Among Women Undergoing Chemotherapy for Gynecologic Cancer. 1-3 - Kexin Fan, Alexander Capstick, Ramin Nilforooshan, Payam M. Barnaghi:
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. 1-6 - Rishank Singh, Sankalp Vaish, Xiaohui Liang, Jennifer G. Poole, John A. Batsis, Danae C. Gross:
Clinical Geriatric Functional Assessment Using Wearable Sensing and Machine Learning. 1-7 - Peng Chen, Zhen Guo, Yuqing Zhang, Yuheng Li, Xuxing Liu, Xiangwen Xiao:
A Study on Privacy Protection of Medical Text Data Based on Cloud-Edge Cooperative Computing and Homomorphic Encryption. 1-8 - Orijit Bhattacharya, Qingqing Liu, Hwei-Jen Lin, Chen-Hsiang Yu:
DoggyTongue: Automate Tongue Segmentation for TCM Diagnosis. 1-6 - Nai-Jung Chen, Ching-Hao Chang, Chiu-Mieh Huang, Chih-Lin Lai, Kuan-Yi Liu, Jong-Long Guo:
Effectiveness of an Interactive Robot-Assisted Avatar Health Education Program on Knowledge and Health Literacy in Chronic Kidney Disease Patients. 1-3 - Alfia Parvez, Arshia Khan:
Exploring the Role of Theta-Gamma Coupling in Working Memory Tasks: A Study on N-Back, Digit Span, and Corsi Span Performance. 1-5 - Satya Deepika Neelapala, Soumya Jana, Lopamudra Giri:
U-Net-Based HeLa Cell Segmentation with Zero Manual Labeling Using DBSCAN-Generated Annotations. 1-3 - Abdelkader Tounsi, Osman Salem, Ahmed Mehaoua:
Robust Federated Learning Against Data Poisoning: A Split Learning-Based Approach Evaluated on Various Aggregation Techniques. 1-6 - Husam Ghazaleh, Lavanya Mandava:
Comparing the Impact of Low-Carbohydrate Diet Versus High-Carbohydrate Diet on Blood Glucose Levels Using CarbMetSim Simulator. 1-4 - Raj Mehta, Mahek Mehta, Riya Kakkar, Parita Rajiv Oza, Smita Agrawal, Sudeep Tanwar, Ashit Kumar Dutta, Joel J. P. C. Rodrigues:
Blockchain-based Patient Recommendation System for Smart Healthcare. 1 - Diogo Reis Santos, Albert Sund Aillet, Antonio Boiano, Usevalad Milasheuski, Lorenzo Giusti, Marco Di Gennaro, Sanaz Kianoush, Luca Barbieri, Monica Nicoli, Michele Carminati, Alessandro E. C. Redondi, Stefano Savazzi, Luigi Serio:
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. 1-7 - Diana Rozenshteyn, Hajar Homayouni:
Gender Gap Analysis in Cardiovascular Research. 1-3 - Moudy Sharaf Alshareef, Abrar Alharbi, Mona Jaber, Manal Alfahmi:
Physician Stress Dataset from Real Clinical Environments (PARFAIT). 1-6 - Tareq Hadidi:
Knowledge-Based Clinical Decision Making About Radiation in Cancer Treatement. 1-9 - Diogo Reis Santos, Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Pierpaolo Brutti, Luigi Serio:
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation. 1-4 - Christoph Aigner, Marco Moser, Olivia Carina Wolfsberger, René Baranyi, Vanessa Hohenegger, Thomas Grechenig:
MoodBooster - A Gamified App to Support Stress Reduction in University Students. 1-6 - Linhai Chen, Kun Deng, Qi Wang, Zhimin Zheng, Fuqiang Liu, Chunfeng Cui, Lin Lin:
Athlete Training Assistance System Based on Digital Twin Technology and Wireless Body Area Network. 1-6 - Xiuwen Gu, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki:
Toward Detecting Maternity Neurosis by Using Passive Mobile Sensing: Preliminary Investigation. 1 - Yuanda Wang, Qiben Yan, Thea Knowles, Daryn Cushnie-Sparrow:
ClearAI: AI-Driven Speech Enhancement for Hypophonic Speech. 1-6 - Boyuan Peng, Yiyang Liu, Xin Zhu, Jie Huang, Wenwen Wang, Li Fang, Qin Zhou:
Multi-StudentNet: a Semi-supervised Deep-Learning Framework for Endometrial Segmentation in Transvaginal Ultrasound Images. 1-6 - Christian Williams, Andrew Lee, Ahmed Tolah, Mohammadjavad Einafshar, Elie Massaad, Ali Kiapour, Chen-Hsiang Yu:
Mobile-Enabled Prosthetic System with Machine Learning Support. 1-5 - Malihe Aliasgari, Haoru Li, Ying Zhang, Yousef Nejatbakhsh, Roya Nejatbakhsh:
Recommending Healthy Food for Phenylketonuria with Collaborative and Content-Based Filtering. 1-7 - Nailah Alhassoun, Nalini Venkatasubramanian:
Scaling Compute-Intensive Telehealth Monitoring in IoT-Enabled Smart Spaces: A Personal-Space-State Approach. 1-4 - Jiarui Chen, Qinpei Zhao, Weixiong Rao, Yi Wang, Xinyuan Lu, Quanquan Ge, Ming Li, Congrong Wang:
An Automatic Nutrition Estimation Framework Based on Food Images from Diabetic Patients. 1-6 - Ruojun Zhou, Lisha Qu, Lei Zhang, Ziming Li, Hongwei Yu, Bing Luo:
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation. 1-6 - Alessandro Carrega, Roberto Bruschi, Raffaele Bolla, Antonio Passalacqua:
Efficient. Reliable and Secure Framework for the 5G Virtualization of the UltraSound Medical System. 1-3 - Quôc Vo, Philippe Ea, Osman Salem, Ahmed Mehaoua:
Predicting Heart Disease with Random Forest: An In-Depth Analysis of Machine Learning Techniques for Early Detection and Risk Assessment. 1-3 - Francisco Lepe-Salazar, Fabián Preciado-Martínez:
Game-Based Prevention of Depression in Students. 1-7 - Huyen Hoang Nhung, Zilu Liang:
Wearable-Friendly Apnea Severity Classification. 1 - Ghazal Rahimzadeh, Kathleen Lacy, Shady M. K. Mohamed, Pawel Plawiak, Danial Sharifrazi, Nicole Gwenith Toomey, Houshyar Asadi:
Immediate Detection of Simulator Sickness in Virtual Environments Using Integrated Subjective Feedback and Physiological Signals. 1-7 - Luyao Yang, Osama Amin, Basem Shihada:
Real-Time Freezing of Gait Detection: Harnessing Advanced AI for Better Mobility. 1-7 - Simon Schaefer, Sascha Kratz, Stefan Soter:
Development of a Drive Unit for a Medical Breast Pump. 1 - Jing Zhang, Ruichen Cong, Ou Deng, Yuxi Li, Keishin Lam, Qun Jin:
Analyzing Lifestyle and Behavior with Causal Discovery in Health Data from Wearable Devices and Self-Assessments. 1-6 - Xueyi Wang, Channah A. Bellink, Claudine J. C. Lamoth, Elisabeth Wilhelm:
Multivariate Stress Forecast from Sparse Data during Lifestyle Interventions. 1-5 - Matti Hämäläinen, Marco Hernandez, Tuomas Paso, Lorenzo Mucchi, Stefano Caputo, Sara Jayousi, Hirokazu Tanaka, Daisuke Anzai:
ETSI SmartBAN in Wireless Healthcare. 1-4 - Agung W. Setiawan:
Evaluation Performance of ECG Leads in Myocardial Infarction Classification Using Deep Learning. 1-6 - Pradini Puspitaningayu, Eko Sakti Pramukantoro, Lusia Rakhmawati, RR. Hapsari Peni, Nurhayati:
A Novel Framework for Real-Time Exercise Tracking using Multiple Wearable ECG Sensors. 1-3 - Philippe Ea, Quôc Vo, Osman Salem, Ahmed Mehaoua:
Unsupervised Anomaly Detection in IoMT Based on Clustering and Online Learning. 1-6 - Gillian Cameron, Maurice D. Mulvenna, Raymond R. Bond, Edel Ennis, Siobhan O'Neill, David Cameron, Alex Bunting:
Real-World Usage of a Digital Employee Wellbeing Platform: k-Means Clustering Analysis. 1-4 - Yi-Chan Ding, Kuan-Hsuan Huang, Chi-Lun Lin:
Quantitative Assessment of Hand Movements for Home-Based Health Monitoring Using Wi-Fi. 1 - Yan Qiao, Yang Xue, Yunkai Zhai, Di Zhang, Athanasios V. Vasilakos, M. Shamim Hossain, Shahid Mumtaz:
A Controllable and Efficient Sharing Scheme for Medical IoT Data Based on Consortium Blockchain. 1-6 - Monami Nishio, Ayuha Koyanagi, Ai Takamori, Keiko Hasuike, Yuki Shimoura, Hiromu Yakura, Shoi Shi:
Automatic Assessment of Language Developmental Disorders in Non-English Contexts. 1-6 - Jiarui Li, Shucheng Yu:
Integrity Verifiable Privacy-preserving Federated Learning for Healthcare-IoT. 1-6 - Peng Gao, Haojie Zhang, Lin Shen, Yongxin Zhang, Jiang Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning. 1-5 - Saman Khazaei, Rose T. Faghih:
Decoding a Hidden Energy State Based on Marked Point Process Cortisol Secretory Events During Cardiac Surgery. 1-6 - Huai-Wen Chang, Rong-Yu Wu, Ting-Yuan Wang, Ming-Jer Chen, Yu-Chiao Yi, Jung-Hua Wang:
EM-Assisted Quantization of Absolute Cleavage Timing and Symmetry for Blastomere. 1-6 - Kaifu Guan, Zhiwu Huang, Yongjie Liu, Yue Wu, Yunsheng Fan, Heng Li:
A Rapid Charging Strategy Based on Joint Optimization of Charging Time and Aging Degradation. 1-3 - Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker:
Tiered Service Architecture for Remote Patient Monitoring. 1-7 - Michele Ambrosanio, Marijn Borghouts, Stefano Franceschini, Maria Maddalena Autorino, Vito Pascazio, Fabio Baselice:
Enhanced Deep-Learning-Based Microwave Sensing Technology for Breast Cancer Localization. 1-5 - Qingrong Wu, Mengkai Sun, Haojie Zhang, Yongxin Zhang, Yiming Liu, Boyang Meng, Kun Qian, Bin Hu, Toru Nakamura, Taishin Nomura, Björn W. Schuller, Yoshiharu Yamamoto:
Inspiration of Prototype Knowledge: Introducing a Meta-Learning Approach to Heart Sound Classification. 1-4 - Hongbo Wu, Yukuan Jia, Jintao Yan, Sheng Zhou, Zhisheng Niu, Zheng Chang:
Opportunistic Relay Strategy for Body Area Networks. 1-6 - Julia Jentsch, Ali Burak Ünal, Seyma Selcan Magara, Mete Akgün:
Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications. 1-6 - Yaoyang Wu, Jiahui Yu, Simon Fong, Qun Song, Liansheng Liu:
Enhancing Bone Abnormality Classification Through Background and Irrelevant Part Processing: A Deep Learning and Explainable AI Approach. 1-4 - Tuao Zhang, Suzhen Yuan, Xue Zhou, Wenwen Wang, Xin Zhu:
Prognostic Phenotype Clustering of Uterine Sarcoma Patients. 1-6 - Ruiyao Zhang, Naohisa Yoshida, Osamu Dohi, Boyuan Peng, Xinkai Liu, Jie Huang, Xin Zhu:
ARBS-YOLOv8 for Annotation Box Detection in Colonoscopy CADe Systems. 1-6 - Haoxue Wang, Wenlong Yu, Hui Lv, Fei Wang, Fuqiang Liu, Lin Lin:
Nano Transceiver Design for Molecular Communication Based on DNA Technology. 1-6 - Pedro H. Regalado, Tao Han:
Enhancing E-Health: Integrating Mixed Reality and IoT for Real-Time Health Monitoring. 1-7 - Jayadeep J, Christina Terese Joseph, John Paul Martin:
Enhancing Sleep Apnea Detection with Lightweight Models: Interpretable Convolutional Neural Network Deployed on Raspberry Pi. 1-4 - Maxwell Sam, Richard Annan, Pei Yang, Mohd Anwar, Kristen Rhinhardt, Letu Qingge:
Explainable Convolutional Neural Network for Phenotype Prediction from Genotype. 1-4 - Shengze Wang, Mondher Bouazizi, Tomoaki Ohtsuki:
Remote Inter-beat Interval Estimation: A Signal Reconstruction Approach with Multi-channel Input and Channel-Wise Attention Mechanism. 1-6 - Zhaoming Li, Honglin Li, Yexuan Hu, Xufeng Gu, Liangyu Lv, Yun Lin, Xu Jiao:
Research on Transfer Algorithms for Lying Posture Recognition Based on Array-Based Piezoelectric Signals. 1-5 - Layla Al Hashimi, Paulvanna Nayaki Marimuthu, Sami J. Habib:
Early Detection of Tonic-Clonic Seizure Through Multimodal Physiological Vital Signs Relations. 1-6 - Barkha Panchal, Jitendra Bhatia, Malaram Kumhar, Sudeep Tanwar, Ashit Kumar Dutta, Joel J. P. C. Rodrigues:
BLOCK-SECURE: AI-Based Blockchain Enabled Secure Framework for IoMT Applications. 1-3 - Hongzheng Ju, Kebing Jin, Jianhang Tang, Yang Zhang, Bo Wang, Zehui Xiong:
Future Healthcare Recommender Systems: Applications, Open Issues, and Challenges. 1-6 - K. L. Eddie Law:
Enhanced Reliable Mesh Communication Platforms for Smart Patient Wristbands. 1-4 - Anne Danielle V. Malbog, Ace Jhoelhee M. Irinco, Regolo Jerald L. Morales, Leah T. Salas, Roselyn A. Maaño, Rodrigo C. Belleza, Joanna Fe B. Panganiban:
Implementation of Visual Tracking Model for Assessing Attentive Behavior in Children with Autism Spectrum Disorder Through Eye-Movement. 1-4 - Harika Korkusuz, Jiang Liu:
Brain Chips in the Rough: Computational Modeling of Brain Stimulation by an Intercept and Replace Machine Learning Model. 1-4 - Nabila Husna Shabrina, Dadang Gunawan, Agnes Stephanie Harahap, Maria Francisca Ham:
AI-Based Method for Thyroid Cancer in Histopathology Imaging: Insights and Challenges. 1-4 - Ahmed E. Khaled, Muhammad Bangash:
Layered Data Pipeline for Context-Aware Electronic Health Records and Healthcare Services. 1-6 - Halar Haleem, Muhammad Shahid, Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Sheida Nozari, Andrea Sciarrone, Mehrnaz Hamedani, Angelo Schenone:
Replacing Force Plates with IMU-Based SmartGlasses for Balance Assessment. 1-6 - Andreea Ancuta Corici, Simone Kuntz, Mareike Jansen, Anne Grohnert, Gregor Liebscher, Benny Häusler, Marius Corici, Nils Lahmann, Hemant Zope, Fabian Eichhorn, Tim Bormann, Celin Mousa, Zak Seridarian, Sulaiman Shamasna:
Employing 5G Mobile Networks in Keeping Elderly Healthy and Active. 1-4 - Bao-Nhi Dang Tran, Muhammad Fahim, Bradley D. E. McNiven, Stephen Czarnuch, Octavia A. Dobre, Trung Q. Duong:
Quantum-based Gated Recurrent Units for Multiclass Classification to Monitor Daily Living Activities for Early Disease Detection. 1-6 - Supriya Kumari Prasad, Young-Bae Ko:
Graph Based Hierarchical Temporal Network with Hybrid Optimization Models for Accurate Fall Detection. 1-3 - Tiphaine Diot, Olivier Beuf, Benjamin Leporq, Luc Billaud, Frank Pilleul, Frédéric Cervenansky:
AWESOMME: A Web-Based Medical Imaging Processing Platform for Multiple Use Cases. 1-3 - Philippe Ea, Quôc Vo, Osman Salem, Ahmed Mehaoua:
Smart Healthcare: IoMT-Based Detection and Classification of Respiratory Disorders. 1-6 - Andy Yiu-Chau Tam, Derek Ka-Hei Lai, Ye-Jiao Mao, Minxin Chen, Duo Wai-Chi Wong, Chung-Wai James Cheung:
From Lab to Bed: Robust and Adaptive Non-Contact IoT Sleep Monitoring for Smart Health. 1-4 - Shuai Zhu, Di Wang, Shiwen Mao, Xuyu Wang:
ContrastMask: A Novel Perturbation-Based Method for Explaining Network Intrusion Detection. 1-6 - Miiru Mutsukawa, Xintong Shi, Tomoaki Ohtsuki:
Chirp Correction and Phase Accumulation-Linear Interpolation-Assisted ICEEMDAN-Based Heart Rate Estimation from MIMO FMCW Radar. 1-6 - Hassan Abd-Eltawab, Abdelrhman Gaber, Tamer A. ElBatt:
Towards Machine Learning-based Mapping of * Low-cost BCG to ECG. 1-6 - Masahiro Hayashitani, Eiji Yumoto, Kosuke Nishihara:
Highly Interpretable Agitation Detection Model by Reducing Features with Permutation Importance. 1-3 - Chenyang Liu, Jiang Liu, Shigeru Shimamoto:
Proposal of Healthcare System for Pathological Symptom Detection Employing Voice Analysis. 1-6 - Farchan Hakim Raswa, Chun-Shien Lu, Jia-Ching Wang:
Knowledge Sharing via Mimicking Attention Guided-Discriminative Features in Whole Slide Image Classification. 1-4 - Britt Bente, Nienke Beerlage-de Jong, Rudolf Verdaasdonk, Lisette van Gemert-Pijnen:
Legal, Ethical, Financial, and Technological (LEFT) Considerations for eHealth Implementation in Europe: Developing a Roadmap. 1-6 - Shie-Yuan Wang, Nian-Cheng Zou, Chung-Huang Yu, Mei-Wun Tsai, Pei-Chun Yehi:
Identifying Movement Health Problems by Using Depth Camera, Pose Landmark Detection and Machine Learning. 1-7 - Hsin-Yun Hsu, Kai-Chi Yu, Jheng-Long Wu, Kai-Shyang Hsu:
Sentiment Analysis of Social Support on Treads of Social Media Using Deep Learning Approach. 1-3 - Utsha Saha, Imtiaj Uddin Ahamed, Md Ashique Imran, Imam Uddin Ahamed, Al-Amin Hossain, Uchchas Das Gupta:
YOLOv8-Based Deep Learning Approach for Real-Time Skin Lesion Classification Using the HAM10000 Dataset. 1-4 - Ryota Ogasawara, Mondher Bouazizi, Tomoaki Ohtsuki:
Camera-Based Stress Detection Using Face-Related and Emotion-Related Features. 1-6 - Navid Seidi, Satyaki Roy, Sajal K. Das, Ardhendu Tripathy:
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models. 1-7 - Farha Masroor, Adarsh Gopalakrishnan, Neena Goveas:
Building a Secure Electronic Health Record Management System on Cost-Effective Devices Using Non-Fungible Tokens. 1-3 - Hapsari Peni Agustin Tjahyaningtijas, Lusia Rakhmawati, Pradini Puspitaningayu, Ari Kusumaningsih:
Enhancing Brain Tumor Classification Performance Through Feature Selection In Machine Learning Models. 1 - Priyanka Chauhan, Kolin Paul:
Detection of Coronary Artery Disease Using PCG Signals for Wearable Devices: LSTM-Based Approach. 1-3 - Stefano Franceschini, Michele Ambrosanio, Maria Maddalena Autorino, Fabio Baselice:
A Novel Ultrasound System for Contactless Quantitative Measurements of Finger Tapping: A Feasibility Study. 1-5 - Sayna Rotbei, Pablo Matías Soler, Beatriz Merino-Barbancho, Hania Tourab, Arturo Corbatón Anchuelo, Luis Picazo García, Ricardo Mesanza Forés, Laura Mariel Matus, Ricardo Muñoz Albert, Aitor Odiaga Andicoechea, Raquel Piñero Panadero, María Ángeles San Martín Díezv, Ainhoa Burzaco Sanchez, Rosana Soriano Barrónix, Andrea Irimia, Esther Ruescas Esculano, Mireia Cramp Vinceixo, Fahd Beddar Chaib, Giuseppe Fico, Alessio Botta:
Prediction of Glycemic Event in Emergency Section Patients Using Machine Learning. 1-4 - Thilini Savindya Karunarathna, Zilu Liang:
Physiological Signal Based Blood Glucose Prediction in Diabetics and Non-Diabetics. 1-6 - Kaito Hayashi, Takumi Meguro, Toshitaka Hamamura, Masato Taya, Masaru Honjo, Nanase Kobayashi, Daisuke Jitoku, Masato Uchida:
Estimating Smartphone Orientation for Visualizing Behavior Around Sleep Periods in PSU Patients. 1-7 - Arshia A. Khan, Rupak Kumar Das, Anna Martin, Dale Dowling, Rana Imtiaz:
Creating an Intelligent Dementia-Friendly Living Space: A Feasibility Study Integrating Assistive Robotics, Wearable Sensors, and Spatial Technology. 1-4 - Hung-Yu Chien, An-Tong Shih, Pin-Ping Ciou, Chih-Yu Hsieh, Wei-Ting Chen:
Leverage Infrared Spectra and Machine Learning to Develop Fast Coffee Variety Classification. 1-6 - Pranav Parekh, Richard O. Oyeleke:
Natural Language Processing for Prediction of Multi-Occupancy Activities of Daily Living. 1-4 - Mohamed Ahmed Abo El-Enen, Dina Tbaishat, Mustafa AbdulRazek, Amril Nazir, Reem Muhammad, Ahmed Talat Sahlol:
Generative AI with Big Data for Better Detection of Fraud in Medical Claims. 1-3 - Suttinee Sawadsitang, Waranya Mahanan, Dusit Niyato:
Optimal Data Privacy Protection: K-Anonymity Approach. 1-6 - Abdelhay Ali, Abdulkadir Celik, Ahmed M. Eltawil:
Secure and Efficient sEMG Signal Transmission Using Human Body Communication for Upper Limb Prostheses. 1-5 - Blake Ward, Daniel Gonzalez, Jake Alt, Dongfeng Fang, Shengjie Xu:
Optimizing Weighted Ensemble ML IDS Using Parallelization and Batch Learning in Healthcare Networks. 1-4
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