Table of Contents

• Risk Assessment in Smart Aging Care Systems: An Elderly-Centered PerspectiveNilesh Chakraborty, Shahrear Iqbal, Mohammad Zulkernine. 1-12 [doi]
• Joint Temporal Patterns By Integrating Diet and Physical ActivityJiaqi Guo, Luotao Lin, Marah M. Aqeel, Saul B. Gelfand, Heather A. Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A. Richards, Edward J. Delp. 13-23 [doi]
• A Remotely Accessible Ecological Momentary Assessment and Actigraphy System for ALS ResearchNora Howard, Gina Sprint, Douglas L. Weeks, Elena Crooks. 24-29 [doi]
• Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy BodiesMasatomo Kobayashi, Yasunori Yamada, Kaoru Shinakwa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai. 30-38 [doi]
• Smartwatch-derived Acoustic Markers for Deficits in Cognitively Relevant Everyday FunctioningYasunori Yamada, Kaoru Shinakwa, Masatomo Kobayashi, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai. 39-49 [doi]
• Remote Inference of Cognitive Scores in ALS Patients Using a Picture DescriptionCarla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel. 50-56 [doi]
• Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from SmartphonesWeijian Li, Wei Zhu 0015, E. Ray Dorsey, Jiebo Luo. 57-64 [doi]
• Health Guardian: Using Multi-modal Data to Understand Individual HealthVince S. Siu, Kuan Yu Hsieh, Italo Buleje, Takashi Itoh, Tian Hao, Ben Civjan, Nigel Hinds, Bing Dang, Jeffrey L. Rogers, Bo Wen. 65-74 [doi]
• Fostering Human Activity Recognition Workflows: An Open-Source Baseline FrameworkFlorenc Demrozi, Cristian Turetta, Graziano Pravadelli. 75-80 [doi]
• Information Flow in Graph Neural Networks: A Clinical Triage Use CaseVíctor Valls, Mykhaylo Zayats, Alessandra Pascale. 81-87 [doi]
• A Versatile Data Fabric for Advanced IoT-Based Remote Health MonitoringItalo Buleje, Vince S. Siu, Kuan Yu Hsieh, Nigel Hinds, Bing Dang, Erhan Bilal, Thanhnha Nguyen, Ellen E. Lee, Colin A. Depp, Jeffrey L. Rogers. 88-90 [doi]
• The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation PatientsSara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, Dat Huynh, Matt McDonald, Jeffrey L. Rogers. 91-99 [doi]
• An Automated Digital Biomarker of MobilityTian Hao, Yasunori Yamada, Jeffrey L. Rogers, Kaoru Shinakwa, Miyuki Nemoto, Kiyotaka Nemoto, Tetsuaki Arai. 100-108 [doi]
• A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord StimulationTigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers. 109-114 [doi]
• Towards Privacy-Preserving Depression Detection: Experiments on Passive Sensor Signal DataAijia Yuan, Michael Xu, Hongyi Zhu, Sagar Samtani, Edlin Garcia. 115-117 [doi]
• SPaDe: A Synonym-based Pain-level Detection Tool for OsteoarthritisYuhao Chen, Boqun Shu, Mojtaba Moattari, Farhana H. Zulkernine, John A. Queenan, David Barber. 118-120 [doi]
• SleepSynth: Evaluating the use of Synthetic Data in Health Digital TwinsSandra Kumi, Maxwell Hilton, Charles Snow, Richard K. Lomotey, Ralph Deters. 121-130 [doi]
• sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep StagingJingyuan Chen, Yuan Yao, Mie Anderson, Natalie Hauglund, Celia Kjaerby, Verena Untiet, Maiken Nedergaard, Jiebo Luo. 131-142 [doi]
• Identifying at-risk university students: A system for longitudinal monitoring of sleep healthIva Bojic, Jintana Liu, Qi Chwen Ong, Ashwini Lawate, Malar Palaiyan, May O. Lwin, John Arputhan Abisheganaden, Yin Leng Theng, Moon-ho Ringo Ho, Michael Yong Hwa Chia, Josip Car. 143-149 [doi]
• Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health DisordersFabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov. 150-157 [doi]
• Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in SportsMaxx Richard Rahman, Mohammed Hussain, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass 0002. 158-168 [doi]
• Designing a VR Game for the Psychosocial Support of Adolescents with Orofacial Cleft Lip and/or PalateTiffany Thang, Achi Mishra, Siyi Zhang, Grace Peters, Christian Henry, Sri Kurniawan. 169-176 [doi]
• A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-Modal Passive SensingShayan Fazeli, Lionel M. Levine, Mehrab Beikzadeh, Baharan Mirzasoleiman, Bita Zadeh, Tara Peris, Majid Sarrafzadeh. 177-183 [doi]
• A Comprehensive Survey on Detection of Non-linear Analysis Techniques for EEG SignalSheikh Iqbal Ahamed, Masud Rabbani, Richard J. Povinelli. 184-194 [doi]
• Enabling the Evaluation of Driver Physiology Via Vehicle DynamicsRodrigo H. Ordóñez-Hurtado, Bo Wen, Nicholas Barra, Ryan Vimba, Sergio Cabrero Barros, Sergiy Zhuk, Jeffrey L. Rogers. 195-201 [doi]
• Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine LearningParama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed. 202-204 [doi]
• Classification of Heart Sounds Using Machine LearningNathaniel Mastracci, Farnaz Derakhshan, Edward R. Sykes, Dodo Khan. 205-207 [doi]
• Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart FailureAnkita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita. 208-216 [doi]
• HCM-Dynamic-Echo: A Framework for Detecting Hypertrophic Cardiomyopathy (HCM) in EchocardiogramsAbdulsalam Almadani, Emmanuel Agu, Atifa Sarwar, Monica Ahluwalia, Jacques Kpodonu. 217-226 [doi]
• CardiaPPG - A Portable, Low-Cost Photopletismograph for the Evaluation of the Cardiovascular AgeSara Comai, Andrea Masciadri, Fabrice Monasterio, Fabio Motetta, Giuseppe Pozzi, Fabio Salice. 227-233 [doi]
• An Efficient Deep Learning Approach for Arrhythmia Classification using 3D Temporal SVCGLorenzo Simone, Mauro Giuseppe Camporeale, Nunzia Lomonte, Giovanni Dimauro, Vincenzo Gervasi. 234-239 [doi]
• What Drives Front-End Innovation in Fem-Tech Startups? Insights from a Quantitative StudyImon Chakraborty, P. Vigneswara Ilavarasan, K. Nandhini, Sisira Edirippulige. 240-247 [doi]
• A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering TechniquesParama Sridevi, Masud Rabbani, Sheikh Iqbal Ahamed. 248-257 [doi]
• Applying Machine Learning to Predict Esophageal Cancer Recurrence after EsophagectomyHanjia Lyu, Kevin Kapcio, Kyle Purrman, Christian Peyre, Carolyn Jones, Michal Lada, Jiebo Luo. 258-262 [doi]
• Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task LearningJingyang Lin, Junyu Chen, Hanjia Lyu, Igor Khodak, Divya Chhabra, Colby L. Day Richardson, Irina Prelipcean, Andrew M. Dylag, Jiebo Luo. 263-265 [doi]
• Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series ModelsMd. Khairul Islam, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Aparna Marathe, Judy Fox. 266-277 [doi]
• Transfer Learning Improves Unsupervised Assignment of ICD codes with Clinical NotesAmit Kumar, Souparna Das, Suman Roy 0001. 278-287 [doi]
• Application of Solar Energy in Building Design to Eliminate Pathogens NaturallyMd Faruque Hossain, M. A. Karim. 288-291 [doi]
• Mining Sequential Patterns with Timelines from Digital Health DataConnor C. J. Hryhoruk, Carson K. Leung. 292-294 [doi]
• Public Health Emergencies: Health Data and Public Health SurveillanceMohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry. 295-297 [doi]
• Adopting Data Mesh principles to Boost Data Sharing for Clinical TrialsMatteo Falconi, Pierluigi Plebani. 298-306 [doi]
• Policy Integrated Blockchain to Automate HIPAA Part 2 ComplianceJames R. Clavin, Karuna P. Joshi. 307-314 [doi]
• Self-Sovereign Identity in Semi-Permissioned Blockchain Networks Leveraging Ethereum and Hyperledger FabricNiranjan Sahi, Anda Liang, Wyn Van Devanter, Konstantinos Oikonomou, Peng Zhang. 315-321 [doi]
• Personal Health Trajectory Traceability using Blockchain TechnologyJavier Rojo 0004, José García-Alonso, Juan Hernández 0001, Juan Manuel Murillo, Sumi Helal. 322-324 [doi]
• Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical ImagesYuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao. 325-327 [doi]
• Interpretable Clinical Trial Search using Pubmed Citation NetworkSoumyadeep Roy, Niloy Ganguly, Shamik Sural, Koustav Rudra. 328-338 [doi]
• Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement LearningPeter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger. 339-347 [doi]
• Precision Dosing in Critical Care: Application of Machine Learning in Fluid TherapyElham Estiri, Hossein Mirinejad. 348-352 [doi]
• Implementing AI-based Computer-Aided Diagnosis for Radiological Detection of Tuberculosis: A Multi-Stage Health Technology AssessmentDavid Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Simon K. Poon. 353-355 [doi]
• Wearable Technology to Quantify Patient Reported Outcome Measures to Guide Rehabilitation Following Anterior Cruciate Ligament ReconstructionHelina D. VanBibber, Andrew J. Moyal, Benjamin J. Geletka, Colin K. Drummond, Soham R. Patel, Jacob G. Calcei, James E. Voos, Dhruv R. Seshadri. 356-358 [doi]