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ORCIDICDH 2023: Chicago, IL, USA
- IEEE International Conference on Digital Health, ICDH 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-4103-4
- Nilesh Chakraborty, Shahrear Iqbal, Mohammad Zulkernine:
Risk Assessment in Smart Aging Care Systems: An Elderly-Centered Perspective. 1-12 - Jiaqi Guo, Luotao Lin, Marah M. Aqeel, Saul B. Gelfand, Heather A. Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A. Richards, Edward J. Delp:
Joint Temporal Patterns By Integrating Diet and Physical Activity. 13-23 - Nora Howard, Gina Sprint, Douglas L. Weeks, Elena Crooks:
A Remotely Accessible Ecological Momentary Assessment and Actigraphy System for ALS Research. 24-29 - Masatomo Kobayashi, Yasunori Yamada, Kaoru Shinakwa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai:
Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies. 30-38 - Yasunori Yamada, Kaoru Shinakwa, Masatomo Kobayashi, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai:
Smartwatch-derived Acoustic Markers for Deficits in Cognitively Relevant Everyday Functioning. 39-49 - Carla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel:
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description. 50-56 - Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo
:
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. 57-64 - Vince S. Siu, Kuan Yu Hsieh, Italo Buleje, Takashi Itoh, Tian Hao, Ben Civjan, Nigel Hinds, Bing Dang, Jeffrey L. Rogers, Bo Wen:
Health Guardian: Using Multi-modal Data to Understand Individual Health. 65-74 - Florenc Demrozi, Cristian Turetta, Graziano Pravadelli:
Fostering Human Activity Recognition Workflows: An Open-Source Baseline Framework. 75-80 - Víctor Valls, Mykhaylo Zayats, Alessandra Pascale:
Information Flow in Graph Neural Networks: A Clinical Triage Use Case. 81-87 - Italo Buleje, Vince S. Siu, Kuan Yu Hsieh, Nigel Hinds, Bing Dang, Erhan Bilal, Thanhnha Nguyen, Ellen E. Lee, Colin A. Depp, Jeffrey L. Rogers:
A Versatile Data Fabric for Advanced IoT-Based Remote Health Monitoring. 88-90 - Sara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, Dat Huynh, Matt McDonald, Jeffrey L. Rogers:
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. 91-99 - Tian Hao, Yasunori Yamada, Jeffrey L. Rogers, Kaoru Shinakwa, Miyuki Nemoto, Kiyotaka Nemoto, Tetsuaki Arai:
An Automated Digital Biomarker of Mobility. 100-108 - Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers:
A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation. 109-114 - Aijia Yuan, Michael Xu, Hongyi Zhu, Sagar Samtani, Edlin Garcia Colato:
Towards Privacy-Preserving Depression Detection: Experiments on Passive Sensor Signal Data. 115-117 - Yuhao Chen, Boqun Shu, Mojtaba Moattari, Farhana H. Zulkernine, John A. Queenan, David Barber:
SPaDe: A Synonym-based Pain-level Detection Tool for Osteoarthritis. 118-120 - Sandra Kumi, Maxwell Hilton, Charles Snow, Richard K. Lomotey, Ralph Deters:
SleepSynth: Evaluating the use of Synthetic Data in Health Digital Twins. 121-130 - Jingyuan Chen, Yuan Yao, Mie Anderson, Natalie Hauglund, Celia Kjaerby, Verena Untiet, Maiken Nedergaard, Jiebo Luo:
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging. 131-142 - Iva 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:
Identifying at-risk university students: A system for longitudinal monitoring of sleep health. 143-149 - Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov:
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. 150-157 - Maxx Richard Rahman, Mohammed Hussain, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports. 158-168 - Tiffany Thang, Achi Mishra, Siyi Zhang, Grace Peters, Christian Henry, Sri Kurniawan:
Designing a VR Game for the Psychosocial Support of Adolescents with Orofacial Cleft Lip and/or Palate. 169-176 - Shayan Fazeli, Lionel M. Levine, Mehrab Beikzadeh, Baharan Mirzasoleiman, Bita Zadeh, Tara Peris, Majid Sarrafzadeh:
A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-Modal Passive Sensing. 177-183 - Sheikh Iqbal Ahamed, Masud Rabbani, Richard J. Povinelli:
A Comprehensive Survey on Detection of Non-linear Analysis Techniques for EEG Signal. 184-194 - Rodrigo H. Ordóñez-Hurtado, Bo Wen, Nicholas Barra, Ryan Vimba, Sergio Cabrero-Barros, Sergiy Zhuk, Jeffrey L. Rogers:
Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics. 195-201 - Parama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed:
Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning. 202-204 - Nathaniel Mastracci, Farnaz Derakhshan, Edward R. Sykes, Dodo Khan:
Classification of Heart Sounds Using Machine Learning. 205-207 - Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita:
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. 208-216 - Abdulsalam Almadani, Emmanuel Agu, Atifa Sarwar, Monica Ahluwalia, Jacques Kpodonu:
HCM-Dynamic-Echo: A Framework for Detecting Hypertrophic Cardiomyopathy (HCM) in Echocardiograms. 217-226 - Sara Comai, Andrea Masciadri, Fabrice Monasterio, Fabio Motetta, Giuseppe Pozzi, Fabio Salice:
CardiaPPG - A Portable, Low-Cost Photopletismograph for the Evaluation of the Cardiovascular Age. 227-233 - Lorenzo Simone, Mauro Giuseppe Camporeale, Nunzia Lomonte, Giovanni Dimauro, Vincenzo Gervasi:
An Efficient Deep Learning Approach for Arrhythmia Classification using 3D Temporal SVCG. 234-239 - Imon Chakraborty, P. Vigneswara Ilavarasan, K. Nandhini, Sisira Edirippulige:
What Drives Front-End Innovation in Fem-Tech Startups? Insights from a Quantitative Study. 240-247 - Parama Sridevi, Masud Rabbani, Sheikh Iqbal Ahamed:
A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering Techniques. 248-257 - Hanjia Lyu, Kevin Kapcio, Kyle Purrman, Christian Peyre, Carolyn Jones, Michal Lada, Jiebo Luo:
Applying Machine Learning to Predict Esophageal Cancer Recurrence after Esophagectomy. 258-262 - Jingyang Lin, Junyu Chen, Hanjia Lyu, Igor Khodak, Divya Chhabra, Colby L. Day Richardson, Irina Prelipcean, Andrew M. Dylag, Jiebo Luo:
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning. 263-265 - Md. Khairul Islam, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Aparna Marathe, Judy Fox:
Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models. 266-277 - Amit Kumar, Souparna Das, Suman Roy:
Transfer Learning Improves Unsupervised Assignment of ICD codes with Clinical Notes. 278-287 - Md Faruque Hossain, M. A. Karim:
Application of Solar Energy in Building Design to Eliminate Pathogens Naturally. 288-291 - Connor C. J. Hryhoruk, Carson K. Leung:
Mining Sequential Patterns with Timelines from Digital Health Data. 292-294 - Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry:
Public Health Emergencies: Health Data and Public Health Surveillance. 295-297 - Matteo Falconi, Pierluigi Plebani:
Adopting Data Mesh principles to Boost Data Sharing for Clinical Trials. 298-306 - James R. Clavin, Karuna P. Joshi:
Policy Integrated Blockchain to Automate HIPAA Part 2 Compliance. 307-314 - Niranjan Sahi, Anda Liang, Wyn Van Devanter, Konstantinos Oikonomou, Peng Zhang:
Self-Sovereign Identity in Semi-Permissioned Blockchain Networks Leveraging Ethereum and Hyperledger Fabric. 315-321 - Javier Rojo, José García-Alonso, Juan Hernández, Juan Manuel Murillo, Sumi Helal:
Personal Health Trajectory Traceability using Blockchain Technology. 322-324 - Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Zhiming Zhao:
Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. 325-327 - Soumyadeep Roy, Niloy Ganguly, Shamik Sural, Koustav Rudra:
Interpretable Clinical Trial Search using Pubmed Citation Network. 328-338 - Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger:
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. 339-347 - Elham Estiri, Hossein Mirinejad:
Precision Dosing in Critical Care: Application of Machine Learning in Fluid Therapy. 348-352 - David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Simon K. Poon:
Implementing AI-based Computer-Aided Diagnosis for Radiological Detection of Tuberculosis: A Multi-Stage Health Technology Assessment. 353-355 - Helina D. VanBibber, Andrew J. Moyal, Benjamin J. Geletka, Colin K. Drummond, Soham R. Patel, Jacob G. Calcei, James E. Voos, Dhruv R. Seshadri:
Wearable Technology to Quantify Patient Reported Outcome Measures to Guide Rehabilitation Following Anterior Cruciate Ligament Reconstruction. 356-358
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