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ORCIDICDH 2022: Barcelona, Spain
- Sheikh Iqbal Ahamed, Claudio Agostino Ardagna, Hongyi Bian, Mario A. Bochicchio, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Lin Liu, Misha Pavel, Corrado Priami, Hossain Shahriar, Robert Ward, Fatos Xhafa, Jia Zhang, Farhana H. Zulkernine:
IEEE International Conference on Digital Health, ICDH 2022, Barcelona, Spain, July 10-16, 2022. IEEE 2022, ISBN 978-1-6654-8149-6 - Juan F. Arias:
Using Data from Wearables for Better Sleep. 1-3 - Yasunori Yamada
, Masatomo Kobayashi, Kaoru Shinkawa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai:
Automated Analysis of Drawing Process for Detecting Prodromal and Clinical Dementia. 1-6 - Jonathan P. Epperlein, Niall P. Hardy, Pol Mac Aonghusa, Ronan A. Cahill:
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization. 7-12 - Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy, Liangyuan Na:
Data-driven Interpretable Policy Construction for Personalized Mobile Health. 13-22 - Laura Wiebelitz, Peter Schmid, Thomas Maier, Malte Volkwein:
Designing User-friendly Medical AI Applications - Methodical Development of User-centered Design Guidelines. 23-28 - Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef, Naimul Khan:
Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model. 29-33 - Victoire Metuge, Maria Valero, Liang Zhao, Valentina Nino, David Claudio:
Preliminary Data Collection for Collaborative Emergency Department Crowd Management using Wearable Devices. 34-36 - Bo Wen, Vince S. Siu, Italo Buleje, Kuan Yu Hsieh, Takashi Itoh, Lukas Zimmerli, Nigel Hinds, Elif Eyigöz, Bing Dang, Stefan von Cavallar, Jeffrey L. Rogers:
Health Guardian Platform: A technology stack to accelerate discovery in Digital Health research. 40-46 - Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium:
Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort. 47-53 - Oritsetimeyin Arueyingho, Korede Sanyaolu:
Digital Health Promotion For Fitness Enthusiasts In Africa. 54-59 - Flor Nino Sevilla Palma:
Interoperability Challenges and Critical Success Factors in the Deployment of Cross-border Digital Medical Prescriptions in Finland and Estonia. 60-65 - Braden Tabisula, Chinazunwa Uwaoma:
The Need for an Adaptive Sociotechnical Model for Managing Mental Health in a Pandemic. 66-68 - Alexander P. Turner, David Scott, Stephen Hayes:
The Classification of Multiple Interacting Gait Abnormalities Using Insole Sensors and Machine Learning. 69-76 - Enrico Martini, Nicola Valè, Michele Boldo, Anna Righetti, Nicola Smania, Nicola Bombieri:
On the Pose Estimation Software for Measuring Movement Features in the Finger-to-Nose Test. 77-86 - Maximilian Kapsecker, Simon Osterlehner, Stephan M. Jonas:
Analysis of Mobile Typing Characteristics in the Light of Cognition. 87-95 - Ghada Alhussein, Mohanad Alkhodari, Ahsan Khandokher, Leontios J. Hadjileontiadis:
Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning. 96-103 - Muhammad Arsyad Subu, Imam Waluyo, Nabeel Al-Yateem, Ika Riana, Jacqueline Maria Dias, Ahmad Rajeh Saifan, Syed Azizur Rahman, Sheikh Iqbal Ahamed, Jinten Jumiati, Fatma Refaat Ahmed, Amina Al-Marzouqi:
Smartphone Addiction and Self-Esteem among Indonesian Teenage Students. 104-106 - Young Anna Argyris, Nan Zhang, Bidhan Bashyal, Pang-Ning Tan:
Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media. 107-116 - Mirko Rossi, Giuseppe D'Avenio, Giuseppina La Rosa, Giusy Bonanno Ferraro, Pamela Mancini, Carolina Veneri, Marcello Iaconelli, Luca Lucentini, Lucia Bonadonna, Mario Cerroni, Federica Simonetti, David Brandtner, Elisabetta Suffredini, Mauro Grigioni:
Surveillance of SARS-CoV-2 in Urban Wastewater in Italy. 117-122 - Tarek El Salti, Edward R. Sykes, Javier Nievas, Chen Tong:
A New Low-Cost and Accurate Diagnostic mHealth System for Patients with COVID-19 Pneumonia. 123-128 - Oana Tudorache, John Brandon Kenemer, Janna Pruiett, Maria Valero, Margot Lisa Hedenstrom, Hossain Shahriar, Sweta Sneha:
Implementing Virtual Nursing in Health Care: An evaluation of effectiveness and sustainability. 129-131 - Gianluca Amprimo, Claudia Ferraris, Giulia Masi, Giuseppe Pettiti, Lorenzo Priano:
GMH-D: Combining Google MediaPipe and RGB-Depth Cameras for Hand Motor Skills Remote Assessment. 132-141 - Jared Leitner, Po-Han Chiang, Brian Khan, Sujit Dey:
An mHealth Lifestyle Intervention Service for Improving Blood Pressure using Machine Learning and IoMTs. 142-150 - Chi-Yu Chen, Po-Chien Hsu, Tang-Chen Chang, Huan Ho, Min-Chun Hu, Chi-Chun Lee, Hui-Ju Chen, Mary Hsin-Ju Ko, Chia-Fan Lee, Pei-Yi Wang:
Computer Vision Based Cognition Assessment for Developmental-Behavioral Screening. 151-156 - Malik Muhammad Qirtas, Dirk Pesch, Evi Zafeiridi, Eleanor Bantry-White:
Privacy Preserving Loneliness Detection: A Federated Learning Approach. 157-162 - Taridzo Chomutare, Andrius Budrionis, Hercules Dalianis:
Combining deep learning and fuzzy logic to predict rare ICD-10 codes from clinical notes. 163-168 - Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn:
Deep Learning-Based Discrete Calibrated Survival Prediction. 169-174 - Sofia B. Dias, Leontios J. Hadjileontiadis, Herbert F. Jelinek:
MultiGRehab: Developing a Multimodal Biosignals Acquisition and Analysis Framework for Personalizing Stroke and Cardiac Rehabilitation based on Adaptive Serious Games. 175-177 - Chahd Chabib, Leontios J. Hadjileontiadis, Sherlyn Jemimah, Aamna Al Shehhi:
CurvMRI: A Curvelet Transform-Based MRI Approach for Alzheimer's Disease Detection. 178-184 - Chun-Hsien Wu, Che-Lun Hung, Teng-Yu Lee, Chun-Ying Wu, William Cheng-Chung Chu:
Fatty Liver Diagnosis Using Deep Learning in Ultrasound Image. 185-192 - Maxx Richard Rahman, Jacob Bejder, Thomas Christian Bonne, Andreas Breenfeldt Andersen, Jesús Rodríguez Huertas, Reid Aikin, Nikolai Baastrup Nordsborg, Wolfgang Maass:
Detection of Erythropoietin in Blood to Uncover Doping in Sports using Machine Learning. 193-201 - Melissa J. Morine, Corrado Priami, Edith Coronado, Juliana Haber, Jim Kaput:
A Comprehensive and Holistic Health Database. 202-207 - Nur Imtiazul Haque, Mohammad Ashiqur Rahman:
PHASE: Security Analyzer for Next-Generation Smart Personalized Smart Healthcare System. 208-214 - Lee Solomon, Reddy Bhavya Gudi, Humera Asfandiyar, Sweta Sneha, Hossain Shahriar:
Knowledge Management in a Healthcare Enterprise: Creation of a Digital Knowledge Repository. 215-217 - Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Sheikh Iqbal Ahamed:
DeepCAD: A Stand-alone Deep Neural Network-based Framework for Classification and Anomaly Detection in Smart Healthcare Systems. 218-227 - Ragib Hasan:
Towards Strengthening the Security of Healthcare Devices using Secure Configuration Provenance. 228-233 - Valerio Bellandi, Paolo Ceravolo, Mauro Conti, Maryam Ehsanpour:
Contactless Authentication for Wearable Devices Using RFID. 234-239
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