The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, Brian M., Suver, Christine, Neto, Elias Chaibub, Kellen, Michael, Klein, Arno, Bare, Christopher, Doerr, Megan, Pratap, Abhishek +4 more·2016·Scientific Data

Cited by (630)

Items 401–500 of 630

  1. The CTSA program’s role in improving rural public health: Community-engaged disease prevention and health care innovation
    Xinzhi Zhang, Michael G. Kurilla, Christopher P. Austin · 2020 · Journal of Clinical and Translational Science
  2. Parkinsons Disease Prediction Using Machine Learning
    T Mohesh, K Gowtham, P Vijeesh, Arun Kumar S · 2022 · International Journal for Research in Applied Science and Engineering Technology
  3. Biases in digital health measures
    Simona Mellino, Czuee Morey, Colin Rohner · 2022 · Elsevier eBooks
  4. A Versatile and Scalable Platform That Streamlines Data Collection for Patient-Centered Studies: Usability and Feasibility Study
    Haley Huang, Sofia Aschettino, Nasim Lari, Ting-Hsuan Lee, Sarah Stothers Rosenberg, Xinyi Ng, Stella G. Muthuri, Anirudh Bakshi, Korrin Bishop, Hussein Ezzeldin · 2022 · JMIR Formative Research
  5. Parkinson’s Disease Detection And Classification Of Stages From Drawing Patterns Using Deep Learning
    B. Karthikeyan, J B Jerolin Futina, P Pandia Abinaya, R. Shanmuga Priya · 2023 · International Conference on Bio Signals, Images, and Instrumentation (ICBSII)
  6. Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network Consortium (PPACMAN) 2018 Annual Meeting Summary
    Rebecca H. Haberman, Lourdes Maria Perez-Chada, Evan L. Siegel, Anthony M. Reginato, Dan E. Webster, Vinod Chandran, Jessica A. Walsh, Cheryl F. Rosen, Soumya M. Reddy, Alexis Ogdie et al. · 2020 · Journal of Psoriasis and Psoriatic Arthritis
  7. WearGait-PD: An Open-Access Wearables Dataset for Gait in Parkinson’s Disease and Age-Matched Controls
    Anthony Anderson, David Eguren, Michael A. Gonzalez, Naima Khan, Sophia A. Watkinson, Michael J. Caiola, Siegfried S. Hirczy, Cyrus P. Zabetian, Kelly A. Mills, Emile Sami Moukheiber et al. · 2024 · medRxiv
  8. Nerva, a mobile application of gut-directed hypnotherapy for irritable bowel syndrome: User characteristics, patterns of use, and predictors of persistence
    Lauren Simicich, Vanessa Muñiz, Katherine Scheffrahn, Gary R. Elkins · 2024 · Digital Health
  9. Parkinson’s disease detection based on artificial intelligence: Methodologies, datasets, clinical applications, challenges and future directions
    Xiling Fu, Sike Ni, Mohammed A. A. Al‐qaness · 2025 · Engineering Applications of Artificial Intelligence
  10. Toward trustworthy digital healthcare: A system-level convergence of IoMT, large language models, and explainable AI
    Maria Bashir, Shaker El–Sappagh, Simon S. Woo, Dong In Kim, Tamer Abuhmed · 2026 · Information Fusion
  11. Care for the Mind amid Chronic Diseases: An Interpretable AI Approach Using IoT
    Jiaheng Xie, Xiaohang Zhao, Xiang Liu, Xiao Fang · 2025 · Management Science
  12. The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study
    Alessandro Mascheroni, Eun Kyoung Choe, Yuhan Luo, Michele Marazza, Clara Ferlito, Serena Caverzasio, Francesco Mezzanotte, Alain Kaelin‐Lang, Francesca Dalia Faraci, Alessandro Puiatti et al. · 2021 · JMIR mhealth and uhealth
  13. Classification of Parkinson’s Disease from Voice – Analysis of Data Selection Bias
    Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese · 2023 · Studies in health technology and informatics
  14. Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score
    Nikos Tsolakis, Christoniki Maga‐Nteve, Γεώργιος Μεδίτσκος, Stefanos Vrochidis, Ioannis Yiannis Kompatsiaris · 2023 · IFIP advances in information and communication technology
  15. Enhancing noise robustness of automatic Parkinson’s disease detection in diadochokinesis tests using multicondition training
    Mario Madruga, Y. Campos‐Roca, Carlos Javier Pérez · 2024 · Expert Systems with Applications
  16. Empowering the measurement of early Parkinson’s disease digital biomarkers by a features-attention fusion network and smartphone
    Tongyue He, Junxin Chen, David Camacho · 2025 · Measurement
  17. Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
    Alper Idrisoglu, Ana Luiza Dallora, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund · 2025 · Scientific Reports
  18. Neurophysiological Vocal Source Modeling for Biomarkers of Disease
    Gregory A. Ciccarelli, Thomas Francis Quatieri, Satrajit Ghosh · 2016 · Interspeech (USB)
  19. Design of a clinical decision support system powered by mhealth for the management of Parkinson's disease
    Dimitrios A. Gatsios, George Rigas, Spyridon Konitsiotis · 2021 · South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
  20. Up-Sampling Active Learning: An Activity Recognition Method for Parkinson’s Disease Patients
    Peng Yue, Xiang Wang, Yang Yu, Jun Qi, Po Yang · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  21. FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease Progress
    Yiqiang Chen, Xiaodong Yang, Yuting He, Chunyan Miao, Piu Chan · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
  22. Detection of Parkinson's Disease and Its Severity Using Deep Learning
    Md Shabbeer, M Pravalika, M Likhitha, K Grace Leena, K Sheshikanth, R. Pitchai · 2023 · International Conference on Inventive Research in Computing Applications (ICIRCA)
  23. More Medicine, Fewer Clicks: How Informatics Can Actually Help Your Practice
    Debra A. Patt, Elmer Victor Bernstam, Joshua C. Mandel, David Kreda, Jeremy Lyle Warner · 2017 · American Society of Clinical Oncology Educational Book
  24. The role of metabolomics in personalized medicine
    Drupad K. Trivedi, Royston Goodacre · 2020 · Elsevier eBooks
  25. Diagnosis of Parkinson’s Disease using Artificial Neural Network
    M Anila · 2020 · International Journal of Emerging Trends in Engineering Research
  26. Proof-of-Concept Study: a Mobile Application to Derive Clinical Outcome Measures from Expression and Speech for Mental Health Status Evaluation
    Francesco Luke Siena, Michael Vernon, Paul Watts, Bill Byrom, David E. Crundall, Philip Breedon · 2020 · Journal of Medical Systems
  27. Application of Technology in Healthcare
    Andreia Robert Lopes, Ana Sofia Dias, Bebiana Sá‐Moura · 2021 · Advances in data mining and database management book series
  28. Design and Validation of a New Diagnostic Tool for the Differentiation of Pathological Voices in Parkinsonian Patients
    Eleana E. I. Almaloglou, Styliani A. Geronikolou, George Panagiotis Chrousos, Constantine L. Kotropoulos · 2021 · Advances in experimental medicine and biology
  29. Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States
    Benjamin R. Kummer, Neil A. Busis · 2024 · JMIR Neurotechnology
  30. Ubi-AD: Towards Ubiquitous, Passive Alzheimer Detection using the Smartwatch
    Yuan Li Wu, Yanjiao Chen, Jian Zhang, Xueluan Gong, Hongliang Bi · 2024 · ACM Transactions on Sensor Networks
  31. Advancing Parkinson’s Disease Detection: A Review of AI and Deep Learning Innovations
    Marwane Beriich, Asmae Ouhmida, Zakaria Alouani, Shawki Saleh, Bouchaib Cherradi, Abdelhadi Raihani · 2025 · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
  32. A standards-based approach to digital health research: implementing the people heart study
    Raheel Sayeed, David Kreda, Joshua C. Mandel, Bryan Larson, William Gordon, Kenneth D. Mandl, Isaac S. Kohane · 2025 · Journal of the American Medical Informatics Association
  33. Causality-Aware Predictions in Static Anticausal Machine Learning Tasks
    Elias Chaibub Neto · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  34. Usability of a Mobile Application for Patients with Parkinson’s Disease
    Gent Ymeri, Benjamin Maus, Myrthe Wassenburg, Carl Magnus Olsson, Per Svenningsson, Dario Salvi · 2024 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  35. Cross-device and test–retest reliability of speech acoustic measurements derived from consumer-grade mobile recording devices
    Zian Hu, Zhenglin Zhang, Hai Li, Lizhuang Yang · 2024 · Behavior Research Methods
  36. Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls
    Shally Zhou, Brooke Brady, Kaarin Jane Anstey · 2025 · Behavior Research Methods
  37. Impact of a digital platform and flare risk blood biomarker index on lupus: A study protocol design for evaluating self efficacy and disease management
    Eldon R. Jupe, Mohan Purushothaman, Bruce Wang, Gerald Henry Lushington, Sandeep Nair, Vijay R. Nadipelli, Bernard Rubin, Melissa E. Munroe, Jessica Crawley, Sneha Nair et al. · 2025 · Contemporary Clinical Trials Communications
  38. Out‐of‐Distribution Detection as a Risk‐Control Strategy for Medical Classification Machine Learning Models
    Chunhua Weng, Joshua Ward, Wesley Lin, Sherry Dong, Qi Liu, Hanrui Zhang · 2025 · Clinical and Translational Science
  39. Real-Time Screening of Parkinson's Disease based on Speech Analysis using Smartphone
    Md. Tanvir Ehsan, Shehan Irteza Pranto, Khondaker A. Mamun · 2021 · International IEEE/EMBS Conference on Neural Engineering
  40. Validating the measurement of upper limb sensorimotor behavior utilizing a tablet in neurologically intact controls and individuals with chronic stroke
    Devin Sean Austin, Makenna J. Dixon, Duncan Thibodeau Tulimieri, Joshua G. A. Cashaback, Jennifer A. Semrau · 2023 · Journal of NeuroEngineering and Rehabilitation
  41. A Unified Data Architecture for Assessing Motor Symptoms in Parkinson’s Disease
    Christopher Gundler, Qi Zhu, Leona Trübe, Adrin Dadkhah, Tobias Gutowski, Moritz Rosch, Claudia Langebrake, Sylvia Nürnberg, Michael Baehr, Frank Ückert · 2023 · Studies in health technology and informatics
  42. Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors
    Thanneer Malai Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg · 2018 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
  43. Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson’s Disease Using Smartphones
    John Prince, Fernando Andreotti, Maarten De Vos · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
  44. Exploring Demographic Effects on Speaker Verification
    Sophie Si, Zhengxiong Li, Wenyao Xu · 2021 · IEEE Conference on Communications and Network Security
  45. User Engagement Metrics and Patterns in Phendo, an Endometriosis Research Mobile App
    Noémie Elhadad, Iñigo Urteaga, Sharon Lipsky Gorman, Mollie M. McKillop · 2022 · Research Square
  46. Self-supervised learning for early detection of neurodegenerative diseases with small data
    Hongchao Jiang · 2023
  47. Smartphone-based measurement of cardiovascular healthcare: Advances and applications
    Xianzhe Chen, Junxin Chen, Hongzeng Xu, Tongyue He, Mikael Fridenfalk, Zhihan Lv · 2025 · Measurement
  48. Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in de novo patients using smartphone assessments
    Weihang Guo, Xiaodong Yang, Zheng Ruan, Xu Wang, Dan-Zuo Zhang, Shu-Chao Song, Yiqiang Chen, Piu Chan · 2025 · Journal of Parkinson s Disease
  49. Accessibility and usage patterns of wearable devices among Chinese adults: the Huawei Blood Pressure Health Study
    Ying Wang, Shanshan Zhou, Yuqi Liu, Dandan Li, Shun-Ying Hu, Wang Xi, Yi Li, Yani Yu, Yundai Chen · 2025 · European Heart Journal - Digital Health
  50. Enabling Automated, Conversational Health Coaching with Human-Centered Artificial Intelligence
    Elliot G. Mitchell · 2021
  51. An Improvised Machine Learning Approach for Wireless Sensor-Based Healthcare Applications
    V. Bharathi, C. N. S. Vinoth Kumar · 2022 · Lecture notes on data engineering and communications technologies
  52. Respondents of health survey powered by the innovative NURO app exhibit correlations between exercise frequencies and diet habits, and between stress levels and sleep wellness
    Daniel Gallucci, Ernest C. Y. Ho, Joseph Geraci, Joseph Loren, Luca Pani · 2022 · Frontiers in Psychiatry
  53. Linking Data Collected from Mobile Phones with Symptoms Level in Parkinson’s Disease: Data Exploration of the mPower Study
    Gent Ymeri, Dario Salvi, Carl Magnus Olsson · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  54. Remote Medication Status Prediction for Individuals with Parkinson’s Disease using Time-series Data from Smartphones
    Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo · 2023 · IEEE International Conference on Digital Health (ICDH)
  55. Early diagnosis of Parkinson disease using Machine Learning Techniques
    Atul Srivastava, Harshita Rana, Prashant Dixit, Reecha Singh · 2023 · International Conference on Information Management & Machine Intelligence (ICIMMI)
  56. Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review
    Shanshan Song, Micaela Ashton, Rebecca Hahn Yoo, Zoljargal Lkhagvajav, Robert A. Wright, Debra Mathews, Casey Overby Taylor · 2024 · Journal of Medical Internet Research
  57. Noninvasive Deep Learning Analysis for Smith–Magenis Syndrome Classification
    Esther Núñez-Vidal, Raúl Fernández-Ruiz, Agustín Álvarez-Marquina, Irene Hidalgo de la Guía, Elena Garayzábal, Nikola Hristov-Kalamov, Francisco Domínguez-Mateos, Cristina Conde, R. Martínez · 2024 · Applied Sciences
  58. Evaluation of compliance and accuracy in Parkinson’s disease motor symptom tracking: a comparative study of digital and traditional paper diaries using a smartphone application (MyParkinson’s)
    Nazlı Durmaz Çelik, Aslı Yaman Kula, Naci Murat, Müge Kuzu Kumcu, Aydan Topal, Serhat Özkan · 2025 · Frontiers in Neurology
  59. Feasibility, adherence and usability of an observational digital health study built using Apple’s ResearchKit among adults aged 18–84 years
    Brooke Brady, S. Zhou, D. Ashworth, Lidan Zheng, Ranmalee Eramudugolla, Kaarin Jane Anstey · 2025 · Frontiers in Digital Health
  60. Implementation and Adherence of a Custom Mobile Application for Anonymous Bidirectional Communication Among Nearly 4000 Participants: Insights from the Longitudinal RisCoin Study
    Ana Zhelyazkova, Sibylle Koletzko, Kristina Adorjan, Anna Schrimf, Stefanie Völk, Leandra Koletzko, Alexandra Fabry-Said, Andreas Osterman, Irina Badell, Marc Eden et al. · 2025 · Infectious Disease Reports
  61. Enhancing Detection of Parkinson-Induced Dysarthria with Cross-Lingual Transfer Learning
    Andreas Rouvalis, Johannes Tröger, Julius Steuer, Juan Rafael Orozco‐Arroyave, Jan Rusz, Jouni Pohjalainen, Hali Lindsay, Bernd Möbius, Dietrich Klakow · 2025 · Lecture notes in computer science
  62. Technological advances enabling an enhanced understanding of early Alzheimer's disease
    Rhoda Au, Niranjan Bose, Farhad B. Imam, Vijaya B. Kolachalama · 2025 · Alzheimer s & Dementia
  63. Ambient Assisted Living for an Ageing Society: a Technological Overview.
    Marco Mobilio, Toshi Kato, Hiroko Kudo, Daniela Micucci · 2016 · BOA (University of Milano-Bicocca)
  64. Utilizing Consumer Technology (Apple’s ResearchKit) for Medical Studies by Patients and Researchers: Proof of Concept of the Novel Platform REach
    Marleen M. H. J. van Gelder, Lucien JLPG Engelen, Thijs Sondag, Tom H van de Belt · 2018 · Journal of Participatory Medicine
  65. Machine Learning Methods for Managing Parkinson’s Disease
    Kunjan Vyas, Shubhendu Vyas, Nikunj Rajyaguru · 2020 · Learning and analytics in intelligent systems
  66. An Analysis of Automated Parkinson’s Diagnosis Using Voice: Methodology and Future Directions
    Timothy J. Wroge, Reza Hosseini Ghomi · 2020 · Springer eBooks
  67. Putting it all together: Connecting mobile technology to systems biology
    Olivia Walch · 2020 · Current Opinion in Systems Biology
  68. mHealth for research
    Ipek Ensari, Noémie Elhadad · 2020 · Elsevier eBooks
  69. Diagnosis of Parkinson’s Disease Using Deep Neural Network Model
    M Anila, G Pradeepini · 2021 · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
  70. Artificial Intelligence Based Diagnosis of Parkinson’s Disorders
    Kamini, Shalli Rani, Ali Kashif Bashir · 2023 · Cognitive technologies
  71. Regulating mobile health research in Canada: Public trust and public participation
    Ma’n H. Zawati, M. Lang · 2024 · Ethics Medicine and Public Health
  72. Data Sharing and Reuse
    Ida Sim · 2020 · Springer eBooks
  73. Current Trends of Computational Tools in Geriatric Medicine and Frailty Management
    Anna Maria Louka, Christos Tsagkaris, Panagiotis Christoforou, Andleeb Khan, Filia Alexiou, Panagiota Simou, Ioannis Iraklis Haranas, Ioannis Gkigkitzis, George D. Zouganelis, Niraj Kumar Jha et al. · 2022 · Frontiers in Bioscience-Landmark
  74. Towards personalized causal inference of medication response in mobile health: an instrumental variable approach for randomized trials with imperfect compliance
    Elias Chaibub Neto, Ross L. Prentice, Brian M. Bot, Mike Kellen, Stephen Henry Friend, Andrew Daniel Trister, Larsson Omberg, Lara M. Mangravite · 2016 · arXiv (Cornell University)
  75. JTrack: A Digital Biomarker Platform for Remote Monitoring in Neurological and Psychiatric Diseases
    Mehran Sahandi Far, Stolz, Michael, Jona M. Fischer, Simon Bodo Eickhoff, Juergen Dukart · 2021 · arXiv (Cornell University)
  76. JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases (Preprint)
    Mehran Sahandi Far, Michael Stolz, Jona M. Fischer, Simon Bodo Eickhoff, Juergen Dukart · 2021
  77. Promoting brain health in a digital world
    Prabha Siddarth, John F. Hodes, Gary W. Small · 2023 · Elsevier eBooks
  78. Parkinson’s Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication State
    Ghayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, Philip Breedon · 2021 · Lecture notes in computer science
  79. Data Sharing and Reuse
    Ida Sim · 2022 · Springer eBooks
  80. Mobile Phone-Based Digital Biomarkers Empowered by Knowledge Distillation for Diagnosis of Parkinson’s Disease
    Tongyue He, Junxin Chen, Chi Lin, Wei William Wang · 2025 · IEEE Transactions on Mobile Computing
  81. Methods for Analytical Validation of Novel Digital Clinical Measures: Implementation Feasibility Evaluation Using Real-World Datasets
    Simon Turner, Lysbeth L. Floden, Leif E. R. Simmatis, Piper Fromy, Joss Langford, Eric J. Daza, Andrew Potter, Kathleen A. Troeger, the STAGES cohort investigator group · 2025 · Journal of Medical Internet Research
  82. Towards an AI biomedical scientist: Accelerating discoveries in neurodegenerative disease
    Roberts, Kaleigh F., Landsness, Eric C., Reese, Justin, Elbert, Donald, Strobel, Gabrielle, Wu, Elizabeth, Chen, Yixin, Lai, Albert, Abrams, Zachary B., Zhu, Mingfang et al. · 2026 · The Journal of Prevention of Alzheimer's Disease
  83. “Explaining AI Medical Models in My Way”: An LLM-Enhanced Personalized Report for Clinicians
    Shuchao Song, Yiqiang Chen, Yong Zhang, Xiaodong Yang, Xu Wang, Weihang Guo · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  84. The Road Ahead
    Christopher Oloruntoba Akintayo, Samuel Obiosa Onyekweli, Gloria Osayamen Omoruyi, Joseph Oluwatomi Akintayo · 2026 · IGI Global eBooks
  85. Clinician and patient perspectives on meaningful Parkinson's disease impacts for digital assessment
    Andrew Pearlmutter, Robert Ellis, Peterschmitt MJ · 2026 · Frontiers in Neurology
  86. Self-Supervised Contrastive Learning for Remote Detection of Early Parkinson’s Disease by Mobile Phone Digital Biomarkers
    Tongyue He, Chi‐Chen Lin, Qiang He, Yongfei Wu, Junxin Chen · 2026 · IEEE Transactions on Mobile Computing
  87. Physiology-Driven Inference Using Large Language Models Enables Probabilistic Assessment of Huntington’s Disease from Smartphone Eye-Movement Data
    Leonardo Eleuterio Ariello, K P Wang, David E. Newman‐Toker, Jee Bang, David P. W. Rastall · 2026 · AI
  88. Design of a dual-route acoustic-feature and EfficientNet-B0 spectrogram-based voice-screening device for Parkinson’s disease assessment
    Wenxiang Zhou, Ziwei Yu, Shujuan Luo · 2026 · Biomedizinische Technik/Biomedical Engineering
  89. Causal Analysis of Parkinson’s Motor Symptoms Using Structured Smartphone Accelerometer Data
    Abdulrahman Aloyayri, Max A. Little, Nawfal A. Zakar · 2026 · Lecture notes in computer science
  90. Patient-Centered Designs (and Outcomes)
    Frances M. Weaver · 2017 · Springer eBooks
  91. Analyzing mHeath Usage Using the mPower Data
    Jiexun Li, Xiaohui Chang · 2017 · Lecture notes in computer science
  92. Improving Outcomes: Big Data and Predictive Analytics
    Aditya V. Karhade, William Brian Gormley, Timothy Richard Smith · 2018 · Elsevier eBooks
  93. A Look to the Future
    Erick R. Scott, Richard L. Wallsten · 2019 · Elsevier eBooks
  94. Scaling-Out Longitudinal Clinical Analytics with Dataflow Processing
    Joan Saez Pons, Cosmin Stamate, David J. Weston, George Roussos · 2019 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  95. Choosing the Most Suitable Classifier for Supporting Assistive Technology Adoption in People with Parkinson’s Disease: A Fuzzy Multi-criteria Approach
    Miguel Angel Ortiz Barrios, Ian Cleland, Mark P Donnelly, Jonathan Greer, Antonella Petrillo, Zaury Fernández-Mendoza, Natalia Jaramillo-Rueda · 2020 · Lecture notes in computer science
  96. The growing significance of smartphone apps in data-driven clinical decision-making: Challenges and pitfalls
    Iva Halilaj, Yvonka van Wijk, Arthur Jochems, Philippe Lambin · 2020 · Elsevier eBooks
  97. Mobilemicroservices Architecture for Remote Monitoring of Patients: A Feasibility Study
    Jari Ruokolainen, Juan Haladijan, Milla Juutinen, Juha Puustinen, Anu Holm, Antti T. Vehkaoja, Hannu Nieminen · 2022 · Studies in health technology and informatics
  98. Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies
    Elias Chaibub Neto, Thanneer Malai Perumal, Abhishek Pratap, Aryton Tediarjo, Brian M. Bot, Lara M. Mangravite, Larsson Omberg · 2022 · PLoS ONE
  99. Application of Technology in Healthcare
    Andreia Robert Lopes, Ana Sofia Dias, Bebiana Sá‐Moura · 2022 · IGI Global eBooks
  100. Heath management app use in Parkinson’s disease and quality of life during the COVID-19 pandemic
    Yilin Tang, Xiaoniu Liang, Bo Shen, Jiawei Wang, Bastiaan R. Bloem, Jianjun Wu, Jian Wang · 2023 · Communications Medicine