The mPower study, Parkinson disease mobile data collected using ResearchKit

Cited by (630)

Items 301–400 of 630

1. A novel multi-task linear mixed model for smartphone-based telemonitoring
   Hyunsoo Yoon, Nathan B. Gaw · 2020 · Expert Systems with Applications
2. A Longitudinal Normative Dataset and Protocol for Speech and Language Biomarker Research
   James W. Schwoebel, Joel Schwartz, Lindsay Warrenburg, Roland Z. Brown, Ashi Awasthi, Austin New, Paul Monroe Butler, Mark B. Moss, Eleftheria Kyriaki Pissadaki · 2021 · medRxiv
3. A cross-sectional study of symptoms and health-related quality of life in menopausal-aged women in China
   Tamlyn Anne Rautenberg, Shu‐Kay Ng, Martin Downes · 2023 · BMC Women s Health
4. Mobile-based Monitoring of Parkinson's Disease
   Elina Kuosmanen, Valerii Kan, Aku Visuri, Julio Vega, Yuuki Nishiyama, Anind K. Dey, Simon Harper, Denzil Ferreira · 2018 · International Conference on Mobile and Ubiquitous Multimedia (MUM)
5. Comparing laboratory and in-the-wild data for continuous Parkinson’s Disease tremor detection
   Zhang, Ada, De la Torre, Fernando, Hodgins, Jessica · 2020 · 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
6. PDKit: A data science toolkit for the digital assessment of Parkinson’s Disease
   Cosmin Stamate, Joan Saez Pons, David J. Weston, George Roussos · 2021 · PLoS Computational Biology
7. Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research
   Aurélie Fischer, Abir Elbéji, Gloria Aguayo, Guy Fagherazzi · 2022 · Interactive Journal of Medical Research
8. Identification of Parkinson’s Disease Utilizing a Single Self-recorded 20-step Walking Test Acquired by Smartphone’s Inertial Measurement Unit
   Saeed Mehrang, Milla Jauhiainen, Julia Pietilä, Juha Puustinen, Jari Ruokolainen, Hannu Nieminen · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
9. A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts
   Cyril Voisard, Rémi Barrois, Nicolas de l′Escalopier, Nicolas Vayatis, Pierre‐Paul Vidal, Alain Pierre Yelnik, Damien Ricard, Laurent Oudre · 2025 · Scientific Data
10. Role of artificial intelligence in health monitoring using IoT based wearable sensors: A survey
    Laxmi Shaw, Hardik Gohel · 2025 · Internet of Things
11. A ResearchKit app to deliver paediatric electronic consent: Protocol of an observational study in adolescents with arthritis
    Chitra Lalloo, Quỳnh Phạm, Joseph Antony Cafazzo, Elizabeth A. Stephenson, Jennifer Stinson · 2020 · Contemporary Clinical Trials Communications
12. Towards Parkinson’s Disease Prognosis Using Self-Supervised Learning and Anomaly Detection
    Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Yu Wang, Ying Chi, Chunyan Miao · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
13. Clinical Review of Smartphone Applications in Parkinson’s Disease
    Susmit Tripathi, Ashwin Malhotra, Murtaza Qazi, Jingyuan Chou, Fei Wang, Samantha Barkan, Natalie Hellmers, Claire Henchcliffe, Harini Sarva · 2022 · The Neurologist
14. An Exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in Parkinson’s Disease
    S. Sharanyaa, P. N. Renjith, K. Ramesh · 2022 · Lecture notes in networks and systems
15. MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people
    The MindKind Consortium · 2022 · Wellcome Open Research
16. Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge
    Solveig K. Sieberts, Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page, Izhar Bar‐Gad, Brett K. Beaulieu‐Jones, Yuval El-Hanani, Jann Goschenhofer et al. · 2023 · PLOS Digital Health
17. Implicit Detection of Motor Impairment in Parkinson's Disease from Everyday Smartphone Interactions
    Jing Gao, Feng Tian, Junjun Fan, Dakuo Wang, Xiangmin Fan, Yi‐Cheng Zhu, Shuai Ma, Jin Hua Huang, Hongan Wang · 2018 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
18. International mHealth Research: Old Tools and New Challenges
    Michael Lang, Bartha Maria Knoppers, Ma’n H. Zawati · 2020 · The Journal of Law Medicine & Ethics
19. Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial
    Trinquart, Ludovic, Liu, Chunyu, McManus, David D, Nowak, Christopher, Lin, Honghuang, Spartano, Nicole L, Borrelli, Belinda, Benjamin, Emelia J, Murabito, Joanne M · 2023 · Journal of Medical Internet Research
20. Artificial Intelligence in Biomedicine: A Systematic Review from Nanomedicine to Neurology and Hepatology
    Diana-Maria Trașcă, Ion Dorin Pluta, Sîrbuleț Carmen, Renata-Maria Văruţ, Cristina Elena Singer, Kristina Radivojević, George Alin Stoica · 2025 · Pharmaceutics
21. National implementation of a digital Parkinson’s disease screening programme in Thailand: reach, adoption, and real-world performance of the CheckPD app
    Roongroj Bhidayasiri, Saisamorn Phumphid, Jirada Sringean, Chanawat Anan, Teerawat Laosombut, Jeeranun Meesri, Sunaree Wekhinhiran, Natthaphat Leabthong, Onanong Phokaewvarangkul, Decho Surangsrirat et al. · 2026 · BMC Public Health
22. DailyCog: A Real-World Functional Cognitive Mobile Application for Evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease
    Sara Rosenblum, Ariella Richardson, Sonya Meyer, Tal Nevo, Maayan Sinai, Sharon Hassin‐Baer · 2021 · Sensors
23. Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study
    Eldon R. Jupe, Gerald Henry Lushington, Mohan Purushothaman, Fabricio Pautasso, Georg Armstrong, Arif Sorathia, Jessica Crawley, Vijay R. Nadipelli, Bernard Rubin, Ryan Newhardt et al. · 2023 · BioTech
24. Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications
    Charlotte Tang, Imrul K. Shuva, Matthew M. Thelen, Na Zhu, Nathaniel S. Miller · 2024 · ACM Transactions on Accessible Computing
25. Chemotherapy-Induced Peripheral Neuropathy Detection via a Smartphone App: Cross-sectional Pilot Study
    Ciao-Sin Chen, Judy Kim, Noemi Garg, Harsha Guntupalli, Reshma Jagsi, Jennifer J. Griggs, Michael S. Sabel, Michael P. Dorsch, Brian Christopher Callaghan, Daniel L. Hertz · 2021 · JMIR mhealth and uhealth
26. Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol
    Alexandru Sorici, Lidia Băjenaru, Irina Georgiana Mocanu, Adina Magda Florea, Panagiοtis Tsakanikas, Athena Cristina Ribigan, Ludovico Pedullà, Anastasia M. Bougea · 2023 · Healthcare
27. Quality Control of Voice Recordings in Remote Parkinson’s Disease Monitoring Using the Infinite Hidden Markov Model
    Amir Hossein Poorjam, Yordan P. Raykov, Reham Badawy, Jesper Rindom Jensen, Mads Græsbøll Christensen, Max A. Little · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
28. Separation of Several Illnesses Using Correlation Structures with Convolutional Neural Networks
    Attila Zoltán Jenei, Gábor József Kiss, Miklós Gábriel Tulics, Dávid Sztahó · 2021 · Acta Polytechnica Hungarica
29. Measuring the Effects of Caffeine and L-Theanine on Cognitive Performance: A Protocol for Self-Directed, Mobile N-of-1 Studies
    Eddye Golden, Matthew Johnson, Michael Jones, Ryan Viglizzo, Jason R Bobe, Noah Zimmerman · 2020 · Frontiers in Computer Science
30. Designing a Digital Environment to Support the Co-production of Public Services: Balancing Multiple Requirements and Governance Concepts
    Elena Not, Chiara Leonardi, Diego López–de–Ipiña, Daniel Silva-Palacios, Rubén Sánchez, Raman Kazhamiakin, Matteo Gerosa · 2024 · Digital Government Research and Practice
31. Smartphone-Based Detection of Early Parkinson’s Disease With Tapping Records and a Multimodal-Multiscale Ensemble Network
    Tongyue He, Junxin Chen, Yongyong Chen · 2024 · IEEE Sensors Journal
32. Interpretable Parkinson’s Disease Detection Using Group-Wise Scaling
    Niloofar Momeni, Susanna Whitling, Andreas Jakobsson · 2025 · IEEE Access
33. PDGes: An Interpretable Detection Model for Parkinson’s Disease Using Smartphones
    Fei Teng, Yanjiao Chen, Yushi Cheng, Xiaoyu Ji, Boyang Zhou, Wenyuan Xu · 2023 · ACM Transactions on Sensor Networks
34. Implementing sensor‐based digital health technologies in clinical trials: Key considerations from the eCOA Consortium
    Elena S. Izmailova, Danielle Middleton, Reem Yunis, Julia Lakeland, Kristen L. Sowalsky, Julia Kling, Alison Ritchie, Christine Cong Guo, Bill Byrom, Scottie Kern · 2024 · Clinical and Translational Science
35. Open science precision medicine in Canada: Points to consider
    Palmira Granados Moreno, Sarah E. Ali‐Khan, Benjamin Capps, Timothy Caulfield, Damien Chalaud, A.M. Edwards, Edward Richard Gold, Vasiliki Nataly Rahimzadeh, Adrian Thorogood, Daniel S. Auld et al. · 2019 · FACETS
36. Quality Control in Remote Speech Data Collection
    Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen · 2019 · IEEE Journal of Selected Topics in Signal Processing
37. A Review of the Use of Prosodic Aspects of Speech for the Automatic Detection and Assessment of Parkinson’s Disease
    Laureano Moro-Velázquez, Najim Dehak · 2020 · Communications in computer and information science
38. Smart Speakers: The Next Frontier in mHealth
    Jacob E. Sunshine · 2022 · JMIR mhealth and uhealth
39. Measurement of upper limb function in ALS: a structured review of current methods and future directions
    Conor D. Hayden, Bruce P. Murphy, Orla M. Hardiman, Deirdre Murray · 2022 · Journal of Neurology
40. NeuroDiag: Software for Automated Diagnosis of Parkinson’s Disease Using Handwriting
    Quoc Cuong Ngo, Nicole McConnell, Mohammod Abdul Motin, Barbara Polus, Arup Bhattacharya, Sanjay Raghav, Dinesh Kumar · 2024 · IEEE Journal of Translational Engineering in Health and Medicine
41. Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications
    Shakeel A. Sheikh, Md Sahidullah, Ina Kodrasi · 2025 · IEEE Journal of Selected Topics in Signal Processing
42. Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications
    Junseok Park, Seongkuk Park, Gwangmin Kim, Kwangmin Kim, Jaegyun Jung, Sunyong Yoo, Gwan‐Su Yi, Doheon Lee · 2020 · IEEE Access
43. Ethical Aspects of Personal Science for Persons with Parkinson’s Disease: What Happens When Self-Tracking Goes from Selfcare to Publication?
    Sara S. Riggare, Maria Hägglund, Annelien L. Bredenoord, Martijn de Groot, Bastiaan R. Bloem · 2021 · Journal of Parkinson s Disease
44. Enhancing Clinical Information Display to Improve Patient Encounters: Human-Centered Design and Evaluation of the Parkinson Disease-BRIDGE Platform
    Ethan G. Brown, Erica Schleimer, Ian O. Bledsoe, William M. Rowles, Nicolette Miller, Stephan Sanders, Katherine P. Rankin, Jill L. Ostrem, Caroline M. Tanner, Riley M. Bove · 2022 · JMIR Human Factors
45. Mobile Apps
    Pieter Kubben · 2018 · Springer eBooks
46. Robust coupled tensor decomposition and feature extraction for multimodal medical data
    Meng Zhao, Mostafa Reisi Gahrooei, Nathan B. Gaw · 2022 · IISE Transactions on Healthcare Systems Engineering
47. Precise management system for chronic intractable pain patients implanted with spinal cord stimulation based on a remote programming platform: study protocol for a randomized controlled trial (PreMaSy study)
    Yuanchen Cheng, Duo Xie, Yan Han, Siying Guo, Zhenxing Sun, Linkai Jing, Weitao Man, Dongkang Liu, Kaiyuan Yang, Dan Lei et al. · 2023 · Trials
48. Remote Parkinson's disease severity prediction based on causal game feature selection
    Zaifa Xue, Huibin Lu, Tao Zhang, Xiaonan Guo, Le Gao · 2023 · Expert Systems with Applications
49. mHealth Applications for Goal Management Training - Privacy Engineering in Neuropsychological Studies
    Alexander Gabel, Ina Schiering, Sandra Müller, Funda Ertas · 2018 · IFIP advances in information and communication technology
50. Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson’s Disease Patients
    Murtadha D. Hssayeni, Joohi Jimenez Shahed, Behnaz Ghoraani · 2019 · Entropy
51. mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data
    Phil Snyder, Meghasyam Tummalacherla, Thanneer Malai Perumal, Larsson Omberg · 2020 · The Journal of Open Source Software
52. Assessing the consequences of decentralizing biomedical research
    Brian M. Bot, JOHN T. WILBANKS, Lara M. Mangravite · 2019 · Big Data & Society
53. Impacts on study design when implementing digital measures in Parkinson's disease-modifying therapy trials
    Jennie S. Lavine, Anthony D. Scotina, Seth Haney, Jessie P. Bakker, Elena S. Izmailova, Larsson Omberg · 2024 · Frontiers in Digital Health
54. Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease
    Michal Šimek, Tereza Tykalová, Michal Novotný, Vojtěch Illner, Tomáš Kouba, Martin Šubert, Pavel Sovka, Jan Švihlík, Evžen Růžička, Karel Šonka et al. · 2025 · Annals of Neurology
55. Classification of Parkinson’s disease from smartphone recording data using time-frequency analysis and convolutional neural network
    Denchai Worasawate, Warisara Asawaponwiput, Natsue Yoshimura, Apichart Intarapanich, Decho Surangsrirat · 2022 · Technology and Health Care
56. Digital measures of respiratory and upper limb function in spinal muscular atrophy: design, feasibility, reliability, and preliminary validity of a smartphone sensor-based assessment suite
    Thanneer Malai Perumal, Detlef Wolf, Doris Berchtold, Grégoire Pointeau, Yanping Zhang, Wei‐Yi Cheng, Florian Lipsmeier, Jörg Sprengel, Christian Czech, Claudia A. Chiriboga et al. · 2023 · Neuromuscular Disorders
57. Smartphone Based Real-Time Health Monitoring and Intervention
    Daniel Aranki, Gregorij Kurillo, Ruzena K. Bajcsy · 2017 · Scalable computing and communications
58. A CNN-based approach to identification of degradations in speech signals
    Yuki Saishu, Amir Hossein Poorjam, Mads Græsbøll Christensen · 2021 · EURASIP Journal on Audio Speech and Music Processing
59. Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
    Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo · 2020 · Proceedings
60. Wi-Fi-Based Tracking of Human Walking for Home Health Monitoring
    Chi-Lun Lin, Wen-Jia Chang, Guan-Hua Tu · 2021 · IEEE Internet of Things Journal
61. Detection of Parkinsons Disease Via a Multi-Modal Approach
    Jinang Gandhi, Aumkar Gadekar, Tania Rajabally, Preetida Vinayakray-Jani, Dayanand D. Ambawade · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
62. A comprehensive systematic review on mobile applications to support dementia patients
    Davi de Oliveira Cruz, Carlos Alberto Chechetti, Sônia Maria Dozzi Brucki, Leonel Tadao Takada, Fátima L. S. Nunes · 2023 · Pervasive and Mobile Computing
63. ONParkinson – Innovative mHealth to Support the Triad: Patient, Carer and Health Professional
    Rui Neves Madeira, Carla Mendes Pereira, Sergiu Clipei, Patrícia Macedo · 2018 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
64. Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction
    John Burdon Sanderson, James Y. H. Yu, David D. Liu, Daniel E Amaya, Peter M. Lauro, Anelyssa D’Abreu, Umer Akbar, Shane Lee, Wael F. Asaad · 2020 · Frontiers in Neurology
65. A Middleware for Managing the Heterogeneity of Data Provining from IoT Devices in Ambient Assisted Living Environments
    Priscila Cedillo, Xavier Riofrío, Daniela Prado, Marcos Orellana · 2020 · IEEE ANDESCON
66. Smartphone Applications for Reproduction: From Rigorously Validated and Clinically Relevant to Potentially Harmful
    Carol Lynn Curchoe · 2020 · EMJ Reproductive Health
67. Causality-based tests to detect the influence of confounders on mobile health diagnostic applications: a comparison with restricted permutations
    Elias Chaibub Neto, Meghasyam Tummalacherla, Lara M. Mangravite, Larsson Omberg · 2019 · arXiv (Cornell University)
68. A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
    Kathy K Li, Iñigo Urteaga, Amanda A. Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad · 2021 · arXiv (Cornell University)
69. Harmonization of data sets
    Supriyo Choudhury, Genko Oyama, Hrishikesh Kumar · 2024 · Elsevier eBooks
70. Locally adapting digital health technologies to address the global challenge of Parkinson’s disease
    Karlo J. Lizárraga, Isabel Camargo Salazar, Christine E. Zizzi, Stefano E. Romero, José Centeno Arispe, Alejandro Vela Quico, Timothy Dye, Earl Ray Dorsey, Benjamín Castañeda · 2025 · Equity Neuroscience
71. Implementation of Mobile Psychological Testing on Smart Devices: Evaluation of a ResearchKit-Based Design Approach for the Implicit Association Test
    Tobias Jungnickel, Ute von Jan, Urs‐Vito Albrecht · 2022 · Frontiers in Digital Health
72. Embracing the promise of artificial intelligence to improve patient care in movement disorders
    Roongroj Bhidayasiri, Christopher G. Goetz · 2024 · Elsevier eBooks
73. Evaluation of the Parkinson’s Remote Interactive Monitoring System in a Clinical Setting: Usability Study
    Bronwyn Bridges, Jake Taylor, John T. Weber · 2024 · JMIR Human Factors
74. Designing for Participatory Data Governance: Insights from People with Parkinson's
    Pranav Kulkarni, Reuben Kirkham, Ling Wu, Róisín McNaney · 2024 · Designing Interactive Systems Conference
75. Impact of Diabetes Mellitus on Voice: A Methodological Commentary
    Julia Sidorova, Maria O. Anisimova · 2020 · Journal of Voice
76. Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
    Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui · 2021 · International Joint Conference on Artificial Intelligence
77. Task-Oriented Intelligent Solution to Measure Parkinson’s Disease Tremor Severity
    Ghayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, Philip Breedon · 2021 · Journal of Healthcare Engineering · Retracted
78. Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review
    Jordi Martorell‐Marugán, Marco Chierici, Sara Bandrés‐Ciga, Giuseppe Jurman, Pedro Carmona‐Sáez · 2023 · Current Bioinformatics
79. A Technology-Enriched Approach to Studying Microlongitudinal Aging Among Adults Aged 18 to 85 Years: Protocol for the Labs Without Walls Study
    Brooke Brady, Shally Zhou, Daniel Ashworth, Lidan Zheng, Ranmalee Eramudugolla, Md Hamidul Huque, Kaarin Jane Anstey · 2023 · JMIR Research Protocols
80. The digital signature of emergent tremor in Parkinson’s disease
    Aryaman S. Gala, Kevin B. Wilkins, Matthew N. Petrucci, Yasmine M. Kehnemouyi, Anca Velisar, Megan H. Trager, Helen M Bronte-Stewart · 2024 · npj Parkinson s Disease
81. How We Give Now
    Lucy Bernholz · 2021 · The MIT Press eBooks
82. The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research
    Leah Bührmann, Tom Van Daele, Alina Rinn, Nele A. J. De Witte, Dirk Lehr, Jiska Joëlle Aardoom, Lisa Loheide‐Niesmann, Johannes H. Smit, Heleen M. Riper · 2022 · Frontiers in Digital Health
83. Classification Using Radial Basis Function for Prediction of Parkinson's Disease
    Md. Mosharraf Umar, Sameena Naaz · 2022 · IEEE Global Conference for Advancement in Technology (GCAT)
84. Learning Disease vs Participant Signatures: a permutation test approach to detect identity confounding in machine learning diagnostic applications
    Elias Chaibub Neto, Abhishek Pratap, Thanneer Malai Perumal, Meghasyam Tummalacherla, Brian M. Bot, Andrew Daniel Trister, Stephen Henry Friend, Lara M. Mangravite, Larsson Omberg · 2017 · arXiv (Cornell University)
85. Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data
    Iñigo Urteaga, Mollie M. McKillop, Sharon Lipsky Gorman, Noémie Elhadad · 2018 · arXiv (Cornell University)
86. Recruitment of Adolescents to Virtual Clinical Trials: Recruitment Results From the Health4Me Randomized Controlled Trial
    Rebecca Raeside, Allyson Todd, Sarah Barakat, Sean Rom, Stephanie Boulet, Sarah Maguire, Kathryn Williams, Seema Mihrshahi, Maree Lisa Hackett, Julie Redfern et al. · 2024 · JMIR Pediatrics and Parenting
87. StudyMe: a new mobile app for user-centric N-of-1 trials
    Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski · 2022 · Trials
88. A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring
    Nathan B. Gaw, Jing Li, Hyunsoo Yoon · 2022 · IEEE Transactions on Automation Science and Engineering
89. Advancing Cognitive Health in Aging Populations by Leveraging Digital Assessment
    Quentin Coppola, Marc Yangüez, Domenico Tullo, Susanne M. Jaeggi, Aaron R. Seitz · 2024 · Journal of Health Service Psychology
90. A Survey of Advances in Multimodal Federated Learning with Applications
    Gregory Barry, Elif Konyar, Brandon Harvill, Chancellor Johnstone · 2024 · Springer optimization and its applications
91. Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation
    Miguel Angel Ortiz Barrios, Ian Cleland, Mark P Donnelly, Muhammet Gül, Melih Yücesan, Genett Isabel Jiménez-Delgado, Chris Nugent, Stephany Lucia Madrid-Sierra · 2024 · JMIR Rehabilitation and Assistive Technologies
92. Digital Phenotyping-based Depression Detection in the Presence of Comorbidity: An Uncertainty Reasoning Approach
    Fei Peng, Dongsong Zhang, Zhijun Yan · 2024 · Journal of Management Information Systems
93. Experiment in a Box (XB): An Interactive Technology Framework for Sustainable Health Practices
    m.c. schraefel, George Catalin Muresan, Eric B. Hekler · 2021 · Frontiers in Computer Science
94. MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people
    The MindKind Consortium · 2021 · Wellcome Open Research
95. Patient Onboarding and Engagement to Build a Digital Study After Enrollment in a Clinical Trial (TAILOR-PCI Digital Study): Intervention Study
    Robert Avram, Derek Y F So, Erin Iturriaga, Julia Byrne, Ryan J. Lennon, Vishakantha Murthy, Nancy L. Geller, Shaun G. Goodman, Charanjit S. Rihal, Yves Rosenberg et al. · 2022 · JMIR Formative Research
96. A Ranking-based Weakly Supervised Learning model for telemonitoring of Parkinson’s disease
    Dhari F. Alenezi, Hang Shi, Jing Li · 2022 · IISE Transactions on Healthcare Systems Engineering
97. Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
    Tianchen Xu, Yuan Chen, Donglin Zeng, Yuanjia Wang · 2023 · Journal of the American Statistical Association
98. Generalizing Parkinson’s disease detection using keystroke dynamics: a self-supervised approach
    Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo‐Gallego, Luca Giancardo · 2024 · Journal of the American Medical Informatics Association
99. Leveraging mHealth Technologies for Public Health
    Pedro Elkind Velmovitsky, Merna Kirolos, Paulo Alencar, Scott Thomas Leatherdale, Donald Cowan, Plinio Pelegrini Morita · 2024 · JMIR Public Health and Surveillance
100. A New Prospective, Home-Based Monitoring of Motor Symptoms in Parkinson’s Disease
     Pietro‐Luca Ratti, Francesca Dalia Faraci, Sandra Hackethal, Alessandro Mascheroni, Clara Ferlito, Serena Caverzasio, Ninfa Amato, Eun Kyoung Choe, Yuhan Luo, Paulo-Edson Nunes-Ferreira et al. · 2019 · Journal of Parkinson s Disease