Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.

Journal of medical Internet research - 15 Mar 2021

Wang Xuancong, Vouk Nikola, Heaukulani Creighton, Buddhika Thisum, Martanto Wijaya, Lee Jimmy, Morris Robert Jt

Abstract excerpt

The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and early experiences with a comprehensive digital phenotyping platform: Health Outcomes through Positive Engagement and Self-Empowerment (HOPES). HOPES is based on the...

Topics

Computers, Handheld
Data Collection
Humans
Machine Learning
Mobile Applications
Phenotype
Research Design
Schizophrenia
Smartphone
Wearable Electronic Devices

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 33720028
DOI: 10.2196/23984
PMCID: PMC8074871

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-33720028-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.PMID 33720028Read ↗

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform.Semantic proximity Read ↗

Characterizing the All of Us Research Program's Wearables Dataset: A Transformative Resource for Digital Health ResearchSemantic proximity Read ↗

The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care.Semantic proximity Read ↗

Measuring COVID-19 and Influenza in the Real World via Person-Generated Health DataSemantic proximity Read ↗

Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.Semantic proximity Read ↗

Harnessing digital phenotyping to advance university student mental health (Brightline) in Singapore: study protocol for a prospective observational study.Semantic proximity Read ↗

The potential of digital phenotyping to advance the contributions of mobile health to self-management science.Semantic proximity Read ↗

Software Reference Architecture for Real-Time Mobile Digital Phenotyping: Evaluation of System Designs.Semantic proximity Read ↗

Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults.Semantic proximity Read ↗

Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.Semantic proximity Read ↗

New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices.Semantic proximity Read ↗

Assessing the feasibility of large-scale digital sensing for depression and anxiety: The Digital Mental Health StudySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.