ArticleIEEE access : practical innovations, open solutions2021
Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores.
Article in IEEE access : practical innovations, open solutions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sensor-Based Technologies for the Detection of Unwanted Loneliness in Older Adults: A Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- A Community-in-the-Loop Approach to Smart Home Monitoring for Aging in Place: Mixed Methods Evaluation of a Co-Designed Prototype.JMIR aging · 2026Article
- Using Indoor Movement Complexity in Smart Homes to Detect Frailty in Older Adults: Multiple-Methods Case Series Study.JMIR aging · 2026Article
- Interpretation of Health-Smart Home Data and Implications for Clinical Decision-Making: Inductive Content Analysis.JMIR nursing · 2025Article
- Synergy of Information in Multimodal Internet of Things Systems-Discovering the Impact of Daily Behaviour Routines on Physical Activity Level.Sensors (Basel, Switzerland) · 2025Article
- Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review.JAMIA open · 2025Review
- Detecting Older Adults' Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal Observational Study.JMIR nursing · 2025Observational
- Article
- Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation.JMIR formative research · 2024Article
- Rural Roads to Cognitive Resilience (RRR): A prospective cohort study protocol.medRxiv : the preprint server for health sciences · 2024Article
- Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction.ACM transactions on computing for healthcare · 2022Article
- Automated Cognitive Health Assessment Using Partially Complete Time Series Sensor Data.Methods of information in medicine · 2022Article
- A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust.NPJ digital medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Advances in machine learning and low-cost, ubiquitous sensors offer a practical method for understanding the predictive relationship between behavior and health. In this study, we analyze this relationship by building a behaviorome, or set of digital behavior markers, from a fusion of data collected from ambient and wearable sensors. We then use the behaviorome to predict clinical scores for a sample of n = 21 participants based on continuous data collected from smart homes and smartwatches and automatically labeled with corresponding activity and location types. To further investigate the relationship between domains, including participant demographics, self-report and external observation-based health scores, and behavior markers, we propose a joint inference technique that improves predictive performance for these types of high-dimensional spaces. For our participant sample, we observe correlations ranging from small to large for the clinical scores. We also observe an improvement in predictive performance when multiple sensor modalities are used and when joint inference is employed.
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