Table 1.
Included articles in the umbrella review.
| Reference | Title |
| Beames et al [7], 2024 | Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12-25 years): a scoping review |
| Trifan et al [8], 2019 | Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations |
| Choi et al [9], 2024 | Digital phenotyping for stress, anxiety, and mild depression: systematic literature review |
| Qirtas et al [10], 2022 | Loneliness and social isolation detection using passive sensing techniques: scoping review |
| Yim et al [11], 2020 | The utility of smartphone-based, ecological momentary assessment for depressive symptoms |
| Leaning et al [12], 2024 | From smartphone data to clinically relevant predictions: a systematic review of digital phenotyping methods in depression |
| Virginia Anikwe et al [13], 2022 | Mobile and wearable sensors for data-driven health monitoring system: state-of-the-art and future prospect |
| Lee et al [14], 2023 | Using digital phenotyping to understand health-related outcomes: a scoping review |
| Gopalakrishnan et al [15], 2022 | Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review |