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| Published in: | EPMA Journal |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030192894214146 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | EPMA Journal |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:47265 |
| institution | FRELIP |
| journal_source_facet | EPMA Journal |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI Biology Natural Sciences — Life Sciences Natural Sciences |
| sub_discipline_display | Natural Sciences — Life Sciences |
| sub_discipline_facet | Natural Sciences — Life Sciences |
| subject_display | Biology Natural Sciences — Life Sciences Natural Sciences Biology Natural Sciences — Life Sciences Natural Sciences |
| subject_facet | Biology Natural Sciences — Life Sciences Natural Sciences |
| title | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_auth | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_full | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_fullStr | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_full_unstemmed | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_short | Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI |
| title_sort | monitoring airline pilot mental health: a 3pm framework utilising digital phenotyping and ai |
| topic | Biology Natural Sciences — Life Sciences Natural Sciences |
| url | https://link.springer.com/article/10.1007/s13167-026-00454-7 |