Early detection of sepsis using artificial intelligence: a scoping review protocol.
Ivana PepicRobert FeldtLars LjungströmRichard TorkarDaniel DaleviHanna Maurin SöderholmLars-Magnus AnderssonMarina Axelson-FiskKatarina BohmBengt Arne SjöqvistStefan CandefjordPublished in: Systematic reviews (2021)
The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.
Keyphrases
- artificial intelligence
- machine learning
- health information
- big data
- deep learning
- public health
- healthcare
- randomized controlled trial
- intensive care unit
- acute kidney injury
- mental health
- septic shock
- quality improvement
- loop mediated isothermal amplification
- label free
- real time pcr
- health promotion
- social media
- human health
- risk assessment
- sensitive detection