The McGill Interactive Pediatric OncoGenetic Guidelines: An approach to identifying pediatric oncology patients most likely to benefit from a genetic evaluation.
Catherine GoudieHallie ColtinLeora WitkowskiStephanie MouradDavid MalkinWilliam D FoulkesPublished in: Pediatric blood & cancer (2017)
Identifying cancer predisposition syndromes in children with tumors is crucial, yet few clinical guidelines exist to identify children at high risk of having germline mutations. The McGill Interactive Pediatric OncoGenetic Guidelines project aims to create a validated pediatric guideline in the form of a smartphone/tablet application using algorithms to process clinical data and help determine whether to refer a child for genetic assessment. This paper discusses the initial stages of the project, focusing on its overall structure, the methodology underpinning the algorithms, and the upcoming algorithm validation process.
Keyphrases
- machine learning
- young adults
- deep learning
- clinical practice
- quality improvement
- ejection fraction
- childhood cancer
- mental health
- newly diagnosed
- palliative care
- genome wide
- gene expression
- prognostic factors
- oxidative stress
- squamous cell carcinoma
- artificial intelligence
- patient reported outcomes
- chronic kidney disease
- clinical evaluation