A multisite comparison using electronic health records and natural language processing to identify the association between suicidality and hospital readmission amongst patients with eating disorders.
Charlotte CliffeMarika CusickSumithra VellupillaiMatthew ShearJohnny DownsSophie EpsteinJyotishman PathakRina DuttaPublished in: The International journal of eating disorders (2023)
Suicidality amongst is eating disorders is an extremely common presentation and it is important we further our understanding of identifying those most at risk. This research also provides a novel study design, comparing two NLP algorithms on electronic health record data based in the United States and United Kingdom on eating disorder inpatients. Studies researching both UK and US mental health patients are sparse therefore this study provides novel data.
Keyphrases
- electronic health record
- adverse drug
- clinical decision support
- mental health
- end stage renal disease
- machine learning
- newly diagnosed
- ejection fraction
- healthcare
- chronic kidney disease
- prognostic factors
- autism spectrum disorder
- emergency department
- deep learning
- peritoneal dialysis
- patient reported outcomes
- acute care
- data analysis