ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.JAMA network open · 2019Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes. Predicting dynamics of complexity in such patients can potentially help improve the quality of care and reduce utilization of hospital resources. In this work, we model the change prediction of medical complexity using a large dataset of 226K pediatric patients over 5 years from Children's Healthcare of Atlanta (CHOA). We compare different classification methods including logistic regression, random forest, gradient boosting trees, and multilayer perceptron in predicting whether patients will change their complexity status in the last year based on the data from previous years. We achieved an area under the ROC curve (AUC) of 88% for predicting noncomplex patients becoming complex and 74% for predicting complex patients staying complex. We also identify the factors associated with the change in complexity of patients.
Indexed as
Identifiers
29854255PMC5977630What OpenQuestion holds
Registered trials
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