Clinical Prediction Tools in Trauma: Where Do We Go From Here?
Author:
Affiliation:
1. Department of Surgery, Stanford University, Stanford, California
2. Department of Biomedical Data Science, Stanford University, Stanford, California
Publisher
American Medical Association (AMA)
Subject
General Medicine
Link
https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2788501/choi_2022_ic_210326_1643043099.08877.pdf
Reference7 articles.
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2. Derivation and validation of a score using prehospital data to identify adults with trauma requiring early laparotomy.;Gutierrez;JAMA Netw Open,2022
3. Rib fracture frailty index: a risk stratification tool for geriatric patients with multiple rib fractures.;Choi;J Trauma Acute Care Surg,2021
4. Development and validation of a hospital frailty risk score focusing on older people in acute care settings using electronic hospital records: an observational study.;Gilbert;Lancet,2018
5. A combined strategy of feature selection and machine learning to identify predictors of prediabetes.;De Silva;J Am Med Inform Assoc,2020
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1. TraumaICDBERT, A Natural Language Processing Algorithm to Extract Injury ICD-10 Diagnosis Code from Free Text;Annals of Surgery;2023-09-27
2. Longitudinal analysis of neutrophil-to-lymphocyte ratio over time after major trauma;Trauma;2022-11-30
3. DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures;Journal of Trauma and Acute Care Surgery;2022-09-19
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