2017
DOI: 10.1093/ibd/izx007
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Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning

Abstract: A novel machine learning model substantially improved our ability to predict IBD-related hospitalization and outpatient steroid use. This model could be used at point of care to distinguish patients at high and low risk for disease flare, allowing individualized therapeutic management.

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Cited by 87 publications
(82 citation statements)
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“…A neural network that analyzes morphometric images of early-stage biopsies from patients with Crohn's disease identified those with disease progression with approximately 83.3% accuracy and a requirement for surgery with 86.0% accuracy. 99 Waljee et al 100 constructed a ML method to analyze data from electronic medical records that predicted IBD-related hospitalizations and outpatient use of steroids within 6 months with an AUROC curve of 0.87. An ANN predicted the frequency of clinical relapse in patients with IBD with a high level of accuracy.…”
Section: Inflammatory and Other Nonmalignant Lesionsmentioning
confidence: 99%
“…A neural network that analyzes morphometric images of early-stage biopsies from patients with Crohn's disease identified those with disease progression with approximately 83.3% accuracy and a requirement for surgery with 86.0% accuracy. 99 Waljee et al 100 constructed a ML method to analyze data from electronic medical records that predicted IBD-related hospitalizations and outpatient use of steroids within 6 months with an AUROC curve of 0.87. An ANN predicted the frequency of clinical relapse in patients with IBD with a high level of accuracy.…”
Section: Inflammatory and Other Nonmalignant Lesionsmentioning
confidence: 99%
“…We noticed that some of the non-stricturing CD patients also had high circulating elafin levels, leading to moderate accuracy when elafin alone was used in identifying stricturing CD patients. Elafin alone is not enough to indicate intestinal strictures accurately because the complexity of many clinical characteristics of the patients has not been considered (Isakov, Dotan et al, 2017, Waljee, Lipson et al, 2017.…”
Section: Discussionmentioning
confidence: 99%
“…Outpatient flares were identified on the basis of filled outpatient prescriptions for corticosteroids using a previously described algorithm. 10 Hospitalizations were inpatient stays associated with an ICD-9-CM code for IBD, and corticosteroids were corticosteroid prescriptions filled during the admission. 10 All of the ICD-9-CM codes and variables used to identify these outcomes, including IBD-related surgical procedures, are presented in eTable 1 in the Supplement .…”
Section: Methodsmentioning
confidence: 99%
“…The primary objective was to examine continuity of care (COC) among veterans with IBD and the association between low levels of COC and selected IBD-related outcomes (ie, outpatient corticosteroid-treated flares, hospitalizations, and surgical interventions). 10 , 11 …”
Section: Introductionmentioning
confidence: 99%