Found: 7
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Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort.
- Published in:
- 2021
- By:
- Publication type:
- journal article
Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease.
- Published in:
- JAMA Network Open, 2019, v. 2, n. 5, p. e193721, doi. 10.1001/jamanetworkopen.2019.3721
- By:
- Publication type:
- Article
Assessing Clinical Disease Recurrence Using Laboratory Data in Surgically Resected Patients From the TOPPIC Trial.
- Published in:
- Crohn's & Colitis 360, 2020, v. 2, n. 4, p. 1, doi. 10.1093/crocol/otaa088
- By:
- Publication type:
- Article
Machine learning models to predict disease progression among veterans with hepatitis C virus.
- Published in:
- PLoS ONE, 2019, v. 14, n. 01, p. 1, doi. 10.1371/journal.pone.0208141
- By:
- Publication type:
- Article
Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.
- Published in:
- Journal of Crohn's & Colitis, 2017, v. 11, n. 7, p. 801, doi. 10.1093/ecco-jcc/jjx014
- By:
- Publication type:
- Article
Assessing risk of fibrosis progression and liver-related clinical outcomes among patients with both early stage and advanced chronic hepatitis C.
- Published in:
- PLoS ONE, 2017, v. 12, n. 11, p. 1, doi. 10.1371/journal.pone.0187344
- By:
- Publication type:
- Article