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Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning

Inflammatory bowel diseases, 2018-01, Vol.24 (1), p.45-53

2018

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Machine learning models to predict disease progression among veterans with hepatitis C virus

PloS one, 2019-01, Vol.14 (1), p.e0208141-e0208141

2019

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Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus

BMC medical informatics and decision making, 2022-03, Vol.22 (1), p.63-10, Article 63

2022

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Assessing risk of fibrosis progression and liver-related clinical outcomes among patients with both early stage and advanced chronic hepatitis C

PloS one, 2017-11, Vol.12 (11), p.e0187344-e0187344

2017

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Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort

BMC medical informatics and decision making, 2021-12, Vol.21 (1), p.347-347, Article 347

2021

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Antimicrobial activity of ethanol-extracted propolis fractions from Bahia, Brazil

Journal of Osaka Dental University, 2024/04/25, Vol.58(1), pp.165-171

2024

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Handheld multispectral fluorescence lifetime imaging system for in vivo applications

Biomedical optics express, 2014-03, Vol.5 (3), p.921-931

2014

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Transposon insertion in Rothia dentocariosa

Journal of oral biosciences, 2024-06, Vol.66 (2), p.358-364

2024

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Predicting corticosteroid‐free endoscopic remission with vedolizumab in ulcerative colitis

Alimentary pharmacology & therapeutics, 2018-03, Vol.47 (6), p.763-772

2018

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Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease

Inflammatory bowel diseases, 2018-05, Vol.24 (6), p.1185-1192

2018

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Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines

Journal of Crohn's and colitis, 2017-07, Vol.11 (7), p.801-810

2017

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325 ADAPTED TIME-VARYING COVARIATES COX MODEL PERFORMS WELL IN PREDICTING FUTURE CIRRHOSIS DEVELOPMENT AMONG HCV PATIENTS WITH AND WITHOUT ANTIVIRAL TREATMENT

Gastroenterology (New York, N.Y. 1943), 2020-05, Vol.158 (6), p.S-1267-S-1268

2020

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Statistical Learning for Networks with Node Features

Liu, Boang

2019

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136 - Machine Learning Models at Week 6 of Vedolizumab Therapy for Ulcerative Colitis can Accurately Predict Week 52 Corticosteroid Free Endoscopic Remission

Gastroenterology (New York, N.Y. 1943), 2017-04, Vol.152 (5), p.S38-S39

2017

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Sa1946 - Machine Learning Models at Week 6 of Vedolizumab Therapy for Inflammatory Crohn's Disease can Accurately Predict Week 52 Corticosteroid Free Biologic Remission

Gastroenterology (New York, N.Y. 1943), 2017-04, Vol.152 (5), p.S403-S403

2017

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Mo1479 - using Longitudinal Prediction Models to Evaluate Disease Progression Among 156,588 Veterans with Hepatitis C

Gastroenterology (New York, N.Y. 1943), 2018-05, Vol.154 (6), p.S-728-S-728

2018

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Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease

JAMA network open, 2019-05, Vol.2 (5), p.e193721

2019

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Machine Learning Models at Week 6 of Vedolizumab Therapy for Inflammatory Crohn's Disease can Accurately Predict Week 52 Corticosteroid Free Biologic Remission

Gastroenterology (New York, N.Y. 1943), 2017-04, Vol.152 (5), p.S403-S403

2017

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Machine Learning Models at Week 6 of Vedolizumab Therapy for Ulcerative Colitis can Accurately Predict Week 52 Corticosteroid Free Endoscopic Remission

Gastroenterology (New York, N.Y. 1943), 2017-04, Vol.152 (5), p.S38-S39

2017

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Assessing Clinical Disease Recurrence Using Laboratory Data in Surgically Resected Patients From the TOPPIC Trial

Crohn's & colitis 360, 2020-10, Vol.2 (4), p.otaa088-otaa088

2020

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Fault diagnosis strategy for startup process based on standard operating procedures

2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.4221-4226

2013

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Multi-sensor image registration based on geometric affine invariant

2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.4772-4776

2013

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Increasing Sufu gene dosage reveals its unorthodoxical role in promoting polydactyly and medulloblastoma tumorigenesis

JCI insight, 2024-02

2024

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Increasing Sufu gene dosage reveals its unorthodox role in promoting polydactyly and medulloblastoma tumorigenesis

JCI insight, 2024-02, Vol.9 (6)

2024

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Protein phosphatase 4 promotes Hedgehog signaling through dephosphorylation of Suppressor of fused

Cell death & disease, 2020-08, Vol.11 (8), p.686-686, Article 686

2020

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Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning

Machine learning models to predict disease progression among veterans with hepatitis C virus

Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus

Assessing risk of fibrosis progression and liver-related clinical outcomes among patients with both early stage and advanced chronic hepatitis C

Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort

Antimicrobial activity of ethanol-extracted propolis fractions from Bahia, Brazil

Handheld multispectral fluorescence lifetime imaging system for in vivo applications

Transposon insertion in Rothia dentocariosa

Predicting corticosteroid‐free endoscopic remission with vedolizumab in ulcerative colitis

Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease

Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines

325 ADAPTED TIME-VARYING COVARIATES COX MODEL PERFORMS WELL IN PREDICTING FUTURE CIRRHOSIS DEVELOPMENT AMONG HCV PATIENTS WITH AND WITHOUT ANTIVIRAL TREATMENT

Statistical Learning for Networks with Node Features

136 - Machine Learning Models at Week 6 of Vedolizumab Therapy for Ulcerative Colitis can Accurately Predict Week 52 Corticosteroid Free Endoscopic Remission

Sa1946 - Machine Learning Models at Week 6 of Vedolizumab Therapy for Inflammatory Crohn's Disease can Accurately Predict Week 52 Corticosteroid Free Biologic Remission

Mo1479 - using Longitudinal Prediction Models to Evaluate Disease Progression Among 156,588 Veterans with Hepatitis C

Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease

Machine Learning Models at Week 6 of Vedolizumab Therapy for Inflammatory Crohn's Disease can Accurately Predict Week 52 Corticosteroid Free Biologic Remission

Machine Learning Models at Week 6 of Vedolizumab Therapy for Ulcerative Colitis can Accurately Predict Week 52 Corticosteroid Free Endoscopic Remission

Assessing Clinical Disease Recurrence Using Laboratory Data in Surgically Resected Patients From the TOPPIC Trial

Fault diagnosis strategy for startup process based on standard operating procedures

Multi-sensor image registration based on geometric affine invariant

Increasing Sufu gene dosage reveals its unorthodoxical role in promoting polydactyly and medulloblastoma tumorigenesis

Increasing Sufu gene dosage reveals its unorthodox role in promoting polydactyly and medulloblastoma tumorigenesis

Protein phosphatase 4 promotes Hedgehog signaling through dephosphorylation of Suppressor of fused

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