AIMC Topic: Infliximab
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The use of natural language processing of infusion notes to identify outpatient infusions.
Pharmacoepidemiology and drug safety
Nov 17, 2014
PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if the...
Developing a Machine-Learning Prediction Model for Infliximab Response in Crohn's Disease: Integrating Clinical Characteristics and Longitudinal Laboratory Trends.
Inflammatory bowel diseases
May 12, 2025
BACKGROUND: Achieving long-term clinical remission in Crohn's disease (CD) with antitumor necrosis factor α (anti-TNF-α) agents remains challenging.
Identification of Diagnosis and Typological Characteristics Associated with Ferroptosis for Ulcerative Colitis Bioinformatics and Machine Learning.
Endocrine, metabolic & immune disorders drug targets
Jan 1, 2024
OBJECTIVE: To investigate and validate ferroptosis genes (FRGs) in ulcerative colitis (UC) for diagnostic, subtype, and biological agent reactivity, with the goal of providing a foundation for the identification of novel therapeutic targets and the r...
Deep learning conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.
World journal of gastroenterology
Oct 14, 2021
BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD) rely on using statistical regression approaches to deriving clinical scores such as the Crohn's disease (CD) activity index. However, traditional app...
Dosing interval and diagnosis predict infliximab levels in patients with inflammatory bowel disease on maintenance treatment.
Acta gastro-enterologica Belgica
Jan 1, 2018
OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (TL) in patients with inflammatory bowel disease (IBD).
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