AIMC Topic: Drug Labeling

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Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology.

Journal of biomedical informatics Jun 1, 2018
INTRODUCTION: The FDA Adverse Event Reporting System (FAERS) is a primary data source for identifying unlabeled adverse events (AEs) in a drug or biologic drug product's postmarketing phase. Many AE reports must be reviewed by drug safety experts to ...
Terminology as Topic Adverse Drug Reaction Reporting Systems Drug Labeling United States Food and Drug Administration Pharmacovigilance Humans Natural Language Processing Drug-Related Side Effects and Adverse Reactions United States
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DrugSemantics: A corpus for Named Entity Recognition in Spanish Summaries of Product Characteristics.

Journal of biomedical informatics Jun 15, 2017
For the healthcare sector, it is critical to exploit the vast amount of textual health-related information. Nevertheless, healthcare providers have difficulties to benefit from such quantity of data during pharmacotherapeutic care. The problem is tha...
Drug Labeling Natural Language Processing Semantics Language Reproducibility of Results Humans
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Overlap in drug-disease associations between clinical practice guidelines and drug structured product label indications.

Journal of biomedical semantics Jun 8, 2016
BACKGROUND: Clinical practice guidelines (CPGs) recommend pharmacologic treatments for clinical conditions, and drug structured product labels (SPLs) summarize approved treatment indications. Both resources are intended to promote evidence-based medi...
Data Mining Practice Guidelines as Topic Drug Labeling Biological Ontologies Chronic Disease Pharmaceutical Preparations
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Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
With regular expressions and manual review, 18,342 FDA-approved drug product labels were processed to determine if the five standard pregnancy drug risk categories were mentioned in the label. After excluding 81 drugs with multiple-risk categories, 8...
Humans Risk Pregnancy Drug Labeling Female Pregnancy Complications Machine Learning Algorithms
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AI-Assisted Application for Pediatric Drug Dosing.

Studies in health technology and informatics Nov 22, 2024
Technology in the medical field is continuously advancing due to its numerous subdomains and the ever-growing medical needs of people. Information systems have become integral to doctors' daily routines in patient care, offering flexibility and suppo...
Machine Learning Algorithms Child Drug Dosage Calculations Humans Natural Language Processing Artificial Intelligence Pediatrics Romania Drug Labeling
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Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: To automatically construct a drug indication taxonomy from drug labels using generative Artificial Intelligence (AI) represented by the Large Language Model (LLM) GPT-4 and real-world evidence (RWE).
Humans Artificial Intelligence Classification Drug Labeling Natural Language Processing
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Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy.

Maternal and child health journal Jul 1, 2020
INTRODUCTION: Women and healthcare providers lack adequate information on medication safety during pregnancy. While resources describing fetal risk are available, information is provided in multiple locations, often with subjective assessments of ava...
Female Adult Supervised Machine Learning Humans Databases, Pharmaceutical Practice Patterns, Physicians' Drug Labeling Pregnancy Pregnancy Complications Prescription Drugs
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Searches for randomized controlled trials of drugs in MEDLINE and EMBASE using only generic drug names compared with searches applied in current practice in systematic reviews.

Research synthesis methods Jun 1, 2015
BACKGROUND: It is unclear which terms should be included in bibliographic searches for randomized controlled trials (RCTs) of drugs, and identifying relevant drug terms can be extremely laborious. The aim of our analysis was to determine whether a bi...
Review Literature as Topic Data Mining Vocabulary, Controlled Databases, Bibliographic MEDLINE Randomized Controlled Trials as Topic Natural Language Processing Drugs, Generic Drug Labeling Drug Evaluation
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Augmented Reality: Real-Time Information Concerning Medication Consumed by a Patient.

Studies in health technology and informatics Jan 1, 2015
This paper describes a mobile prototype capable of recognizing characters from a photograph of a medication package. The prototype was built to work on the iOS platform and was developed using Objective-C and C programming languages. The prototype, c...
Drug Labeling Natural Language Processing Patient Participation Self Medication Drug Monitoring Algorithms Drug Therapy, Computer-Assisted Computer Systems User-Computer Interface Remote Consultation Argentina Mobile Applications Computer Graphics
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