AIMC Topic: Drug Prescriptions
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Automatic Extraction of Medication Data from Semi-Structured Prescriptions.
Studies in health technology and informatics
Aug 22, 2024
In many healthcare facilities, the prescription of drugs is done only in a semi-structured manner, using free-text fields where various information is often mixed. Therefore, automatic processing, especially for secondary use such as research purpose...
Deep learning application to automated classification of recommendations made by hospital pharmacists during medication prescription review.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
May 24, 2024
PURPOSE: Recommendations to improve therapeutics are proposals made by pharmacists during the prescription review process to address suboptimal use of medicines. Recommendations are generated daily as text documents but are rarely reused beyond their...
REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.
Studies in health technology and informatics
May 25, 2022
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...
Can AI Fix Medical Records?
Nature
Dec 1, 2019
An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.
Studies in health technology and informatics
Aug 21, 2019
Prescription information and adverse drug reactions (ADR) are two components of detailed medication instructions that can benefit many aspects of clinical research. Automatic extraction of this information from free-text narratives via Information Ex...
Machine-learning-assisted selection of antibiotic prescription.
Nature medicine
Jul 1, 2019
Artificial intelligence can improve decision-making in infection management.
Nature human behaviour
Jun 1, 2019
Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2018
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.
Computational health economics for identification of unprofitable health care enrollees.
Biostatistics (Oxford, England)
Oct 1, 2017
Health insurers may attempt to design their health plans to attract profitable enrollees while deterring unprofitable ones. Such insurers would not be delivering socially efficient levels of care by providing health plans that maximize societal benef...
Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.
Journal of Crohn's & colitis
Jul 1, 2017
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...
ROC Curve
Female
Treatment Outcome
Hospitalization
Algorithms
Adult
Immunosuppressive Agents
Young Adult
Inflammatory Bowel Diseases
Male
Adolescent
Retrospective Studies
Middle Aged
Medication Adherence
Azathioprine
Humans
Mercaptopurine
Area Under Curve
Machine Learning
Remission Induction
Drug Prescriptions
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