AIMC Topic: Drug Therapy

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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research Sep 12, 2017
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topi...
Influenza, Human Drug Therapy Disease Outbreaks Social Media Machine Learning Public Health Humans
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Network mirroring for drug repositioning.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there...
Humans Drug Therapy Knowledge Discovery Disease Proteins Drug Repositioning Data Mining Machine Learning Computational Biology
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Learning disease relationships from clinical drug trials.

Journal of the American Medical Informatics Association : JAMIA May 17, 2016
OBJECTIVE: Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge...
Humans Machine Learning Disease Vocabulary, Controlled Drug Evaluation Drug Therapy Metadata Medical Subject Headings Clinical Trials as Topic Area Under Curve Data Mining
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Magnetic nanoparticles and nanocomposites for remote controlled therapies.

Journal of controlled release : official journal of the Controlled Release Society Sep 25, 2015
This review highlights the state-of-the-art in the application of magnetic nanoparticles (MNPs) and their composites for remote controlled therapies. Novel macro- to nano-scale systems that utilize remote controlled drug release due to actuation of M...
Nanoparticles Robotics Magnetic Phenomena Drug Delivery Systems Animals Humans Drug Therapy Combined Modality Therapy Nanocomposites
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Clinical Documents Clustering Based on Medication/Symptom Names Using Multi-View Nonnegative Matrix Factorization.

IEEE transactions on nanobioscience May 21, 2015
Clinical documents are rich free-text data sources containing valuable medication and symptom information, which have a great potential to improve health care. In this paper, we build an integrating system for extracting medication names and symptom ...
Natural Language Processing Diagnosis, Computer-Assisted Drug Therapy Data Mining Humans Cluster Analysis Medical Records Algorithms Models, Statistical
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MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

IEEE journal of biomedical and health informatics Jun 1, 2025
Causal effect estimation of individual heterogeneity is a core issue in the field of causal inference, and its application in medicine poses an active and challenging problem. In high-risk decision-making domain such as healthcare, inappropriate trea...
Algorithms Humans Boosting Machine Learning Algorithms Drug Therapy Machine Learning
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Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: To develop an algorithm for building longitudinal medication dose datasets using information extracted from clinical notes in electronic health records (EHRs).
Natural Language Processing Pharmaceutical Preparations Information Storage and Retrieval Algorithms Electronic Health Records Drug Therapy Humans
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medExtractR: A targeted, customizable approach to medication extraction from electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research...
Humans Data Mining Electronic Health Records Programming Languages Natural Language Processing Drug Therapy Pharmaceutical Preparations Software Datasets as Topic Algorithms
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Learning to detect and understand drug discontinuation events from clinical narratives.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article...
Electronic Health Records Support Vector Machine Narration Humans Machine Learning Product Surveillance, Postmarketing Drug Therapy Area Under Curve Pharmacovigilance Natural Language Processing
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The Application of Machine Learning Techniques in Clinical Drug Therapy.

Current computer-aided drug design Jan 1, 2019
INTRODUCTION: The development of a novel drug is an extremely complicated process that includes the target identification, design and manufacture, and proper therapy of the novel drug, as well as drug dose selection, drug efficacy evaluation, and adv...
Machine Learning Drug Discovery Drug-Related Side Effects and Adverse Reactions Drug Therapy Decision Trees Humans
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