Cargando…

DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM

With age, the number of prescribed medications increases and subsequently raises the risk for adverse drug-drug interactions. These adverse effects lower quality of life and increase health care costs. Quantifying the potential burden of adverse effects before prescribing medications can be a valuab...

Descripción completa

Detalles Bibliográficos
Autores principales:	Butkiewicz, Mariusz, Restrepo, Nicole A., Haines, Jonathan L., Crawford, Dana C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Medical Informatics Association 2016
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001747/ https://www.ncbi.nlm.nih.gov/pubmed/27570646

Ejemplares similares

Shared Genetic Etiology of Autoimmune Diseases in Patients from a Biorepository Linked to De-identified Electronic Health Records
por: Restrepo, Nicole A., et al.
Publicado: (2016)

Extracting Primary Open-Angle Glaucoma from Electronic Medical Records for Genetic Association Studies
por: Restrepo, Nicole A., et al.
Publicado: (2015)

Searching in the Dark: Phenotyping Diabetic Retinopathy in a De-Identified Electronic Medical Record Sample of African Americans
por: Restrepo, Nicole A., et al.
Publicado: (2016)

Automated extraction of clinical traits of multiple sclerosis in electronic medical records
por: Davis, Mary F, et al.
Publicado: (2013)

Identifying potential drugs that induce QT prolongation using electronic medical records
por: Liu, Mei, et al.
Publicado: (2010)

Local genetic ancestry in CDKN2B-AS1 is associated with primary open-angle glaucoma in an African American cohort extracted from de-identified electronic health records
por: Restrepo, Nicole A., et al.
Publicado: (2018)

An electronic medical records-based approach to identify idiosyncratic drug-induced liver injury in children
por: Sandritter, Tracy L., et al.
Publicado: (2019)

Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function
por: Wells, Quinn S, et al.
Publicado: (2014)

Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods
por: Christopoulou, Fenia, et al.
Publicado: (2019)

Evaluation of drug prescribing patterns and therapeutic drug monitoring practice using electronic medical records
por: Lee, Sangmi, et al.
Publicado: (2022)

Literature Based Drug Interaction Prediction with Clinical Assessment Using Electronic Medical Records: Novel Myopathy Associated Drug Interactions
por: Duke, Jon D., et al.
Publicado: (2012)

A Mixture Dose–Response Model for Identifying High-Dimensional Drug Interaction Effects on Myopathy Using Electronic Medical Record Databases
por: Zhang, P, et al.
Publicado: (2015)

Medication Therapy Management Versus Drug Regimen Review
por: Summers, Kent H.
Publicado: (2007)

Graphic Mining of High-Order Drug Interactions and Their Directional Effects on Myopathy Using Electronic Medical Records
por: Du, L, et al.
Publicado: (2015)

Accuracy of Administratively-Assigned Ancestry for Diverse Populations in an Electronic Medical Record-Linked Biobank
por: Hall, Jacob B., et al.
Publicado: (2014)

Screening of anticancer drugs to detect drug‐induced interstitial pneumonia using the accumulated data in the electronic medical record
por: Shimai, Yoshie, et al.
Publicado: (2018)

Detection of Drug-Induced Thrombocytopenia Signals in Children Using Routine Electronic Medical Records
por: Nie, Xiaolu, et al.
Publicado: (2021)

The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study
por: Dumitrescu, Logan, et al.
Publicado: (2015)

Introducing COCOS: codon consequence scanner for annotating reading frame changes induced by stop-lost and frame shift variants
por: Butkiewicz, Mariusz, et al.
Publicado: (2017)

Perspectives on electronic medical records adoption: electronic medical records (EMR) in outcomes research
por: Belletti, Dan, et al.
Publicado: (2010)

Interactive Surgical Depiction for the Electronic Medical Record
por: Lerner, Julia
Publicado: (2018)

Automated Detection of Systematic Off-label Drug Use in Free Text of Electronic Medical Records
por: Jung, Kenneth, et al.
Publicado: (2013)

Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records
por: Taewijit, Siriwon, et al.
Publicado: (2017)

A computational method to quantitatively measure pediatric drug safety using electronic medical records
por: Yu, Gang, et al.
Publicado: (2020)

Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy
por: Park, Young-Taek, et al.
Publicado: (2020)

Developing an Algorithm to Identify History of Cancer Using Electronic Medical Records
por: Clarke, Christina L., et al.
Publicado: (2016)

Use of an electronic medical record dashboard to identify gaps in osteoporosis care
por: Papaioannou, A., et al.
Publicado: (2021)

Data-Driven Information Extraction from Chinese Electronic Medical Records
por: Xu, Dong, et al.
Publicado: (2015)

Using Linked Data for Mining Drug-Drug Interactions in Electronic Health Records
por: Pathak, Jyotishman, et al.
Publicado: (2013)

Structured override reasons for drug-drug interaction alerts in electronic health records
por: Wright, Adam, et al.
Publicado: (2019)

Electronic Health Record–Related Events in Medical Malpractice Claims
por: Graber, Mark L., et al.
Publicado: (2019)

Corrigendum to “Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records”
por: Taewijit, Siriwon, et al.
Publicado: (2018)

An electronic health record driven algorithm to identify incident antidepressant medication users
por: Bobo, William V, et al.
Publicado: (2014)

Using Electronic Medical Records to Identify Enhanced Recovery After Surgery Cases
por: Freeman, Nikki L. B., et al.
Publicado: (2019)

Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records
por: Brouwer, Emily S., et al.
Publicado: (2021)

An algorithm to identify cases of pulmonary arterial hypertension from the electronic medical record
por: Schuler, Kyle P., et al.
Publicado: (2022)

Electronic medical record and glaucoma medications: connecting the medication reconciliation with adherence
por: Bacon, Thomas S, et al.
Publicado: (2016)

Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese
por: Tissot, Hegler, et al.
Publicado: (2019)

A Drug by Any Other Name: Patients' Ability to Identify Medication Regimens and Its Association With Adherence and Health Outcomes
por: Lenahan, Jennifer L., et al.
Publicado: (2013)

Electronic medical records--promises, promises!
por: Gorman, C. A.
Publicado: (1998)

Cannot write session to /tmp/vufind_sessions/sess_de4l30cdf16b6q96oqkilpmtkc