Search Results - "Friedman, Carol"
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Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media
Published in Briefings in bioinformatics (28-09-2018)“…Abstract Drug-drug interactions (DDIs) constitute an important concern in drug development and postmarketing pharmacovigilance. They are considered the cause…”
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Similarity-based modeling in large-scale prediction of drug-drug interactions
Published in Nature protocols (01-09-2014)“…The authors of this protocol describe a similarity-based, large-scale approach to predicting novel drug-drug interactions (DDIs) integrating a reference…”
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Drug-drug interaction through molecular structure similarity analysis
Published in Journal of the American Medical Informatics Association : JAMIA (01-11-2012)“…Drug-drug interactions (DDIs) are responsible for many serious adverse events; their detection is crucial for patient safety but is very challenging…”
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Mining multi-item drug adverse effect associations in spontaneous reporting systems
Published in BMC bioinformatics (28-10-2010)“…Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in…”
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Proton pump inhibitors and risk for recurrent Clostridium difficile infection among inpatients
Published in The American journal of gastroenterology (01-11-2013)“…Observational studies suggest that proton pump inhibitors (PPIs) are a risk factor for incident Clostridium difficile infection (CDI). Data also suggest an…”
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Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes
Published in American journal of human genetics (05-07-2018)“…Integration of detailed phenotype information with genetic data is well established to facilitate accurate diagnosis of hereditary disorders. As a rich source…”
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Detection of drug-drug interactions by modeling interaction profile fingerprints
Published in PloS one (08-03-2013)“…Drug-drug interactions (DDIs) constitute an important problem in postmarketing pharmacovigilance and in the development of new drugs. The effectiveness or…”
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Using Rich Data on Comorbidities in Case-Control Study Design with Electronic Health Record Data Improves Control of Confounding in the Detection of Adverse Drug Reactions
Published in PloS one (07-10-2016)“…Recent research has suggested that the case-control study design, unlike the self-controlled study design, performs poorly in controlling confounding in the…”
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Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
Published in Journal of the American Medical Informatics Association : JAMIA (01-05-2013)“…Data-mining algorithms that can produce accurate signals of potentially novel adverse drug reactions (ADRs) are a central component of pharmacovigilance. We…”
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Automated encoding of clinical documents based on natural language processing
Published in Journal of the American Medical Informatics Association : JAMIA (01-09-2004)“…The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with…”
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Annual Report to the Nation on the Status of Cancer, 1975–2002, Featuring Population-Based Trends in Cancer Treatment
Published in JNCI : Journal of the National Cancer Institute (05-10-2005)“…Background: The American Cancer Society (ACS), the Centers for Disease Control and Prevention (CDC), the National Cancer Institute (NCI), and the North…”
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A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research
Published in BMC medical informatics and decision making (04-04-2019)“…A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is…”
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A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records
Published in Journal of the American Medical Informatics Association : JAMIA (01-03-2014)“…Electronic health records (EHRs) contain information to detect adverse drug reactions (ADRs), as they contain comprehensive clinical information. A major…”
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Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitis
Published in PloS one (24-07-2012)“…Adverse drug events (ADEs) detection and assessment is at the center of pharmacovigilance. Data mining of systems, such as FDA's Adverse Event Reporting System…”
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Monitoring prescribing patterns using regression and electronic health records
Published in BMC medical informatics and decision making (19-12-2017)“…It is beneficial for health care institutions to monitor physician prescribing patterns to ensure that high-quality and cost-effective care is being provided…”
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GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles
Published in Bioinformatics (Oxford, England) (01-06-2001)“…Systems that extract structured information from natural language passages have been highly successful in specialized domains. The time is opportune for…”
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Discovering disease associations by integrating electronic clinical data and medical literature
Published in PloS one (23-06-2011)“…Electronic health record (EHR) systems offer an exceptional opportunity for studying many diseases and their associated medical conditions within a population…”
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Predicting monoamine oxidase inhibitory activity through ligand-based models
Published in Current topics in medicinal chemistry (01-10-2012)“…The evolution of bio- and cheminformatics associated with the development of specialized software and increasing computer power has produced a great interest…”
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Descriptive epidemiology of colorectal cancer in the United States, 1998–2001
Published in Cancer (01-09-2006)“…This article presents an overview of the descriptive epidemiology of colorectal cancer (CRC) in the United States and provides detailed methodologic…”
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State of the art and development of a drug-drug interaction large scale predictor based on 3D pharmacophoric similarity
Published in Current drug metabolism (01-01-2014)“…Co-administration of drugs is a primary cause of Adverse Drug Reactions (ADRs) and a drain on the health care industry costing billions of dollars and reducing…”
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