keyword
MENU ▼
Read by QxMD icon Read
search

"Natural Language Processing"

keyword
https://www.readbyqxmd.com/read/28529113/integrating-natural-language-processing-expertise-with-patient-safety-event-review-committees-to-improve-the-analysis-of-medication-events
#1
Allan Fong, Nicole Harriott, Donna M Walters, Hanan Foley, Richard Morrissey, Raj R Ratwani
OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports. METHODS: Natural language processing (NLP) experts collaborated with clinical experts on a patient safety committee to assist in the identification and analysis of medication related patient safety events...
May 11, 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28524623/upper-gastrointestinal-complications-following-ablation-therapy-for-atrial-fibrillation
#2
S-Y Park, M Camilleri, D Packer, K Monahan
BACKGROUND: Following ablation therapy for cardiac arrhythmias, patients may develop upper gastrointestinal (UGI) symptoms. The vagus nerve is close to the atria and may be affected by ablating energy. AIM: To identify structural or functional complications in UGI tract following ablation for atrial fibrillation (AF) and clinical outcomes and association with vagal dysfunction. METHODS: Using natural language processing of electronic medical records and an AF ablation database of 5380 patients treated during 17 years, we identified 40 patients with UGI complications...
May 19, 2017: Neurogastroenterology and Motility: the Official Journal of the European Gastrointestinal Motility Society
https://www.readbyqxmd.com/read/28508775/semantic-technologies-for-re-use-of-clinical-routine-data
#3
Markus Kreuzthaler, Catalina Martínez-Costa, Peter Kaiser, Stefan Schulz
Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and semantically explicit form is a prerequisite for querying and information extraction. The core of the system architecture presented in this paper is based on SAP HANA in-memory database technology using the SAP Connected Health platform for data integration as well as for clinical data warehousing...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28506958/enhancing-comparative-effectiveness-research-with-automated-pediatric-pneumonia-detection-in-a-multi-institutional-clinical-repository-a-phis-pilot-study
#4
Stephane Meystre, Ramkiran Gouripeddi, Joel Tieder, Jeffrey Simmons, Rajendu Srivastava, Samir Shah
BACKGROUND: Community-acquired pneumonia is a leading cause of pediatric morbidity. Administrative data are often used to conduct comparative effectiveness research (CER) with sufficient sample sizes to enhance detection of important outcomes. However, such studies are prone to misclassification errors because of the variable accuracy of discharge diagnosis codes. OBJECTIVE: The aim of this study was to develop an automated, scalable, and accurate method to determine the presence or absence of pneumonia in children using chest imaging reports...
May 15, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28506904/ordinal-convolutional-neural-networks-for-predicting-rdoc-positive-valence-psychiatric-symptom-severity-scores
#5
Anthony Rios, Ramakanth Kavuluru
BACKGROUND: The CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing (NLP) provided a set of 1000 neuropsychiatric notes to participants as part of a competition to predict psychiatric symptom severity scores. This paper summarizes our methods, results, and experiences based on our participation in the second track of the shared task. OBJECTIVE: Classical methods of text classification usually fall into one of three problem types: binary, multi-class, and multi-label classification...
May 12, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28505027/automated-surveillance-of-healthcare-associated-infections-state-of-the-art
#6
Meander E Sips, Marc J M Bonten, Maaike S M van Mourik
PURPOSE OF REVIEW: This review describes recent advances in the field of automated surveillance of healthcare-associated infections (HAIs), with a focus on data sources and the development of semiautomated or fully automated algorithms. RECENT FINDINGS: The availability of high-quality data in electronic health records and a well-designed information technology (IT) infrastructure to access these data are indispensable for successful implementation of automated HAI surveillance...
May 12, 2017: Current Opinion in Infectious Diseases
https://www.readbyqxmd.com/read/28495342/a-method-for-cohort-selection-of-cardiovascular-disease-records-from-an-electronic-health-record-system
#7
Maria Tereza Fernandes Abrahão, Moacyr Roberto Cuce Nobre, Marco Antonio Gutierrez
INTRODUCTION: An electronic healthcare record (EHR) system, when used by healthcare providers, improves the quality of care for patients and helps to lower costs. Information collected from manual or electronic health records can also be used for purposes not directly related to patient care delivery, in which case it is termed secondary use. EHR systems facilitate the collection of this secondary use data, which can be used for research purposes like observational studies, taking advantage of improvement in the structuring and retrieval of patient information...
June 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28494123/ecological-momentary-interventions-for-depression-and-anxiety
#8
Stephen M Schueller, Adrian Aguilera, David C Mohr
Ecological momentary interventions (EMIs) are becoming more popular and more powerful resources for the treatment and prevention of depression and anxiety due to advances in technological capacity and analytic sophistication. Previous work has demonstrated that EMIs can be effective at reducing symptoms of depression and anxiety as well as related outcomes of stress and at increasing positive psychological functioning. In this review, we highlight the differences between EMIs and other forms of treatment due to the nature of EMIs to be deeply integrated into the fabric of people's day-to-day lives...
May 11, 2017: Depression and Anxiety
https://www.readbyqxmd.com/read/28476609/focal-cystic-pancreatic-lesion-follow-up-recommendations-after-publication-of-acr-white-paper-on-managing-incidental%C3%A2-findings
#9
Mark D Bobbin, Ivan K Ip, V Anik Sahni, Atul B Shinagare, Ramin Khorasani
PURPOSE: To describe the variation in radiologists' follow-up recommendations for focal cystic pancreatic lesions (FCPL) after publication of the 2010 ACR incidental findings White Paper and determine adherence to guidance of the ACR Incidental Findings Committee. METHODS: Institutional Review Board approval was obtained for this retrospective, HIPAA-compliant observational study. Patients with FCPL were identified from abdominal CT and MRI reports generated in 2013 using natural language processing software...
May 2, 2017: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/28476375/provider-specific-quality-measurement-for-ercp-using-natural-language-processing
#10
Timothy D Imler, Stuart Sherman, Thomas F Imperiale, Huiping Xu, Fangqian Ouyang, Christopher Beesley, Charity Hilton, Gregory A Coté
BACKGROUND: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measures for colonoscopy. There are no systematic methods by which to track adherence to quality measures for ERCP, the highest risk endoscopic procedure widely used in practice. AIM: Our aim was to demonstrate the feasibility of using NLP to measure adherence to ERCP quality indicators across individual providers. METHODS: ERCPs performed by 6 providers at a single institution from 2006 to 2014 were identified...
May 2, 2017: Gastrointestinal Endoscopy
https://www.readbyqxmd.com/read/28475153/an-innovative-method-for-monitoring-food-quality-and-the-healthfulness-of-consumers-grocery-purchases
#11
Le-Thuy T Tran, Philip J Brewster, Valliammai Chidambaram, John F Hurdle
This study presents a method laying the groundwork for systematically monitoring food quality and the healthfulness of consumers' point-of-sale grocery purchases. The method automates the process of identifying United States Department of Agriculture (USDA) Food Patterns Equivalent Database (FPED) components of grocery food items. The input to the process is the compact abbreviated descriptions of food items that are similar to those appearing on the point-of-sale sales receipts of most food retailers. The FPED components of grocery food items are identified using Natural Language Processing techniques combined with a collection of food concept maps and relationships that are manually built using the USDA Food and Nutrient Database for Dietary Studies, the USDA National Nutrient Database for Standard Reference, the What We Eat In America food categories, and the hierarchical organization of food items used by many grocery stores...
May 5, 2017: Nutrients
https://www.readbyqxmd.com/read/28472397/olelo-a-web-application-for-intuitive-exploration-of-biomedical-literature
#12
Milena Kraus, Julian Niedermeier, Marcel Jankrift, Sören Tietböhl, Toni Stachewicz, Hendrik Folkerts, Matthias Uflacker, Mariana Neves
Researchers usually query the large biomedical literature in PubMed via keywords, logical operators and filters, none of which is very intuitive. Question answering systems are an alternative to keyword searches. They allow questions in natural language as input and results reflect the given type of question, such as short answers and summaries. Few of those systems are available online but they experience drawbacks in terms of long response times and they support a limited amount of question and result types...
May 3, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28469429/a-machine-learning-approach-to-evaluating-illness-induced-religious-struggle
#13
Joshua Glauser, Brian Connolly, Paul Nash, Daniel H Grossoehme
Religious or spiritual struggles are clinically important to health care chaplains because they are related to poorer health outcomes, involving both mental and physical health problems. Identifying persons experiencing religious struggle poses a challenge for chaplains. One potentially underappreciated means of triaging chaplaincy effort are prayers written in chapel notebooks. We show that religious struggle can be identified in these notebooks through instances of negative religious coping, such as feeling anger or abandonment toward God...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28468748/twimed-twitter-and-pubmed-comparable-corpus-of-drugs-diseases-symptoms-and-their-relations
#14
Nestor Alvaro, Yusuke Miyao, Nigel Collier
BACKGROUND: Work on pharmacovigilance systems using texts from PubMed and Twitter typically target at different elements and use different annotation guidelines resulting in a scenario where there is no comparable set of documents from both Twitter and PubMed annotated in the same manner. OBJECTIVE: This study aimed to provide a comparable corpus of texts from PubMed and Twitter that can be used to study drug reports from these two sources of information, allowing researchers in the area of pharmacovigilance using natural language processing (NLP) to perform experiments to better understand the similarities and differences between drug reports in Twitter and PubMed...
May 3, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28466087/canary-an-nlp-platform-for-clinicians-and-researchers
#15
Shervin Malmasi, Nicolae L Sandor, Naoshi Hosomura, Matt Goldberg, Stephen Skentzos, Alexander Turchin
Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience...
May 3, 2017: Applied Clinical Informatics
https://www.readbyqxmd.com/read/28455151/symptom-severity-prediction-from-neuropsychiatric-clinical-records-overview-of-2016-cegs-n-grid-shared-tasks-track-2
#16
Michele Filannino, Amber Stubbs, Özlem Uzuner
The second track of the CEGS N-GRID 2016 natural language processing shared tasks focused on predicting symptom severity from neuropsychiatric clinical records. For the first time, initial psychiatric evaluation records have been collected, de-identified, annotated and shared with the scientific community. One-hundred-ten researchers organized in twenty-four teams participated in this track and submitted sixty-five system runs for evaluation. The top ten teams each achieved an inverse normalized macro-averaged mean absolute error score over 0...
April 25, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28447835/it-doesn-t-hurt-to-ask-question-asking-increases-liking
#17
Karen Huang, Michael Yeomans, Alison Wood Brooks, Julia Minson, Francesca Gino
Conversation is a fundamental human experience that is necessary to pursue intrapersonal and interpersonal goals across myriad contexts, relationships, and modes of communication. In the current research, we isolate the role of an understudied conversational behavior: question-asking. Across 3 studies of live dyadic conversations, we identify a robust and consistent relationship between question-asking and liking: people who ask more questions, particularly follow-up questions, are better liked by their conversation partners...
April 27, 2017: Journal of Personality and Social Psychology
https://www.readbyqxmd.com/read/28447098/application-of-natural-language-processing-and-network-analysis-techniques-to-post-market-reports-for-the-evaluation-of-dose-related-anti-thymocyte-globulin-safety-patterns
#18
Taxiarchis Botsis, Matthew Foster, Nina Arya, Kory Kreimeyer, Abhishek Pandey, Deepa Arya
OBJECTIVE: To evaluate the feasibility of automated dose and adverse event information retrieval in supporting the identification of safety patterns. METHODS: We extracted all rabbit Anti-Thymocyte Globulin (rATG) reports submitted to the United States Food and Drug Administration Adverse Event Reporting System (FAERS) from the product's initial licensure in April 16, 1984 through February 8, 2016. We processed the narratives using the Medication Extraction (MedEx) and the Event-based Text-mining of Health Electronic Records (ETHER) systems and retrieved the appropriate medication, clinical, and temporal information...
April 26, 2017: Applied Clinical Informatics
https://www.readbyqxmd.com/read/28444127/hla-class-i-binding-prediction-via-convolutional-neural-networks
#19
Yeeleng S Vang, Xiaohui Xie
Motivation: Many biological processes are governed by protein-ligand interactions. One such example is the recognition of self and nonself cells by the immune system. This immune response process is regulated by the major histocompatibility complex (MHC) protein which is encoded by the human leukocyte antigen (HLA) complex. Understanding the binding potential between MHC and peptides can lead to the design of more potent, peptide-based vaccines and immunotherapies for infectious autoimmune diseases...
April 21, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28441940/clinical-records-anonymisation-and-text-extraction-crate-an-open-source-software-system
#20
REVIEW
Rudolf N Cardinal
BACKGROUND: Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent. RESULTS: This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research...
April 26, 2017: BMC Medical Informatics and Decision Making
keyword
keyword
27002
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"