keyword
MENU ▼
Read by QxMD icon Read
search

NLP

keyword
https://www.readbyqxmd.com/read/27919387/impacts-of-structuring-the-electronic-health-record-results-of-a-systematic-literature-review-from-the-perspective-of-secondary-use-of-patient-data
#1
REVIEW
Riikka Vuokko, Päivi Mäkelä-Bengs, Hannele Hyppönen, Minna Lindqvist, Persephone Doupi
PURPOSE: To explore the impacts that structuring of electronic health records (EHRs) has had from the perspective of secondary use of patient data as reflected in currently published literature. This paper presents the results of a systematic literature review aimed at answering the following questions; (1) what are the common methods of structuring patient data to serve secondary use purposes; (2) what are the common methods of evaluating patient data structuring in the secondary use context, and (3) what impacts or outcomes of EHR structuring have been reported from the secondary use perspective...
January 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#2
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27899086/closantel-a-veterinary-drug-with-potential-severe-morbidity-in-humans
#3
Seyed Ali Tabatabaei, Mohammad Soleimani, Mohammad Reza Mansouri, Ahmad Mirshahi, Bahman Inanlou, Mojtaba Abrishami, Ahmad Reza Pakrah, Hamideh Masarat
BACKGROUND: Closantel is a halogenated salicylanilide with a potent anti parasitic activity. It is widely used in management of parasitic infestation in animals, but is contraindicated in humans. CASE PRESENTATION: A 34-year-old man with depression was referred to our center with progressive loss of vision in both eyes 10 days after unintentional ingestion of three 500 mg tablets of Closantel. On fundus examination, left optic disc margin was blurred. His bilateral visual acuity was no light perception (NLP) despite prescribed IV erythropoietin injections 20,000 units daily for 3 days and 1gr intravenous methylprednisolone acetate for 3 days followed by 1 mg/kg oral prednisolone...
November 29, 2016: BMC Ophthalmology
https://www.readbyqxmd.com/read/27889399/a-natural-language-processing-based-model-to-automate-mri-brain-protocol-selection-and-prioritization
#4
Andrew D Brown, Thomas R Marotta
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural language processing (NLP) models to determine whether NLP techniques could be employed to aid in clinical decision support for protocoling and prioritization of magnetic resonance imaging (MRI) brain examinations. MATERIALS AND METHODS: To test the feasibility of using an NLP model to support clinical decision making for MRI brain examinations, we designed three different medical imaging prediction tasks, each with a unique outcome: selecting an examination protocol, evaluating the need for contrast administration, and determining priority...
November 23, 2016: Academic Radiology
https://www.readbyqxmd.com/read/27882837/determining-multiple-sclerosis-phenotype-from-electronic-medical-records
#5
Richard E Nelson, Jorie Butler, Joanne LaFleur, Kristin Knippenberg, Aaron W C Kamauu, Scott L DuVall
BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classified into phenotypes depending on the patterns of cognitive or physical impairment progression: relapsing-remitting MS (RRMS), primary-progressive MS (PPMS), secondary-progressive MS (SPMS), or progressive-relapsing MS (PRMS). The phenotype is important in managing the disease and determining appropriate treatment. The ICD-9-CM code 340.0 is uninformative about MS phenotype, which increases the difficulty of studying the effects of phenotype on disease...
December 2016: Journal of Managed Care & Specialty Pharmacy
https://www.readbyqxmd.com/read/27857384/tunable-noise-like-pulse-generation-in-mode-locked-tm-fiber-laser-with-a-sesam
#6
Yutaka Mashiko, Eisuke Fujita, Masaki Tokurakawa
We report on a tunable noise-like pulse (NLP) generation in a mode-locked Tm fiber laser with a SESAM. A tuning range of 1895-1942 nm, while keeping the spectral bandwidth of 10-19 nm under NLP mode-locked operation, was obtained by a tunable filter based on chromatic dispersion of telescope lenses. At the center wavelength of 1928 nm, the maximum output power of 195 mW with the spectral bandwidth of 18.9 nm was obtained. The repetition rate was 20.5 MHz and the corresponding pulse energy was 9.5 nJ. To our knowledge, this is the first report of a tunable NLP mode-locked laser based on chromatic dispersion of a lens system...
November 14, 2016: Optics Express
https://www.readbyqxmd.com/read/27836816/web-based-real-time-case-finding-for-the-population-health-management-of-patients-with-diabetes-mellitus-a-prospective-validation-of-the-natural-language-processing-based-algorithm-with-statewide-electronic-medical-records
#7
Le Zheng, Yue Wang, Shiying Hao, Andrew Y Shin, Bo Jin, Anh D Ngo, Medina S Jackson-Browne, Daniel J Feller, Tianyun Fu, Karena Zhang, Xin Zhou, Chunqing Zhu, Dorothy Dai, Yunxian Yu, Gang Zheng, Yu-Ming Li, Doff B McElhinney, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng Bruce Ling
BACKGROUND: Diabetes case finding based on structured medical records does not fully identify diabetic patients whose medical histories related to diabetes are available in the form of free text. Manual chart reviews have been used but involve high labor costs and long latency. OBJECTIVE: This study developed and tested a Web-based diabetes case finding algorithm using both structured and unstructured electronic medical records (EMRs). METHODS: This study was based on the health information exchange (HIE) EMR database that covers almost all health facilities in the state of Maine, United States...
November 11, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27830256/clinical-natural-language-processing-in-2015-leveraging-the-variety-of-texts-of-clinical-interest
#8
A Névéol, P Zweigenbaum
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP). METHOD: A systematic review of the literature was performed by the two section editors of the IMIA Yearbook NLP section by searching bibliographic databases with a focus on NLP efforts applied to clinical texts or aimed at a clinical outcome. Section editors first selected a shortlist of candidate best papers that were then peer-reviewed by independent external reviewers...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27830255/aspiring-to-unintended-consequences-of-natural-language-processing-a-review-of-recent-developments-in-clinical-and-consumer-generated-text-processing
#9
D Demner-Fushman, N Elhadad
OBJECTIVES: This paper reviews work over the past two years in Natural Language Processing (NLP) applied to clinical and consumer-generated texts. METHODS: We included any application or methodological publication that leverages text to facilitate healthcare and address the health-related needs of consumers and populations. RESULTS: Many important developments in clinical text processing, both foundational and task-oriented, were addressed in community- wide evaluations and discussed in corresponding special issues that are referenced in this review...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27826610/identification-of-long-bone-fractures-in-radiology-reports-using-natural-language-processing-to-support-healthcare-quality-improvement
#10
Robert W Grundmeier, Aaron J Masino, T Charles Casper, Jonathan M Dean, Jamie Bell, Rene Enriquez, Sara Deakyne, James M Chamberlain, Elizabeth R Alpern
BACKGROUND: Important information to support healthcare quality improvement is often recorded in free text documents such as radiology reports. Natural language processing (NLP) methods may help extract this information, but these methods have rarely been applied outside the research laboratories where they were developed. OBJECTIVE: To implement and validate NLP tools to identify long bone fractures for pediatric emergency medicine quality improvement. METHODS: Using freely available statistical software packages, we implemented NLP methods to identify long bone fractures from radiology reports...
November 9, 2016: Applied Clinical Informatics
https://www.readbyqxmd.com/read/27813310/identifying-axial-spondyloarthritis-in-electronic-medical-records-of-united-states-veterans
#11
Jessica A Walsh, Yijun Shao, Jianwei Leng, Tao He, Chia-Chen Teng, Doug Redd, Qing Treitler Zeng, Zachary Burningham, Daniel O Clegg, Brian C Sauer
OBJECTIVE: Large database research in axial spondyloarthritis (AxSpA) is limited by a lack of methods for identifying most types of AxSpA. Our objective was to develop methods for identifying AxSpA concepts in the free text of documents from electronic medical records. METHODS: Veterans with documents in the national Veteran Health Administration Corporate Data Warehouse between January 1, 2005 and June 30, 2015 were included. Methods were developed for exploring, selecting, and extracting meaningful terms that were likely to represent AxSpA concepts...
November 3, 2016: Arthritis Care & Research
https://www.readbyqxmd.com/read/27793791/natural-language-processing-enabled-and-conventional-data-capture-methods-for-input-to-electronic-health-records-a-comparative-usability-study
#12
David R Kaufman, Barbara Sheehan, Peter Stetson, Ashish R Bhatt, Adele I Field, Chirag Patel, James Mark Maisel
BACKGROUND: The process of documentation in electronic health records (EHRs) is known to be time consuming, inefficient, and cumbersome. The use of dictation coupled with manual transcription has become an increasingly common practice. In recent years, natural language processing (NLP)-enabled data capture has become a viable alternative for data entry. It enables the clinician to maintain control of the process and potentially reduce the documentation burden. The question remains how this NLP-enabled workflow will impact EHR usability and whether it can meet the structured data and other EHR requirements while enhancing the user's experience...
October 28, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27789357/drug-distribution-in-nanostructured-lipid-particles
#13
Siavash Saeidpour, Silke B Lohan, Agnieszka Solik, Victoria Paul, Roland Bodmeier, Gaith Zoubari, Robert Bittl, Martina C Meinke, Christian Teutloff
The targeted design of nanoparticles for efficient drug loading and defined release profiles is even after 25 years of research on lipid-based nanoparticles still no routine procedure. It requires detailed knowledge about the interaction of the drug with the lipid compounds and about its localisation and distribution in the nanoparticle. We present here an investigation on nano-sized lipid particles (NLP) composed of Gelucire and Witepsol as solid lipids, and Capryol as liquid lipid, loaded with Dexamethasone, a glucocorticoid used in topical treatment of inflammatory dermal diseases...
October 24, 2016: European Journal of Pharmaceutics and Biopharmaceutics
https://www.readbyqxmd.com/read/27774448/psoriasis-specific-rna-isoforms-identified-by-rna-seq-analysis-of-173-446-transcripts
#14
Sulev Kõks, Maris Keermann, Ene Reimann, Ele Prans, Kristi Abram, Helgi Silm, Gea Kõks, Kulli Kingo
BACKGROUND: Several studies have been published that investigated potential links between transcriptome changes and psoriasis using microarrays and RNA-seq technologies, but no previous study has analyzed expression profile of alternatively spliced transcripts in psoriasis. OBJECTIVES: Identification of potential alternatively spliced RNA isoforms with disease-specific expression profile. METHODS: Using our published RNA sequencing data from lesional psoriatic (LP), non-lesional psoriatic (NLP), and normal control skin (C), we analyzed the differential expression of RNA splicing variants...
2016: Frontiers in Medicine
https://www.readbyqxmd.com/read/27752278/novel-use-of-natural-language-processing-nlp-to-predict-suicidal-ideation-and-psychiatric-symptoms-in-a-text-based-mental-health-intervention-in-madrid
#15
Benjamin L Cook, Ana M Progovac, Pei Chen, Brian Mullin, Sherry Hou, Enrique Baca-Garcia
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data...
2016: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/27744128/assessing-occurrence-of-hypoglycemia-and-its-severity-from-electronic-health-records-of-patients-with-type-2-diabetes-mellitus
#16
Anthony P Nunes, Jing Yang, Larry Radican, Samuel S Engel, Karen Kurtyka, Kaan Tunceli, Shengsheng Yu, Kristy Iglay, Michael C Doherty, David D Dore
AIMS: Accurate measures of hypoglycemia within electronic health records (EHR) can facilitate clinical population management and research. We quantify the occurrence of serious and mild-to-moderate hypoglycemia in a large EHR database in the US, comparing estimates based only on structured data to those from structured data and natural language processing (NLP) of clinical notes. METHODS: This cohort study included patients with type 2 diabetes identified from January 2009 through March 2014...
September 21, 2016: Diabetes Research and Clinical Practice
https://www.readbyqxmd.com/read/27729304/ibm-watson-analytics-automating-visualization-descriptive-and-predictive-statistics
#17
Robert Eugene Hoyt, Dallas Snider, Carla Thompson, Sarita Mantravadi
BACKGROUND: We live in an era of explosive data generation that will continue to grow and involve all industries. One of the results of this explosion is the need for newer and more efficient data analytics procedures. Traditionally, data analytics required a substantial background in statistics and computer science. In 2015, International Business Machines Corporation (IBM) released the IBM Watson Analytics (IBMWA) software that delivered advanced statistical procedures based on the Statistical Package for the Social Sciences (SPSS)...
October 11, 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27683671/concordium-2015-strategic-uses-of-evidence-to-transform-delivery-systems
#18
Erin Holve, Samantha Weiss
In September 2015 the EDM Forum hosted AcademyHealth's newest national conference, Concordium. The 11 papers featured in the eGEMs "Concordium 2015" special issue successfully reflect the major themes and issues discussed at the meeting. Many of the papers address informatics or methodological approaches to natural language processing (NLP) or text analysis, which is indicative of the importance of analyzing text data to gain insights into care coordination and patient-centered outcomes. Perspectives on the tools and infrastructure requirements that are needed to build learning health systems were also recurrent themes...
2016: EGEMS
https://www.readbyqxmd.com/read/27683667/v3nlp-framework-tools-to-build-applications-for-extracting-concepts-from-clinical-text
#19
Guy Divita, Marjorie E Carter, Le-Thuy Tran, Doug Redd, Qing T Zeng, Scott Duvall, Matthew H Samore, Adi V Gundlapalli
INTRODUCTION: Substantial amounts of clinically significant information are contained only within the narrative of the clinical notes in electronic medical records. The v3NLP Framework is a set of "best-of-breed" functionalities developed to transform this information into structured data for use in quality improvement, research, population health surveillance, and decision support. BACKGROUND: MetaMap, cTAKES and similar well-known natural language processing (NLP) tools do not have sufficient scalability out of the box...
2016: EGEMS
https://www.readbyqxmd.com/read/27683664/using-machine-learning-and-natural-language-processing-algorithms-to-automate-the-evaluation-of-clinical-decision-support-in-electronic-medical-record-systems
#20
Donald A Szlosek, Jonathan Ferrett
INTRODUCTION: As the number of clinical decision support systems (CDSSs) incorporated into electronic medical records (EMRs) increases, so does the need to evaluate their effectiveness. The use of medical record review and similar manual methods for evaluating decision rules is laborious and inefficient. The authors use machine learning and Natural Language Processing (NLP) algorithms to accurately evaluate a clinical decision support rule through an EMR system, and they compare it against manual evaluation...
2016: EGEMS
keyword
keyword
26819
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"