AMIA Annu Symp Proc - Detecting abbreviations in discharge summaries using machine learning methods.

Tópicos

{ extract(1171) text(1153) clinic(932) }
{ learn(2355) train(1041) set(1003) }
{ model(2656) set(1616) predict(1553) }
{ case(1353) use(1143) diagnosi(1136) }
{ record(1888) medic(1808) patient(1693) }
{ patient(1821) servic(1111) care(1106) }
{ featur(3375) classif(2383) classifi(1994) }
{ measur(2081) correl(1212) valu(896) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ search(2224) databas(1162) retriev(909) }
{ system(1050) medic(1026) inform(1018) }
{ perform(1367) use(1326) method(1137) }
{ health(3367) inform(1360) care(1135) }
{ imag(1947) propos(1133) code(1026) }
{ system(1976) rule(880) can(841) }
{ network(2748) neural(1063) input(814) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(1557) propos(1049) approach(1037) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ perform(999) metric(946) measur(919) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ research(1218) medic(880) student(794) }
{ time(1939) patient(1703) rate(768) }
{ use(1733) differ(960) four(931) }
{ detect(2391) sensit(1101) algorithm(908) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ imag(2830) propos(1344) filter(1198) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ method(984) reconstruct(947) comput(926) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

Recognition and identification of abbreviations is an important, challenging task in clinical natural language processing (NLP). A comprehensive lexical resource comprised of all common, useful clinical abbreviations would have great applicability. The authors present a corpus-based method to create a lexical resource of clinical abbreviations using machine-learning (ML) methods, and tested its ability to automatically detect abbreviations from hospital discharge summaries. Domain experts manually annotated abbreviations in seventy discharge summaries, which were randomly broken into a training set (40 documents) and a test set (30 documents). We implemented and evaluated several ML algorithms using the training set and a list of pre-defined features. The subsequent evaluation using the test set showed that the Random Forest classifier had the highest F-measure of 94.8% (precision 98.8% and recall of 91.2%). When a voting scheme was used to combine output from various ML classifiers, the system achieved the highest F-measure of 95.7%.

Resumo Limpo

recognit identif abbrevi import challeng task clinic natur languag process nlp comprehens lexic resourc compris common use clinic abbrevi great applic author present corpusbas method creat lexic resourc clinic abbrevi use machinelearn ml method test abil automat detect abbrevi hospit discharg summari domain expert manual annot abbrevi seventi discharg summari random broken train set document test set document implement evalu sever ml algorithm use train set list predefin featur subsequ evalu use test set show random forest classifi highest fmeasur precis recal vote scheme use combin output various ml classifi system achiev highest fmeasur

Resumos Similares

J Am Med Inform Assoc - Automatic discourse connective detection in biomedical text. ( 0,86707812633795 )
J Am Med Inform Assoc - 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. ( 0,861489033829444 )
J Am Med Inform Assoc - Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. ( 0,860003555722627 )
J Am Med Inform Assoc - Eventual situations for timeline extraction from clinical reports. ( 0,842917347640977 )
J Am Med Inform Assoc - An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. ( 0,838626626694057 )
AMIA Annu Symp Proc - Natural language processing to extract follow-up provider information from hospital discharge summaries. ( 0,827982682426544 )
Artif Intell Med - Biomedical events extraction using the hidden vector state model. ( 0,827206260205006 )
J Am Med Inform Assoc - A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources. ( 0,824877115693786 )
J Biomed Inform - Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives. ( 0,823562075447794 )
J Am Med Inform Assoc - Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification. ( 0,820908918874482 )
J Biomed Inform - Towards generating a patient's timeline: extracting temporal relationships from clinical notes. ( 0,820822961505865 )
AMIA Annu Symp Proc - Throw the bath water out, keep the baby: keeping medically-relevant terms for text mining. ( 0,819879142725499 )
AMIA Annu Symp Proc - Building gold standard corpora for medical natural language processing tasks. ( 0,813531950855211 )
J Am Med Inform Assoc - Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text. ( 0,811422303904658 )
AMIA Annu Symp Proc - Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records. ( 0,809793804983128 )
J Biomed Inform - The DDI corpus: an annotated corpus with pharmacological substances and drug-drug interactions. ( 0,804672295470533 )
J Am Med Inform Assoc - A hybrid system for temporal information extraction from clinical text. ( 0,803833277694454 )
J Biomed Inform - Enhancing clinical concept extraction with distributional semantics. ( 0,803640025310919 )
Comput Methods Programs Biomed - BioAnnote: a software platform for annotating biomedical documents with application in medical learning environments. ( 0,803199657968818 )
AMIA Annu Symp Proc - A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries. ( 0,803166631923547 )
J Am Med Inform Assoc - Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. ( 0,802627647339744 )
J Am Med Inform Assoc - MITRE system for clinical assertion status classification. ( 0,801416026246645 )
AMIA Annu Symp Proc - Inter-annotator reliability of medical events, coreferences and temporal relations in clinical narratives by annotators with varying levels of clinical expertise. ( 0,800512984179525 )
J Biomed Inform - A concept-driven biomedical knowledge extraction and visualization framework for conceptualization of text corpora. ( 0,799900441545735 )
J. Med. Internet Res. - Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing. ( 0,799228687472796 )
J Am Med Inform Assoc - A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text. ( 0,795248332929329 )
Int J Med Inform - Detection of infectious symptoms from VA emergency department and primary care clinical documentation. ( 0,794144260162306 )
J Am Med Inform Assoc - Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. ( 0,793346200186619 )
J Am Med Inform Assoc - Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. ( 0,792627024330376 )
AMIA Annu Symp Proc - TagLine: Information Extraction for Semi-Structured Text in Medical Progress Notes. ( 0,790935914486921 )
J Biomed Inform - Lexical patterns, features and knowledge resources for coreference resolution in clinical notes. ( 0,789130124727819 )
J Biomed Inform - MedTime: a temporal information extraction system for clinical narratives. ( 0,788552676387757 )
J Med Syst - Redactable signatures for signed CDA Documents. ( 0,786362936857854 )
J Biomed Inform - Anaphoric reference in clinical reports: characteristics of an annotated corpus. ( 0,785329872350865 )
Int J Med Inform - Detecting temporal expressions in medical narratives. ( 0,783676478485363 )
J Am Med Inform Assoc - Anaphoric relations in the clinical narrative: corpus creation. ( 0,782360094239269 )
J Biomed Inform - Semi-automatic semantic annotation of PubMed queries: a study on quality, efficiency, satisfaction. ( 0,781668322587739 )
J Biomed Inform - Automatically extracting information needs from complex clinical questions. ( 0,779665996813049 )
Int J Med Inform - A methodology to enhance spatial understanding of disease outbreak events reported in news articles. ( 0,779468548962636 )
Appl Clin Inform - Representation of information about family relatives as structured data in electronic health records. ( 0,77939963699107 )
AMIA Annu Symp Proc - Mapping annotations with textual evidence using an scLDA model. ( 0,779337844129235 )
AMIA Annu Symp Proc - Developing a section labeler for clinical documents. ( 0,776962343739992 )
BMC Med Inform Decis Mak - The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records. ( 0,776951471896451 )
J Am Med Inform Assoc - Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection. ( 0,774399890135067 )
AMIA Annu Symp Proc - Combining corpus-derived sense profiles with estimated frequency information to disambiguate clinical abbreviations. ( 0,774164212524709 )
J Biomed Inform - Using an ensemble system to improve concept extraction from clinical records. ( 0,773701974237267 )
J Biomed Inform - The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships. ( 0,768986808366304 )
AMIA Annu Symp Proc - Semantic processing to identify adverse drug event information from black box warnings. ( 0,768100818744939 )
J Am Med Inform Assoc - A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. ( 0,768044417961955 )
J Am Med Inform Assoc - MedXN: an open source medication extraction and normalization tool for clinical text. ( 0,764959663747408 )
J Am Med Inform Assoc - Extracting drug indication information from structured product labels using natural language processing. ( 0,764595478509361 )
J Am Med Inform Assoc - A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. ( 0,764526259787333 )
J Biomed Inform - Lessons learnt from the DDIExtraction-2013 Shared Task. ( 0,763592477890273 )
J Biomed Inform - Identifying non-elliptical entity mentions in a coordinated NP with ellipses. ( 0,763491601819277 )
AMIA Annu Symp Proc - Automatically pairing measured findings across narrative abdomen CT reports. ( 0,762081598972754 )
J Biomed Inform - Detecting hedge cues and their scope in biomedical text with conditional random fields. ( 0,760946722843185 )
AMIA Annu Symp Proc - Natural language processing for lines and devices in portable chest x-rays. ( 0,760643529242561 )
J Biomed Inform - A new clustering method for detecting rare senses of abbreviations in clinical notes. ( 0,760568648260386 )
J Am Med Inform Assoc - A rule based solution to co-reference resolution in clinical text. ( 0,759145864457128 )
J Biomed Inform - UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text. ( 0,756743060409136 )
J Am Med Inform Assoc - Automated concept-level information extraction to reduce the need for custom software and rules development. ( 0,754995662994667 )
J Biomed Inform - Extraction of events and temporal expressions from clinical narratives. ( 0,753456917784014 )
J Biomed Inform - Annotating temporal information in clinical narratives. ( 0,753375793408313 )
J Am Med Inform Assoc - Assisted annotation of medical free text using RapTAT. ( 0,753085915639726 )
Comput Math Methods Med - Ranking biomedical annotations with annotator's semantic relevancy. ( 0,752113428089388 )
Sci Data - Building the graph of medicine from millions of clinical narratives. ( 0,751719242180534 )
J Biomed Inform - Disambiguation of ambiguous biomedical terms using examples generated from the UMLS Metathesaurus. ( 0,751541625470482 )
AMIA Annu Symp Proc - Sophia: A Expedient UMLS Concept Extraction Annotator. ( 0,751237600668086 )
J Am Med Inform Assoc - Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries. ( 0,749981273795006 )
J Am Med Inform Assoc - Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. ( 0,747228259538649 )
J Am Med Inform Assoc - A comprehensive study of named entity recognition in Chinese clinical text. ( 0,74634725957769 )
J Biomed Inform - Degree centrality for semantic abstraction summarization of therapeutic studies. ( 0,745226982374775 )
J Biomed Inform - Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. ( 0,741360792563712 )
AMIA Annu Symp Proc - Critical finding capture in the impression section of radiology reports. ( 0,740624079468934 )
J Biomed Inform - Text summarization in the biomedical domain: a systematic review of recent research. ( 0,740344369782557 )
Int J Med Inform - Bootstrapping a de-identification system for narrative patient records: cost-performance tradeoffs. ( 0,740220816834602 )
J Am Med Inform Assoc - Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification. ( 0,738437675551608 )
AMIA Annu Symp Proc - Pharmacovigilance on twitter? Mining tweets for adverse drug reactions. ( 0,738066072106834 )
AMIA Annu Symp Proc - Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing. ( 0,737618196992187 )
J Biomed Inform - Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study. ( 0,73722949333219 )
J Biomed Inform - NCBI disease corpus: a resource for disease name recognition and concept normalization. ( 0,735885152444237 )
AMIA Annu Symp Proc - Word Sense Disambiguation of clinical abbreviations with hyperdimensional computing. ( 0,735659106859484 )
J Integr Bioinform - Automatic extraction of microorganisms and their habitats from free text using text mining workflows. ( 0,734217243142377 )
J Biomed Inform - Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text. ( 0,731909504831864 )
AMIA Annu Symp Proc - Towards a semantic lexicon for clinical natural language processing. ( 0,731462151471508 )
J Am Med Inform Assoc - Towards comprehensive syntactic and semantic annotations of the clinical narrative. ( 0,729964499004735 )
AMIA Annu Symp Proc - Automated illustration of patients instructions. ( 0,729561489508145 )
J Am Med Inform Assoc - Large-scale evaluation of automated clinical note de-identification and its impact on information extraction. ( 0,72948959436033 )
J Biomed Inform - Desiderata for ontologies to be used in semantic annotation of biomedical documents. ( 0,728924686419584 )
AMIA Annu Symp Proc - Generalizability and comparison of automatic clinical text de-identification methods and resources. ( 0,727212567729393 )
AMIA Annu Symp Proc - Qualitative analysis of workflow modifications used to generate the reference standard for the 2010 i2b2/VA challenge. ( 0,722151776408433 )
J Am Med Inform Assoc - Using rule-based natural language processing to improve disease normalization in biomedical text. ( 0,721511034544967 )
J Am Med Inform Assoc - Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. ( 0,721182461099246 )
J Am Med Inform Assoc - Vaccine adverse event text mining system for extracting features from vaccine safety reports. ( 0,720749970156447 )
BMC Med Inform Decis Mak - Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features. ( 0,719865593002829 )
J Biomed Inform - Text de-identification for privacy protection: a study of its impact on clinical text information content. ( 0,719566558518829 )
J. Med. Internet Res. - Evaluating a web-based clinical decision support system for language disorders screening in a nursery school. ( 0,719109406036415 )
J Biomed Inform - Approaches to verb subcategorization for biomedicine. ( 0,717136961423096 )
J Am Med Inform Assoc - Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences. ( 0,716432473853353 )
AMIA Annu Symp Proc - Automated non-alphanumeric symbol resolution in clinical texts. ( 0,715440037347388 )