Base de dados : MEDLINE
Pesquisa : L01.224.900.950 [Categoria DeCS]
Referências encontradas : 551 [refinar]
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[PMID]:28451691
[Au] Autor:Zvára K; Tomecková M; Peleska J; Svátek V; Zvárová J
[Ti] Título:Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.
[So] Source:Methods Inf Med;56(3):217-229, 2017 May 18.
[Is] ISSN:2511-705X
[Cp] País de publicação:Germany
[La] Idioma:eng
[Ab] Resumo:OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their original context: first, by physicians unfamiliar with the original language (and possibly also the source specialty), and second, by tools requiring structured information, such as decision-support systems. Our additional goal is to gain insights into the process of narrative report creation, including the errors and ambiguities arising therein, and also into the process of report annotation by clinical terms. Finally, we also aim to provide a dataset of ground-truth transformations (specific for Czech as the source language), set up by expert physicians, which can be reused in the future for subsequent analytical studies and for training automated transformation procedures. METHODS: A three-phase preprocessing method has been developed to support secondary use of narrative clinical reports in electronic health record. Narrative clinical reports are narrative texts of healthcare documentation often stored in electronic health records. In the first phase a narrative clinical report is tokenized. In the second phase the tokenized clinical report is normalized. The normalized clinical report is easily readable for health professionals with the knowledge of the language used in the narrative clinical report. In the third phase the normalized clinical report is enriched with extracted structured information. The final result of the third phase is a semi-structured normalized clinical report where the extracted clinical terms are matched to codebook terms. Software tools for interactive correction, expansion and semantic annotation of narrative clinical reports has been developed and the three-phase preprocessing method validated in the cardiology area. RESULTS: The three-phase preprocessing method was validated on 49 anonymous Czech narrative clinical reports in the field of cardiology. Descriptive statistics from the database of accomplished transformations has been calculated. Two cardiologists participated in the annotation phase. The first cardiologist annotated 1500 clinical terms found in 49 narrative clinical reports to codebook terms using the classification systems ICD 10, SNOMED CT, LOINC and LEKY. The second cardiologist validated annotations of the first cardiologist. The correct clinical terms and the codebook terms have been stored in a database. CONCLUSIONS: We extracted structured information from Czech narrative clinical reports by the proposed three-phase preprocessing method and linked it to electronic health records. The software tool, although generic, is tailored for Czech as the specific language of electronic health record pool under study. This will provide a potential etalon for porting this approach to dozens of other less-spoken languages. Structured information can support medical decision making, quality assurance tasks and further medical research.
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde/normas
Aprendizado de Máquina
Processamento de Linguagem Natural
Semântica
Vocabulário Controlado
Processamento de Texto/normas
Redação/normas
[Mh] Termos MeSH secundário: Acurácia dos Dados
Guias como Assunto
Classificação Internacional de Doenças
Uso Significativo/normas
Software
Interface Usuário-Computador
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170429
[St] Status:MEDLINE
[do] DOI:10.3414/ME16-01-0083


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[PMID]:28892503
[Au] Autor:Jung J; Kim S; Cho H; Nam K
[Ad] Endereço:Neuroscience and Aphasia Research Unit, Division of Neuroscience & Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
[Ti] Título:Structural and functional correlates for language efficiency in auditory word processing.
[So] Source:PLoS One;12(9):e0184232, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:This study aims to provide convergent understanding of the neural basis of auditory word processing efficiency using a multimodal imaging. We investigated the structural and functional correlates of word processing efficiency in healthy individuals. We acquired two structural imaging (T1-weighted imaging and diffusion tensor imaging) and functional magnetic resonance imaging (fMRI) during auditory word processing (phonological and semantic tasks). Our results showed that better phonological performance was predicted by the greater thalamus activity. In contrary, better semantic performance was associated with the less activation in the left posterior middle temporal gyrus (pMTG), supporting the neural efficiency hypothesis that better task performance requires less brain activation. Furthermore, our network analysis revealed the semantic network including the left anterior temporal lobe (ATL), dorsolateral prefrontal cortex (DLPFC) and pMTG was correlated with the semantic efficiency. Especially, this network acted as a neural efficient manner during auditory word processing. Structurally, DLPFC and cingulum contributed to the word processing efficiency. Also, the parietal cortex showed a significate association with the word processing efficiency. Our results demonstrated that two features of word processing efficiency, phonology and semantics, can be supported in different brain regions and, importantly, the way serving it in each region was different according to the feature of word processing. Our findings suggest that word processing efficiency can be achieved by in collaboration of multiple brain regions involved in language and general cognitive function structurally and functionally.
[Mh] Termos MeSH primário: Eficiência
Linguagem
Lobo Temporal/fisiologia
Processamento de Texto
[Mh] Termos MeSH secundário: Adulto
Mapeamento Encefálico
Conectoma
Feminino
Seres Humanos
Imagem por Ressonância Magnética
Masculino
Lobo Parietal/fisiologia
Semântica
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171018
[Lr] Data última revisão:
171018
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170912
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0184232


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[PMID]:28609514
[Au] Autor:Abbasi J
[Ti] Título:Facebook Plans Brain-Typing Project With Medical Applications.
[So] Source:JAMA;317(22):2271, 2017 Jun 13.
[Is] ISSN:1538-3598
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Mídias Sociais
Interface Usuário-Computador
Processamento de Texto/métodos
[Mh] Termos MeSH secundário: Seres Humanos
Redação
[Pt] Tipo de publicação:NEWS
[Em] Mês de entrada:1707
[Cu] Atualização por classe:170706
[Lr] Data última revisão:
170706
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:170614
[St] Status:MEDLINE
[do] DOI:10.1001/jama.2017.7151


  4 / 551 MEDLINE  
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[PMID]:28237917
[Au] Autor:Arroyo-Gallego T; Ledesma-Carbayo MJ; Sanchez-Ferro A; Butterworth I; Mendoza CS; Matarazzo M; Montero P; Lopez-Blanco R; Puertas-Martin V; Trincado R; Giancardo L
[Ad] Endereço:Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
[Ti] Título:Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing.
[So] Source:IEEE Trans Biomed Eng;64(9):1994-2002, 2017 Sep.
[Is] ISSN:1558-2531
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Mobile technology is opening a wide range of opportunities for transforming the standard of care for chronic disorders. Using smartphones as tools for longitudinally tracking symptoms could enable personalization of drug regimens and improve patient monitoring. Parkinson's disease (PD) is an ideal candidate for these tools. At present, evaluation of PD signs requires trained experts to quantify motor impairment in the clinic, limiting the frequency and quality of the information available for understanding the status and progression of the disease. Mobile technology can help clinical decision making by completing the information of motor status between hospital visits. This paper presents an algorithm to detect PD by analyzing the typing activity on smartphones independently of the content of the typed text. We propose a set of touchscreen typing features based on a covariance, skewness, and kurtosis analysis of the timing information of the data to capture PD motor signs. We tested these features, both independently and in a multivariate framework, in a population of 21 PD and 23 control subjects, achieving a sensitivity/specificity of 0.81/0.81 for the best performing feature and 0.73/0.84 for the best multivariate method. The results of the alternating finger-tapping, an established motor test, measured in our cohort are 0.75/0.78. This paper contributes to the development of a home-based, high-compliance, and high-frequency PD motor test by analysis of routine typing on touchscreens.
[Mh] Termos MeSH primário: Diagnóstico por Computador/métodos
Técnicas de Diagnóstico Neurológico
Aplicativos Móveis
Transtornos dos Movimentos/diagnóstico
Doença de Parkinson/diagnóstico
Smartphone
Telemedicina/métodos
[Mh] Termos MeSH secundário: Diagnóstico por Computador/instrumentação
Feminino
Seres Humanos
Masculino
Meia-Idade
Transtornos dos Movimentos/etiologia
Transtornos dos Movimentos/fisiopatologia
Doença de Parkinson/complicações
Doença de Parkinson/fisiopatologia
Reprodutibilidade dos Testes
Sensibilidade e Especificidade
Telemedicina/instrumentação
Processamento de Texto/instrumentação
[Pt] Tipo de publicação:EVALUATION STUDIES; JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171024
[Lr] Data última revisão:
171024
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170227
[St] Status:MEDLINE
[do] DOI:10.1109/TBME.2017.2664802


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[PMID]:28113859
[Au] Autor:Kwang-Ryeol Lee; Won-Du Chang; Sungkean Kim; Chang-Hwan Im
[Ti] Título:Real-Time "Eye-Writing" Recognition Using Electrooculogram.
[So] Source:IEEE Trans Neural Syst Rehabil Eng;25(1):37-48, 2017 Jan.
[Is] ISSN:1558-0210
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Eye movements can be used as alternative inputs for human-computer interface (HCI) systems such as virtual or augmented reality systems as well as new communication ways for patients with locked-in syndrome. In this study, we developed a real-time electrooculogram (EOG)-based eye-writing recognition system, with which users can write predefined symbolic patterns with their volitional eye movements. For the "eye-writing" recognition, the proposed system first reconstructs the eye-written traces from EOG waveforms in real-time; then, the system recognizes the intended symbolic inputs with a reliable recognition rate by matching the input traces with the trained eye-written traces of diverse input patterns. Experiments with 20 participants showed an average recognition rate of 87.38% (F1 score) for 29 different symbolic patterns (26 lower case alphabet characters and three functional input patterns representing Space, Backspace, and Enter keys), demonstrating the promise of our EOG-based eye-writing recognition system in practical scenarios.
[Mh] Termos MeSH primário: Algoritmos
Auxiliares de Comunicação para Pessoas com Deficiência
Eletroculografia/métodos
Sistemas Homem-Máquina
Reconhecimento Automatizado de Padrão/métodos
Redação
[Mh] Termos MeSH secundário: Sistemas de Computação
Feminino
Seres Humanos
Masculino
Processamento de Texto
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE; VIDEO-AUDIO MEDIA
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171025
[Lr] Data última revisão:
171025
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170124
[St] Status:MEDLINE
[do] DOI:10.1109/TNSRE.2016.2542524


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[PMID]:28113345
[Au] Autor:Qiu Z; Allison BZ; Jin J; Zhang Y; Wang X; Li W; Cichocki A
[Ti] Título:Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement.
[So] Source:IEEE Trans Neural Syst Rehabil Eng;25(7):1009-1017, 2017 Jul.
[Is] ISSN:1558-0210
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: motor imagery (MI) is a mental representation of motor behavior. The MI-based brain computer interfaces (BCIs) can provide communication for the physically impaired. The performance of MI-based BCI mainly depends on the subject's ability to self-modulate electroencephalogram signals. Proper training can help naive subjects learn to modulate brain activity proficiently. However, training subjects typically involve abstract motor tasks and are time-consuming. METHODS: to improve the performance of naive subjects during motor imagery, a novel paradigm was presented that would guide naive subjects to modulate brain activity effectively. In this new paradigm, pictures of the left or right hand were used as cues for subjects to finish the motor imagery task. Fourteen healthy subjects (11 male, aged 22-25 years, and mean 23.6±1.16) participated in this study. The task was to imagine writing a Chinese character. Specifically, subjects could imagine hand movements corresponding to the sequence of writing strokes in the Chinese character. This paradigm was meant to find an effective and familiar action for most Chinese people, to provide them with a specific, extensively practiced task and help them modulate brain activity. RESULTS: results showed that the writing task paradigm yielded significantly better performance than the traditional arrow paradigm (p < 0.001). Questionnaire replies indicated that most subjects thought that the new paradigm was easier. CONCLUSION: the proposed new motor imagery paradigm could guide subjects to help them modulate brain activity effectively. Results showed that there were significant improvements using new paradigm, both in classification accuracy and usability.
[Mh] Termos MeSH primário: Biorretroalimentação Psicológica/métodos
Interfaces Cérebro-Computador
Potencial Evocado Motor/fisiologia
Imaginação/fisiologia
Movimento/fisiologia
Processamento de Texto/métodos
[Mh] Termos MeSH secundário: Adulto
Grupo com Ancestrais do Continente Asiático
Auxiliares de Comunicação para Pessoas com Deficiência
Feminino
Seres Humanos
Linguagem
Masculino
Análise e Desempenho de Tarefas
Redação
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171026
[Lr] Data última revisão:
171026
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170124
[St] Status:MEDLINE
[do] DOI:10.1109/TNSRE.2017.2655542


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[PMID]:27831885
[Au] Autor:Martinez-Cagigal V; Gomez-Pilar J; Alvarez D; Hornero R
[Ti] Título:An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People.
[So] Source:IEEE Trans Neural Syst Rehabil Eng;25(8):1332-1342, 2017 Aug.
[Is] ISSN:1558-0210
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:This paper presents an electroencephalographic (EEG) P300-based brain-computer interface (BCI) Internet browser. The system uses the "odd-ball" row-col paradigm for generating the P300 evoked potentials on the scalp of the user, which are immediately processed and translated into web browser commands. There were previous approaches for controlling a BCI web browser. However, to the best of our knowledge, none of them was focused on an assistive context, failing to test their applications with a suitable number of end users. In addition, all of them were synchronous applications, where it was necessary to introduce a "read-mode" command in order to avoid a continuous command selection. Thus, the aim of this study is twofold: 1) to test our web browser with a population of multiple sclerosis (MS) patients in order to assess the usefulness of our proposal to meet their daily communication needs; and 2) to overcome the aforementioned limitation by adding a threshold that discerns between control and non-control states, allowing the user to calmly read the web page without undesirable selections. The browser was tested with sixteen MS patients and five healthy volunteers. Both quantitative and qualitative metrics were obtained. MS participants reached an average accuracy of 84.14%, whereas 95.75% was achieved by control subjects. Results show that MS patients can successfully control the BCI web browser, improving their personal autonomy.
[Mh] Termos MeSH primário: Interfaces Cérebro-Computador
Pessoas com Deficiência/reabilitação
Eletroencefalografia/métodos
Esclerose Múltipla/reabilitação
Interface Usuário-Computador
Navegador
Processamento de Texto/métodos
[Mh] Termos MeSH secundário: Adulto
Potencial Evocado P300
Feminino
Seres Humanos
Imaginação
Masculino
Reprodutibilidade dos Testes
Sensibilidade e Especificidade
Índice de Gravidade de Doença
[Pt] Tipo de publicação:CONTROLLED CLINICAL TRIAL; JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171026
[Lr] Data última revisão:
171026
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161111
[St] Status:MEDLINE
[do] DOI:10.1109/TNSRE.2016.2623381


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[PMID]:27416602
[Au] Autor:Higger M; Quivira F; Akcakaya M; Moghadamfalahi M; Nezamfar H; Cetin M; Erdogmus D
[Ti] Título:Recursive Bayesian Coding for BCIs.
[So] Source:IEEE Trans Neural Syst Rehabil Eng;25(6):704-714, 2017 Jun.
[Is] ISSN:1558-0210
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Brain-Computer Interfaces (BCIs) seek to infer some task symbol, a task relevant instruction, from brain symbols, classifiable physiological states. For example, in a motor imagery robot control task a user would indicate their choice from a dictionary of task symbols (rotate arm left, grasp, etc.) by selecting from a smaller dictionary of brain symbols (imagined left or right hand movements). We examine how a BCI infers a task symbol using selections of brain symbols. We offer a recursive Bayesian decision framework which incorporates context prior distributions (e.g., language model priors in spelling applications), accounts for varying brain symbol accuracy and is robust to single brain symbol query errors. This framework is paired with Maximum Mutual Information (MMI) coding which maximizes a generalization of ITR. Both are applicable to any discrete task and brain phenomena (e.g., P300, SSVEP, MI). To demonstrate the efficacy of our approach we perform SSVEP "Shuffle" Speller experiments and compare our recursive coding scheme with traditional decision tree methods including Huffman coding. MMI coding leverages the asymmetry of the classifier's mistakes across a particular user's SSVEP responses; in doing so it offers a 33% increase in letter accuracy though it is 13% slower in our experiment.
[Mh] Termos MeSH primário: Interfaces Cérebro-Computador
Córtex Cerebral/fisiologia
Eletroencefalografia/métodos
Potenciais Evocados Visuais/fisiologia
Reconhecimento Automatizado de Padrão/métodos
Percepção Visual/fisiologia
Processamento de Texto/métodos
[Mh] Termos MeSH secundário: Adulto
Algoritmos
Teorema de Bayes
Mapeamento Encefálico/métodos
Feminino
Seres Humanos
Imaginação/fisiologia
Masculino
Movimento/fisiologia
Análise e Desempenho de Tarefas
[Pt] Tipo de publicação:EVALUATION STUDIES; JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171025
[Lr] Data última revisão:
171025
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160715
[St] Status:MEDLINE
[do] DOI:10.1109/TNSRE.2016.2590959


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[PMID]:27309780
[Au] Autor:Scruth EA; Soriano R
[Ad] Endereço:Author Affiliation: Clinical Practice Consultant-Clinical Effectiveness Team (Dr Scruth), Quality and Regulatory; and Regional Director (Dr Soriano), Medicare Operations and Clinical Effectiveness, Northern California Regional Office, Kaiser Permanente, Oakland.
[Ti] Título:Quality Documentation in the Electronic Medical Record: Ensuring Safe Practice of Copy and Paste.
[So] Source:Clin Nurse Spec;30(4):190-3, 2016 Jul-Aug.
[Is] ISSN:1538-9782
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde
Segurança do Paciente
Controle de Qualidade
[Mh] Termos MeSH secundário: Estados Unidos
Processamento de Texto
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1705
[Cu] Atualização por classe:170501
[Lr] Data última revisão:
170501
[Sb] Subgrupo de revista:N
[Da] Data de entrada para processamento:160617
[St] Status:MEDLINE
[do] DOI:10.1097/NUR.0000000000000214


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[PMID]:26655766
[Au] Autor:Sachs NA; Ruiz-Torres R; Perreault EJ; Miller LE
[Ad] Endereço:Department of Biomedical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA.
[Ti] Título:Brain-state classification and a dual-state decoder dramatically improve the control of cursor movement through a brain-machine interface.
[So] Source:J Neural Eng;13(1):016009, 2016 Feb.
[Is] ISSN:1741-2552
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: It is quite remarkable that brain machine interfaces (BMIs) can be used to control complex movements with fewer than 100 neurons. Success may be due in part to the limited range of dynamical conditions under which most BMIs are tested. Achieving high-quality control that spans these conditions with a single linear mapping will be more challenging. Even for simple reaching movements, existing BMIs must reduce the stochastic noise of neurons by averaging the control signals over time, instead of over the many neurons that normally control movement. This forces a compromise between a decoder with dynamics allowing rapid movement and one that allows postures to be maintained with little jitter. Our current work presents a method for addressing this compromise, which may also generalize to more highly varied dynamical situations, including movements with more greatly varying speed. APPROACH: We have developed a system that uses two independent Wiener filters as individual components in a single decoder, one optimized for movement, and the other for postural control. We computed an LDA classifier using the same neural inputs. The decoder combined the outputs of the two filters in proportion to the likelihood assigned by the classifier to each state. MAIN RESULTS: We have performed online experiments with two monkeys using this neural-classifier, dual-state decoder, comparing it to a standard, single-state decoder as well as to a dual-state decoder that switched states automatically based on the cursor's proximity to a target. The performance of both monkeys using the classifier decoder was markedly better than that of the single-state decoder and comparable to the proximity decoder. SIGNIFICANCE: We have demonstrated a novel strategy for dealing with the need to make rapid movements while also maintaining precise cursor control when approaching and stabilizing within targets. Further gains can undoubtedly be realized by optimizing the performance of the individual movement and posture decoders.
[Mh] Termos MeSH primário: Interfaces Cérebro-Computador
Encéfalo/fisiologia
Periféricos de Computador
Eletroencefalografia/métodos
Desempenho Psicomotor/fisiologia
Percepção Visual/fisiologia
[Mh] Termos MeSH secundário: Algoritmos
Animais
Auxiliares de Comunicação para Pessoas com Deficiência
Macaca mulatta
Masculino
Movimento (Física)
Reconhecimento Automatizado de Padrão/métodos
Reprodutibilidade dos Testes
Robótica
Sensibilidade e Especificidade
Processamento de Texto/métodos
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, N.I.H., EXTRAMURAL; RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.
[Em] Mês de entrada:1610
[Cu] Atualização por classe:171126
[Lr] Data última revisão:
171126
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:151215
[St] Status:MEDLINE
[do] DOI:10.1088/1741-2560/13/1/016009



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