1. Articles in category: Summarization

    73-96 of 1867 « 1 2 3 4 5 6 7 ... 76 77 78 »
    1. Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Patient Educ Couns. 2013 Aug;92(2):153-9

      Authors: Scott D, Hallett C, Fettiplace R

      Abstract OBJECTIVE: We assess the efficacy and utility of automatically generated textual summaries of patients' medical histories at the point of care. METHOD: Twenty-one clinicians were presented with information about two cancer patients and asked to answer key questions.

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    2. Multilingual sentence extractor

      The invention relates to a multilingual method for summarizing an article, which comprises an offline stage in which a weights vector is determined using, among others, plurality of predefined metrics, a collection of documents and expert prepared summaries, subjection of all the document sentences to all said metrics, guess of a population of weights matrices, subjection of the population to said metrics, ranking of sentences, generation of a new population using a genetic algorithm, and repetition of the same until convergence. The invention further comprises a real time stage in which the weights vector, as determined, as well as said ...

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    3. System and method for automatically generating systematic reviews of a scientific field

      A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature. The method is preferably implemented by a programmed computer and includes the steps of constructing a time series networks of words, passages, documents, and citations and/or co-citations within received information into a synthesized network, decomposing the networks into clusters of fields or topics, performing part-of-speech tagging of text within the received information to provide tagged text, constructing semantic ...

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    4. Automatic extraction and mapping of discharge summary's concepts into Snomed Ct.

      Automatic extraction and mapping of discharge summary's concepts into SNOMED CT.

      Conf Proc IEEE Eng Med Biol Soc. 2013 Jul;2013:4195-4198

      Authors: Batool R, Khattak AM, Kim TS, Lee S

      Abstract Patient data is critical in healthcare domain. Secure, consistent, and coded information increases the efficiency and encourages collaboration within and between organizations. Data entered by physician consists of free text containing medical terminologies.

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    5. Metaphor interpretation using paraphrases extracted from the web.

      Metaphor interpretation using paraphrases extracted from the web.

      PLoS One. 2013;8(9):e74304

      Authors: Bollegala D, Shutova E

      Abstract Interpreting metaphor is a hard but important problem in natural language processing that has numerous applications. One way to address this task is by finding a paraphrase that can replace the metaphorically used word in a given context.

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    6. Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries.

      Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries.

      J Am Med Inform Assoc. 2013 Aug 9;

      Authors: Xu Y, Wang Y, Liu T, Liu J, Fan Y, Qian Y, Tsujii J, Chang EI

      Abstract OBJECTIVE: In this paper, we focus on three aspects: (1) to annotate a set of standard corpus in Chinese discharge summaries; (2) to perform word segmentation and named entity recognition in the above corpus; (3) to build a joint model that performs word segmentation and named entity recognition. DESIGN: Two independent systems of word segmentation and named entity recognition were built ...

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      Mentions: Tsujii J Liu J Wang Y
    7. A rule-based method for continuity of care identification in discharge summaries.

      A rule-based method for continuity of care identification in discharge summaries.

      Stud Health Technol Inform. 2013;192:1221

      Authors: Silva E Oliveira LE, de Souza AC, Nohama P, Moro CM

      Abstract Discharge summaries are an important clinical narrative as they include the continuity of care information. Identification of data contained in their text is a difficult task due to its freeform text and lack of consensus on essential content.

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    8. Automatic coding of patient outcomes

      Systems and methods can mine structured clinical event data in an electronic health record (EHR) system to determine patient outcomes. Mining the structured clinical event data instead of or in addition to mining discharge summaries can increase the accuracy of patient outcome identification. Sophisticated language models can be used to extract outcomes from discharge summaries while also inferring outcomes from cues or hints contained in the structured clinical event data. For example, the clinical event data can include information regarding treatments and medications prescribed by clinicians to specifically manage patient complications; thus, presence or absence of relevant treatments in the ...

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    9. Locating paraphrases through utilization of a multipartite graph

      A method is described herein that includes acts of receiving a selection of a first phrase in a first language and executing a random walk over a computer-implemented multipartite graph, wherein the multipartite-graph includes a first set of nodes that are representative of phrases in the first language, a second set of nodes that are representative of phrases in a second language, and edges between nodes that are representative of relationships between the respective phrases. The random walk includes traversals over edges of the graph between nodes. The method also includes the act of indicating that a second phrase in ...
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    10. Video summarization using sparse basis function combination

      A method for determining a video summary from a video sequence including a time sequence of video frames, comprising: defining a global feature vector representing the entire video sequence; selecting a plurality of subsets of the video frames; extracting a frame feature vector for each video frame in the selected subsets of video frames; defining a set of basis functions, wherein each basis function is associated with the frame feature vectors for the video frames in a particular subset of video frames; using a data processor to automatically determine a sparse combination of the basis functions representing the global feature ...
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    11. Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse.

      Related Articles Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse. Artif Intell Med. 2012 Nov;56(3):157-72 Authors: Hunter J, Freer Y, Gatt A, Reiter E, Sripada S, Sykes C Abstract INTRODUCTION: Our objective was to determine whether and how a computer system could automatically generate helpful natural language nursing shift summaries solely from an electronic patient record system, in a neonatal intensive care unit (NICU). METHODS: A system was developed which automatically generates partial NICU shift summaries (for the respiratory and cardiovascular systems), using data-to-text technology. It was evaluated for 2 months in ...
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    12. Systems and methods for presenting a content summary of a media item to a user based on a position within the media item

      Systems and methods for presenting a content summary of a media item to a user based on a position within the media item are disclosed herein. According to an aspect, a method may include receiving identification of a position within a media item residing on an electronic device. For example, the identified position may be a bookmarked position within an e-book residing on an e-book reader. The method may also include generating a content summary for a portion of the media item based on the identified position. For example, an electronic device may dynamically generate a content summary based on ...
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    13. Character-based automated media summarization

      Methods, devices, systems and tools are presented that allow the summarization of text, audio, and audiovisual presentations, such as movies, into less lengthy forms. High-content media files are shortened in a manner that preserves important details, by splitting the files into segments, rating the segments, and reassembling preferred segments into a final abridged piece. Summarization of media can be customized by user selection of criteria, and opens new possibilities for delivering entertainment, news, and information in the form of dense, information-rich content that can be viewed by means of broadcast or cable distribution, "on-demand" distribution, internet and cell phone digital ...
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    14. EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification.

      EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification. AMIA Annu Symp Proc. 2012;2012:1191-200 Authors: Cui L, Bozorgi A, Lhatoo SD, Zhang GQ, Sahoo SS Abstract Sudden Unexpected Death in Epilepsy (SUDEP) is a poorly understood phenomenon. Patient cohorts to power statistical studies in SUDEP need to be drawn from multiple centers due to the low rate of reported SUDEP incidences. But the current practice of manual chart review of Epilepsy Monitoring Units (EMU) patient discharge summaries is time-consuming, tedious, and not scalable for large studies. To address this challenge in the multi-center ...
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    15. Summarizing streams of information

      Concepts and technologies are described herein for summarizing streams of information. A stream of information is obtained and analyzed. One or more entities are identified in the stream. The data in the stream is grouped into one or more clusters corresponding to the identified entities. The data in the clusters is summarized, and a timeline corresponding to the data in the cluster is determined. In some embodiments, a format can be selected for presentation of the summarized stream data. The data in the stream can be formatted in the selected format, and the summarized data can be presented in the ...
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    16. An Approach to Extraction of Linguistic Recommendation Rules – Application of Modal Conditionals Grounding

      An approach to linguistic summarization of distributed databases is considered. It is assumed that summarizations are produced for the case of incomplete access to existing data. To cope with the problem the stored data are processed partially (sampled). In consequence summarizations become equivalent to the natural language modal conditionals with modal operators of knowledge, belief and possibility. To capture this case of knowledge processing an original theory for grounding of modal languages is applied. Simple implementation scenarios and related computational techniques are suggested to illustrate a possible utilization of this model of linguistic summarization. Content Type Book ChapterPages 249-258DOI 10 ...
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    17. An Approach to Extraction of Linguistic Recommendation Rules – Application of Modal Conditionals Grounding

      An approach to linguistic summarization of distributed databases is considered. It is assumed that summarizations are produced for the case of incomplete access to existing data. To cope with the problem the stored data are processed partially (sampled). In consequence summarizations become equivalent to the natural language modal conditionals with modal operators of knowledge, belief and possibility. To capture this case of knowledge processing an original theory for grounding of modal languages is applied. Simple implementation scenarios and related computational techniques are suggested to illustrate a possible utilization of this model of linguistic summarization. Content Type Book ChapterPages 249-258DOI 10 ...
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    73-96 of 1867 « 1 2 3 4 5 6 7 ... 76 77 78 »
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