-
公开(公告)号：US20160335544A1
公开(公告)日：2016-11-17
申请号：US14710380
申请日：2015-05-12
CPC分类号： G06N5/022 , G06F16/367 , G06F17/2785
摘要： A method for generating a knowledge data model is provided. The method includes providing at least one initial set of semantic type entities of a specific semantic type. The initial set of semantic type entities is expanded using available mappings between entities of the initial set and entities of unspecified type to generate an extended set of semantic type entities. Entities of a same semantic type are clustered within the extended set of semantic type entities. The method maps semantic relations between entities of different semantic type to relations between corresponding clusters containing the entities to generate the knowledge data model.
摘要翻译： 提供了一种用于生成知识数据模型的方法。 该方法包括提供特定语义类型的至少一个初始语义类型实体集合。 使用初始集合的实体和未指定类型的实体之间的可用映射来扩展初始语义类型实体集合，以生成扩展的语义类型实体集合。 相同语义类型的实体被聚集在扩展语义类型实体集合内。 该方法将不同语义类型的实体之间的语义关系映射到包含实体的对应集群之间的关系，以生成知识数据模型。
-
公开(公告)号：US20150095013A1
公开(公告)日：2015-04-02
申请号：US14038927
申请日：2013-09-27
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F16/367 , G06F17/289
摘要： Concept labels of an ontology are extended. An ontology includes concepts at least partially authored in a source language; a corpus at least partially authored in a target language is provided; said corpus is processed by a linguistical analysis and receiving a list of first terms as a result of said linguistical analysis, said first terms in said list ordered by a linguistical relevancy; within said list, at least one of said first terms is associated with an associated second term, said second term being a translation of said first term into said source language; a retrieval is conducted by using at least one of said second terms for identifying a matching concept within said ontology; and a concept label of said matching concept is extended by a first term associated to said second term of a matching retrieval.
摘要翻译： 扩展本体的概念标签。 本体论包含至少部分以源语言编写的概念; 提供至少部分以目标语言撰写的语料库; 所述语料库由语言学分析处理，并且作为所述语言学分析的结果而接收第一术语的列表，所述列表中的第一个术语由语言相关性排序; 在所述列表内，所述第一项中的至少一个与相关联的第二项相关联，所述第二项是所述第一项到所述源语言的翻译; 通过使用用于识别所述本体内的匹配概念的所述第二项中的至少一个来进行检索; 并且所述匹配概念的概念标签通过与匹配检索的所述第二项相关联的第一项来扩展。
-
公开(公告)号：US20150178386A1
公开(公告)日：2015-06-25
申请号：US14250326
申请日：2014-04-10
CPC分类号： G06F16/367 , G06F19/32 , G06F19/324
摘要： A system for extracting relations between measurements within an unstructured text and ontology concepts of at least one domain ontology stored in a domain ontology database is provided. The system includes an annotation unit adapted to process sentences of the unstructured text to derive tokens and measurements within the sentences. The derived tokens are annotated with ontology concepts mapped to the tokens. The system also includes a concept analyzing unit adapted to analyze, for each annotated sentence including at least one derived measurement, the annotated ontology concepts mapped to the derived tokens of the sentence to identify the ontology concepts related to the at least one derived measurement and to rank the identified related ontology concepts according to calculated relation strengths of the relations between the identified related ontology concepts and the respective measurement of the annotated sentence.
摘要翻译： 提供了一种用于提取非结构化文本中的测量之间的关系的系统以及存储在域本体数据库中的至少一个领域本体的本体概念。 该系统包括一个注释单元，适用于处理非结构化文本的句子以导出句子内的标记和测量。 派生令牌用映射到令牌的本体概念进行注释。 该系统还包括概念分析单元，适于针对包括至少一个派生测量的每个带注释的句子来分析映射到该句子的派生令牌的注释本体概念，以识别与至少一个派生测量相关的本体概念，以及 根据所识别的相关本体概念与注释句子的相应测量之间的关系的计算关系强度对所识别的相关本体概念进行排序。
-
公开(公告)号：US08965818B2
公开(公告)日：2015-02-24
申请号：US13473134
申请日：2012-05-16
申请人： Sonja Zillner , Heiner Oberkampf
发明人： Sonja Zillner , Heiner Oberkampf
摘要： Methods and systems may support conclusions of a clinician by enabling the clinician to arbitrarily define the symptoms according to the patient's record. The method may comprise: (a) determining a plurality of symptoms representing a patient and including characteristics of the patient, the symptoms being categorized as present symptoms, absent symptoms or open symptoms; (b) establishing a multi-tier relationship between said symptoms and a plurality of diseases based on a knowledge model; (c) adjusting weighting factor(s) for at least one multi-tier relationship based on said knowledge model; (d) optionally adjusting at least one weighting factor of step (c) by an expert; and (e) building a ranking of diseases from said multi-tier relationship based on said weighting factors. The method may provide an efficient ranking of disease information, thereby supporting a clinical diagnosis that may consider multiple symptoms while emphasizing particular symptoms in view of the clinician's expertise.
摘要翻译： 方法和系统可以通过使临床医生根据患者的记录任意地定义症状来支持临床医生的结论。 该方法可以包括：（a）确定代表患者的多种症状并包括患者的特征，症状被分类为现有症状，无症状或开放症状; （b）基于知识模型在所述症状与多种疾病之间建立多层关系; （c）基于所述知识模型调整至少一个多层关系的权重因子; （d）由专家任选地调整步骤（c）的至少一个加权因子; 以及（e）基于所述加权因子从所述多层关系建立疾病排名。 该方法可以提供疾病信息的有效排序，从而支持可以考虑多种症状的临床诊断，同时考虑到临床医生的专业知识强调特定症状。
-
公开(公告)号：US20130310653A1
公开(公告)日：2013-11-21
申请号：US13473134
申请日：2012-05-16
申请人： Sonja Zillner , Heiner Oberkampf
发明人： Sonja Zillner , Heiner Oberkampf
IPC分类号： A61B5/00
摘要： Methods and systems may support conclusions of a clinician by enabling the clinician to arbitrarily define the symptoms according to the patient's record. The method may comprise: (a) determining a plurality of symptoms representing a patient and including characteristics of the patient, the symptoms being categorized as present symptoms, absent symptoms or open symptoms; (b) establishing a multi-tier relationship between said symptoms and a plurality of diseases based on a knowledge model; (c) adjusting weighting factor(s) for at least one multi-tier relationship based on said knowledge model; (d) optionally adjusting at least one weighting factor of step (c) by an expert; and (e) building a ranking of diseases from said multi-tier relationship based on said weighting factors. The method may provide an efficient ranking of disease information, thereby supporting a clinical diagnosis that may consider multiple symptoms while emphasizing particular symptoms in view of the clinician's expertise.
摘要翻译： 方法和系统可以通过使临床医生根据患者的记录任意地定义症状来支持临床医生的结论。 该方法可以包括：（a）确定代表患者的多种症状并包括患者的特征，症状被分类为现有症状，无症状或开放症状; （b）基于知识模型在所述症状与多种疾病之间建立多层关系; （c）基于所述知识模型调整至少一个多层关系的权重因子; （d）由专家任选地调整步骤（c）的至少一个加权因子; 以及（e）基于所述加权因子从所述多层关系建立疾病排名。 该方法可以提供疾病信息的有效排序，从而支持可以考虑多种症状的临床诊断，同时考虑到临床医生的专业知识强调特定症状。
-
公开(公告)号：US09002769B2
公开(公告)日：2015-04-07
申请号：US13540952
申请日：2012-07-03
申请人： Heiner Oberkampf , Sonja Zillner
发明人： Heiner Oberkampf , Sonja Zillner
CPC分类号： G06F19/345 , G06F19/00 , G16H50/20
摘要： A method and system for supporting a clinical diagnosis is provided, the method including the steps of representing a patient by a plurality of initial symptoms, the symptoms including characteristics of the patient; determining, by querying and reasoning in a disease-symptom knowledge model, at least one likely disease for each of the plurality of initial symptoms; mapping the plurality of initial symptoms onto a set of said likely diseases; determining for each disease of said set of likely diseases a plurality of associated symptoms, the associated symptoms being associated to a respective disease of said set of likely diseases in said disease-symptom knowledge model; categorizing each of the plurality of associated symptoms into disjoint categories by mapping associated symptoms with initial symptoms; and representing likely diseases in the context of said categories of associated symptoms.
摘要翻译： 提供了一种用于支持临床诊断的方法和系统，所述方法包括以多个初始症状表示患者的步骤，所述症状包括患者的特征; 通过在疾病症状知识模型中的查询和推理来确定多种初始症状中的每一种的至少一种可能的疾病; 将多个初始症状映射到一组所述可能的疾病; 确定所述一组可能疾病中的每种疾病多种相关症状，所述相关症状与所述疾病症状知识模型中所述一组可能疾病的相应疾病相关联; 通过将相关症状与初始症状相关联，将多个相关症状中的每一个分类为不相关的类别; 并在所述类别的相关症状的背景下代表可能的疾病。
-
公开(公告)号：US20150081648A1
公开(公告)日：2015-03-19
申请号：US14029270
申请日：2013-09-17
IPC分类号： G06F17/30
CPC分类号： G06F16/2365 , G06N20/00
摘要： A method of composing an integrated ontology is provided. The method makes use of feature models for the process of modular development of ontologies. The feature models are adapted to assist the user in the process of selection of appropriate and combinable ontologies from an ontology repository for a given use case scenario. The usage of a feature model provides a view of all possible combinations, i.e. all combinations that do not result in an inconsistent ontology. The feature model is specifying dependencies between different ontologies thereby expediting the selection of appropriate ontologies. The usage of reasoning techniques provides for an in-situ consideration of restrictions for the selection of ontologies.
摘要翻译： 提供了一种组合本体的方法。 该方法利用了本体模块化开发过程的特征模型。 特征模型适用于帮助用户在给定用例场景中从本体存储库中选择适当且可组合的本体的过程。 特征模型的使用提供了所有可能组合的视图，即不导致本体不一致的所有组合。 特征模型是指定不同本体之间的依赖关系，从而加速选择适当的本体。 推理技术的使用提供了对本体选择的限制的原位考虑。
-
公开(公告)号：US20140012790A1
公开(公告)日：2014-01-09
申请号：US13540952
申请日：2012-07-03
申请人： Heiner Oberkampf , Sonja Zillner
发明人： Heiner Oberkampf , Sonja Zillner
IPC分类号： G06N5/02
CPC分类号： G06F19/345 , G06F19/00 , G16H50/20
摘要： A method and system for supporting a clinical diagnosis is provided, the method including the steps of representing a patient by a plurality of initial symptoms, the symptoms including characteristics of the patient; determining, by querying and reasoning in a disease-symptom knowledge model, at least one likely disease for each of the plurality of initial symptoms; mapping the plurality of initial symptoms onto a set of said likely diseases; determining for each disease of said set of likely diseases a plurality of associated symptoms, the associated symptoms being associated to a respective disease of said set of likely diseases in said disease-symptom knowledge model; categorizing each of the plurality of associated symptoms into disjoint categories by mapping associated symptoms with initial symptoms; and representing likely diseases in the context of said categories of associated symptoms.
摘要翻译： 提供了一种用于支持临床诊断的方法和系统，所述方法包括以多个初始症状表示患者的步骤，所述症状包括患者的特征; 通过在疾病症状知识模型中的查询和推理来确定多种初始症状中的每一种的至少一种可能的疾病; 将多个初始症状映射到一组所述可能的疾病; 确定所述一组可能疾病中的每种疾病多种相关症状，所述相关症状与所述疾病症状知识模型中所述一组可能疾病的相应疾病相关联; 通过将相关症状与初始症状相关联，将多个相关症状中的每一个分类为不相关的类别; 并在所述类别的相关症状的背景下代表可能的疾病。
-
公开(公告)号：US08935155B2
公开(公告)日：2015-01-13
申请号：US13619337
申请日：2012-09-14
IPC分类号： G06F17/27
CPC分类号： G06F17/2715 , G06F17/271 , G06F19/00 , G16H15/00
摘要： A method for processing medical reports includes applying natural language processing methods to perform an initial segmentation of at least parts of textual contents of each medical report into information units, thereby identifying information units, such as text fragments, sentences or text passages, within the medical reports. The information units are classified into at least one context class to determine their appropriate context classes for a particular situation or application. The context classifications are created using a grammar, e.g., a context-free grammar, and can then be used for automatically assigning each information unit to an appropriate context meta-information. The medical report may be annotated by assigning the information units to context meta-information determined by the context class, and the context meta-information may be used by other applications, e.g., dedicated mechanisms for clinical data integration, how to efficiently handle the available information units within medical reports.
摘要翻译： 一种用于处理医疗报告的方法包括：应用自然语言处理方法，将每个医疗报告的文本内容的至少一部分初始分割成信息单元，从而识别医学内的信息单元，例如文本片段，句子或文本段落 报告。 信息单元被分类为至少一个上下文类以确定其针对特定情况或应用的合适的上下文类。 使用语法（例如，无上下文的语法）创建上下文分类，然后可以用于将每个信息单元自动分配给适当的上下文元信息。 可以通过将信息单元分配给由上下文类确定的上下文元信息来注释医疗报告，并且上下文元信息可以被其他应用使用，例如用于临床数据集成的专用机制，如何有效地处理可用的 医疗报告中的信息单位。
-
公开(公告)号：US20140081623A1
公开(公告)日：2014-03-20
申请号：US13619337
申请日：2012-09-14
IPC分类号： G06F17/27
CPC分类号： G06F17/2715 , G06F17/271 , G06F19/00 , G16H15/00
摘要： A method for processing medical reports is disclosed. An initial segmentation textual contents of a medical report into information units is performed using natural language processing methods, thereby addressing the challenge of identifying information units, such as text fragments, sentences or text passages, covered within medical reports that are of relevance for a particular context. The information units are then classified into at least one context class to determine their appropriate context classes for a particular situation or application. The context classifications are created using a grammar, e.g., a context-free grammar, and can then be used for automatically assigning each information unit to an appropriate context meta-information. The medical report is then annotated by assigning at least one of said information units to at least one context meta-information determined by said context class. The context meta-information may be then used by other applications.
摘要翻译： 公开了一种处理医疗报告的方法。 使用自然语言处理方法将医疗报告的初始分段文本内容执行到信息单元中，从而解决识别信息单元（例如文本片段，句子或文本段落）的挑战，所述信息单元覆盖在医疗报告内，与特定的 上下文 然后，信息单元被分类为至少一个上下文类以确定其针对特定情况或应用的合适的上下文类。 使用语法（例如，无上下文的语法）创建上下文分类，然后可以用于将每个信息单元自动分配给适当的上下文元信息。 然后通过将至少一个所述信息单元分配给由所述上下文类确定的至少一个上下文元信息来注释医疗报告。 然后，上下文元信息可以由其他应用使用。
-
-
-
-
-
-
-
-
-
搜索结果
28 条记录 (耗时 0.019 秒)
