-
1.发明授权Learning or inferring medical concepts from medical transcripts using probabilistic models with words or phrases identification 有权使用具有单词或短语识别的概率模型从医学成绩单学习或推断医学概念公开(公告)号：US07840511B2
公开(公告)日：2010-11-23
申请号：US11850193
申请日：2007-09-05
IPC分类号： G06N5/00
摘要： A medical concept is learned about or inferred from a medical transcript. A probabilistic model is trained from medical transcripts. For example, the problem is treated as a graphical model. Discrimitive or generative learning is used to train the probabilistic model. A mutual information criterion can be employed to identify a discrete set of words or phrases to be used in the probabilistic model. The model is based on the types of medical transcripts, focusing on this source of data to output the most probable state of a patient in the medical field or domain. The learned model may be used to infer a state of a medical concept for a patient.
摘要翻译： 从医学成绩单中了解或推断医学概念。 概率模型由医学成绩单进行培训。 例如，该问题被视为图形模型。 使用歧视或生成学习来训练概率模型。 可以使用互信息标准来识别要在概率模型中使用的一组离散的单词或短语。 该模型基于医疗成绩单的类型，重点是这一数据来源，以输出医疗领域或领域患者的最可能状态。 所学习的模型可以用于推断患者的医学概念的状态。
-
公开(公告)号：US20100131438A1
公开(公告)日：2010-05-27
申请号：US12620353
申请日：2009-11-17
摘要： Medical ontology information is used for mining and/or probabilistic modeling. A domain knowledge base may be automatically or semi-automatically created by a processor from a medical ontology. The domain knowledge base, such as a list of disease associated terms, is used to mine for corresponding information from a medical record. The relationship of different terms with respect to a disease may be used to train a probabilistic model. Probabilities of a disease or chance of indicating the disease are determined based on the terms from a medical ontology. This probabilistic reasoning is learned with a machine from ontology information and a training data set.
摘要翻译： 医学本体信息用于挖掘和/或概率建模。 领域知识库可以由处理器从医学本体自动或半自动创建。 领域知识库，例如疾病相关术语列表，用于从医疗记录中挖掘相应的信息。 可以使用不同术语与疾病的关系来训练概率模型。 根据医学本体的术语确定疾病的概率或指示疾病的机会。 这种概率推理是通过本体信息和训练数据集的机器学习的。
-
公开(公告)号：US08670997B2
公开(公告)日：2014-03-11
申请号：US11672639
申请日：2007-02-08
申请人： Sriram Krishnan , William A. Landi , Harald Steck , Romer E. Rosales , Radu Stefan Niculescu , Farbod Rahmanian , R. Bharat Rao
发明人： Sriram Krishnan , William A. Landi , Harald Steck , Romer E. Rosales , Radu Stefan Niculescu , Farbod Rahmanian , R. Bharat Rao
摘要： Medical related quality of care information is extracted and edited for reporting. Patient records are mined. The mining may include mining unstructured data to create structured information. Measures are derived automatically from the structured information. A user may then edit the measures, data points used to derive the measures, or other quality metric based on expert review. The editing may allow for a better quality report. Tools may be provided to configure reports, allowing generation of new or different reports.
摘要翻译： 提取和编辑医疗相关的护理信息质量以进行报告。 患者记录被开采。 挖掘可能包括挖掘非结构化数据以创建结构化信息。 措施是从结构化信息自动导出的。 然后，用户可以基于专家评审来编辑用于导出度量的度量，数据点或其他质量度量。 编辑可能允许更好的质量报告。 可以提供工具来配置报告，允许生成新的或不同的报告。
-
公开(公告)号：US07840512B2
公开(公告)日：2010-11-23
申请号：US12620353
申请日：2009-11-17
摘要： Medical ontology information is used for mining and/or probabilistic modeling. A domain knowledge base may be automatically or semi-automatically created by a processor from a medical ontology. The domain knowledge base, such as a list of disease associated terms, is used to mine for corresponding information from a medical record. The relationship of different terms with respect to a disease may be used to train a probabilistic model. Probabilities of a disease or chance of indicating the disease are determined based on the terms from a medical ontology. This probabilistic reasoning is learned with a machine from ontology information and a training data set.
摘要翻译： 医学本体信息用于挖掘和/或概率建模。 领域知识库可以由处理器从医学本体自动或半自动创建。 领域知识库，例如疾病相关术语列表，用于从医疗记录中挖掘相应的信息。 可以使用不同术语与疾病的关系来训练概率模型。 根据医学本体的术语确定疾病的概率或指示疾病的机会。 这种概率推理是通过本体信息和训练数据集的机器学习的。
-
公开(公告)号：US07630947B2
公开(公告)日：2009-12-08
申请号：US11505080
申请日：2006-08-16
摘要： Medical ontology information is used for mining and/or probabilistic modeling. A domain knowledge base may be automatically or semi-automatically created by a processor from a medical ontology. The domain knowledge base, such as a list of disease associated terms, is used to mine for corresponding information from a medical record. The relationship of different terms with respect to a disease may be used to train a probabilistic model. Probabilities of a disease or chance of indicating the disease are determined based on the terms from a medical ontology. This probabilistic reasoning is learned with a machine from ontology information and a training data set.
摘要翻译： 医学本体信息用于挖掘和/或概率建模。 领域知识库可以由处理器从医学本体自动或半自动创建。 领域知识库，例如疾病相关术语列表，用于从医疗记录中挖掘相应的信息。 可以使用不同术语与疾病的关系来训练概率模型。 根据医学本体的术语确定疾病的概率或指示疾病的机会。 这种概率推理是通过本体信息和训练数据集的机器学习的。
-
6.发明授权公开(公告)号：US08751495B2
公开(公告)日：2014-06-10
申请号：US12891983
申请日：2010-09-28
申请人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
发明人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
CPC分类号： G06F17/30616 , G06F19/00 , G16H50/70
摘要： A method, including receiving a data source selection from a user or software application, the data source including medical information of a plurality of patients, receiving, from the user or software application, a data pattern that is related to a concept to be explored in the data source, querying the data source to find information that approximately matches the data pattern; and receiving the information from the data source, wherein the information includes unstructured data, assigning a classification to individual parts of the information based on the part's relationship to the data pattern, and outputting the classified information to the user or software application.
摘要翻译： 一种方法，包括从用户或软件应用接收数据源选择，所述数据源包括多个患者的医学信息，从用户或软件应用程序接收与将要探索的概念相关的数据模式 数据源，查询数据源以查找与数据模式近似匹配的信息; 以及从所述数据源接收所述信息，其中，所述信息包括非结构化数据，基于所述部分与所述数据模式的关系，将所述信息的各个部分分配给所述信息，并将所述分类信息输出到所述用户或软件应用。
-
7.发明申请公开(公告)号：US20110078145A1
公开(公告)日：2011-03-31
申请号：US12891983
申请日：2010-09-28
申请人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
发明人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
CPC分类号： G06F17/30616 , G06F19/00 , G16H50/70
摘要： A method, including receiving a data source selection from a user or software application, the data source including medical information of a plurality of patients, receiving, from the user or software application, a data pattern that is related to a concept to be explored in the data source, querying the data source to find information that approximately matches the data pattern; and receiving the information from the data source, wherein the information includes unstructured data, assigning a classification to individual parts of the information based on the part's relationship to the data pattern, and outputting the classified information to the user or software application.
摘要翻译： 一种方法，包括从用户或软件应用接收数据源选择，所述数据源包括多个患者的医学信息，从用户或软件应用程序接收与将要探索的概念相关的数据模式 数据源，查询数据源以查找与数据模式近似匹配的信息; 以及从所述数据源接收所述信息，其中，所述信息包括非结构化数据，基于所述部分与所述数据模式的关系，将所述信息的各个部分分配给所述信息，并将所述分类信息输出到所述用户或软件应用。
-
公开(公告)号：US08652039B2
公开(公告)日：2014-02-18
申请号：US11365271
申请日：2006-03-01
CPC分类号： G06F19/34 , G06F19/00 , G06F19/3481 , G06Q50/22 , G06Q50/24 , G16H15/00 , G16H50/20 , G16H50/70
摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.
摘要翻译： 公开了一种基于信息最大化的诊断和处理决策的系统和方法。 利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。 信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。
-
9.发明授权Computer instructions for guiding differential diagnosis through information maximization 有权通过信息最大化指导鉴别诊断的计算机指令公开(公告)号：US07877272B2
公开(公告)日：2011-01-25
申请号：US12038169
申请日：2008-02-27
IPC分类号： G06Q10/00
CPC分类号： G06F19/34 , G06F19/00 , G06F19/3481 , G06Q50/22 , G06Q50/24 , G16H15/00 , G16H50/20 , G16H50/70
摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.
摘要翻译： 公开了一种基于信息最大化的诊断和处理决策的系统和方法。 利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。 信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。
-
10.发明申请公开(公告)号：US20080214928A1
公开(公告)日：2008-09-04
申请号：US12038202
申请日：2008-02-27
IPC分类号： A61B5/05
摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.
摘要翻译： 公开了一种基于信息最大化的诊断和处理决策的系统和方法。 利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。 信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。
-
-
-
-
-
-
-
-
-
搜索结果
84 条记录 (耗时 0.026 秒)
