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1.发明授权公开(公告)号：US07889898B2
公开(公告)日：2011-02-15
申请号：US11532556
申请日：2006-09-18
IPC分类号： G06K9/00
CPC分类号： G06F17/30265 , G06F17/30014 , G06F19/00 , G06F19/321
摘要： A method for navigating digital medical images includes providing a digitized patient medical image of a structure of interest in a patient, using a pre-trained classifier to segment the structure of interest from the image, creating links from the structure of interest to a corresponding structure in an anatomical atlas, receiving a query to view the structure of interest, parsing the query to identify one or more keywords from noun phrases in the query, mapping a keyword to a corresponding structure in the anatomical atlas, wherein the anatomical atlas structure is associated with a link to the corresponding structure in the patient image, and following the link to display said patient structure of interest.
摘要翻译： 用于导航数字医学图像的方法包括使用预训练的分类器从图像中分割感兴趣的结构，从感兴趣的结构到相应的结构建立链接来提供患者的感兴趣的结构的数字化的患者医学图像 在解剖图谱中，接收查询以查看感兴趣的结构，解析查询以从查询中的名词短语识别一个或多个关键词，将关键字映射到解剖图谱中的对应结构，其中解剖图谱结构相关联 具有到患者图像中的对应结构的链接，并且跟随链接以显示感兴趣的所述患者结构。
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2.发明申请公开(公告)号：US20070127798A1
公开(公告)日：2007-06-07
申请号：US11532556
申请日：2006-09-18
IPC分类号： G06K9/00
CPC分类号： G06F17/30265 , G06F17/30014 , G06F19/00 , G06F19/321
摘要： A method for navigating digital medical images includes providing a digitized patient medical image of a structure of interest in a patient, using a pre-trained classifier to segment the structure of interest from the image, creating links from the structure of interest to a corresponding structure in an anatomical atlas, receiving a query to view the structure of interest, parsing the query to identify one or more keywords from noun phrases in the query, mapping a keyword to a corresponding structure in the anatomical atlas, wherein the anatomical atlas structure is associated with a link to the corresponding structure in the patient image, and following the link to display said patient structure of interest.
摘要翻译： 用于导航数字医学图像的方法包括使用预训练的分类器从图像中分割感兴趣的结构，从感兴趣的结构到相应的结构建立链接来提供患者的感兴趣的结构的数字化的患者医学图像 在解剖图谱中，接收查询以查看感兴趣的结构，解析查询以从查询中的名词短语识别一个或多个关键词，将关键字映射到解剖图谱中的对应结构，其中解剖图谱结构相关联 具有到患者图像中的对应结构的链接，并且跟随链接以显示感兴趣的所述患者结构。
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3.发明授权System and method for mild cognitive impairment class discovery using gene expression data 有权使用基因表达数据进行轻度认知障碍类发现的系统和方法公开(公告)号：US07945390B2
公开(公告)日：2011-05-17
申请号：US11249004
申请日：2005-10-12
申请人： Amit Chakraborty , Dorin Comaniciu , Lu-yong Wang
发明人： Amit Chakraborty , Dorin Comaniciu , Lu-yong Wang
IPC分类号： G01N33/50
CPC分类号： G06F19/24 , G06F19/18 , G06F19/20 , Y10S128/92
摘要： A system and method for mild cognitive impairment (MCI) class discovery using gene expression data are provided. The method comprises: acquiring gene expression data of a patient having MCI; and identifying a putative MCI subtype based on an expression signature in the gene expression data, wherein the putative MCI subtype is identified by using a boosting tree.
摘要翻译： 提供了使用基因表达数据的轻度认知障碍（MCI）类发现的系统和方法。 该方法包括：获取具有MCI的患者的基因表达数据; 以及基于所述基因表达数据中的表达特征识别推定的MCI亚型，其中通过使用增强树来鉴定推定的MCI亚型。
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4.发明授权System and method for molecular diagnosis of depression based on boosting classification 失效基于增强分类的抑郁症分子诊断系统和方法公开(公告)号：US07707134B2
公开(公告)日：2010-04-27
申请号：US11329528
申请日：2006-01-11
申请人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
发明人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
CPC分类号： G06F19/24
摘要： A method for diagnosing depression includes providing surface-enhanced laser desorption/ionization mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analyzing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
摘要翻译： 用于诊断抑郁症的方法包括提供多个蛋白质的表面增强激光解吸/电离质谱（SELDI-MS）数据，所述数据从患者获得并包括多个峰值，并且用交替的方法分析所述峰值 决策树，其包括所述数据峰值和相关联的预测值的一组测试，其中如果所述树的预测值之和大于1.0，则所述数据预示着抑制。
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5.发明申请Method and system for generating and validating clinical reports with built-in automated measurement and decision support 审中-公开用于生成和验证临床报告的方法和系统，内置自动测量和决策支持公开(公告)号：US20070112599A1
公开(公告)日：2007-05-17
申请号：US11585471
申请日：2006-10-24
申请人： Peiya Liu , Sridharan Palanivelu , Amit Chakraborty , Dorin Comaniciu , Christoph Dickmann , Sultan Haider , Saikat Mukherjee , Stefan Scholl , Jurgen Vaupel , Volker Wetekam
发明人： Peiya Liu , Sridharan Palanivelu , Amit Chakraborty , Dorin Comaniciu , Christoph Dickmann , Sultan Haider , Saikat Mukherjee , Stefan Scholl , Jurgen Vaupel , Volker Wetekam
摘要： A method and system for generation and validation of clinical reports with built-in automated measurement and decision support is provided. XML templates may be used for ensuring report data quality. The template data may include static, dynamic, calculated data, and others. The validation method may be based on formal logical constraint specifications. The constraint descriptions may include data types, cardinality, order, co-occurrence, Boolean logic, read-only data, regular expression patterns, etc. The method can be used to validate collected data on-the-fly based on constraint specifications without human interaction.
摘要翻译： 提供了一种内置自动测量和决策支持的生成和验证临床报告的方法和系统。 XML模板可用于确保报告数据质量。 模板数据可以包括静态，动态，计算的数据等。 验证方法可以基于形式逻辑约束规范。 约束描述可以包括数据类型，基数，顺序，同现，布尔逻辑，只读数据，正则表达式模式等。该方法可以用于基于约束规范即时验证收集的数据，而不需要人 相互作用。
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6.发明申请公开(公告)号：US20070130206A1
公开(公告)日：2007-06-07
申请号：US11462616
申请日：2006-08-04
申请人： Xiang Zhou , Dorin Comaniciu , Alok Gupta , Zhuowen Tu , Daniel Fasulo , Lu-yong Wang , Peiya Liu , Saikat Mukherjee , Amit Chakraborty
发明人： Xiang Zhou , Dorin Comaniciu , Alok Gupta , Zhuowen Tu , Daniel Fasulo , Lu-yong Wang , Peiya Liu , Saikat Mukherjee , Amit Chakraborty
IPC分类号： G06F17/00
摘要： A system and method for using heterogeneous data from multiple healthcare information sources in a medical decision support system is disclosed. Each healthcare information system stores medical data using a different local schema. The medical decision support system provides responses to user queries. A query is received from a user that is generated in a standardized global schema. The query includes information from medical ontologies. Database queries are generated from the user queries that use the medical ontologies to generate constraints in the queries. The medical ontologies are also used to infer database queries. The generated query is translated into multiple queries for the multiple healthcare systems wherein each query is in the local schema of the healthcare information system that is being queried. Each database query is transmitted to one of the healthcare information systems based on the local schema of the particular query. Data is collected from each of the queried healthcare information system and analyzed. A query response is formulated for the user
摘要翻译： 公开了一种在医疗决策支持系统中使用来自多个保健信息源的异构数据的系统和方法。 每个保健信息系统使用不同的本地模式存储医疗数据。 医疗决策支持系统提供对用户查询的响应。 从标准化全局模式中生成的用户接收到查询。 该查询包括医学本体的信息。 数据库查询是从使用医学本体的用户查询生成查询中的约束生成的。 医学本体也用于推断数据库查询。 所生成的查询被转换成多个医疗保健系统的多个查询，其中每个查询在被查询的医疗保健信息系统的本地模式中。 基于特定查询的本地模式，将每个数据库查询发送到医疗保健信息系统之一。 从每个被查询的医疗信息系统收集数据并进行分析。 为用户制定了查询响应
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7.发明申请System and method for molecular diagnosis of depression based on boosting classification 失效基于增强分类的抑郁症分子诊断系统和方法公开(公告)号：US20060184496A1
公开(公告)日：2006-08-17
申请号：US11329528
申请日：2006-01-11
申请人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
发明人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
IPC分类号： G06F15/18
CPC分类号： G06F19/24
摘要： A method for diagnosing depression includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
摘要翻译： 用于诊断抑郁症的方法包括提供多个蛋白质的表面增强激光解吸/电离质谱（SELDI-MS）数据，所述数据从患者获得并包括多个峰值，并且用交替的方式分析所述峰值 决策树，其包括所述数据峰值和相关联的预测值的一组测试，其中如果所述树的预测值之和大于1.0，则所述数据预示着抑制。
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8.发明授权System and method for automatic molecular diagnosis of ALS based on boosting classification 失效基于增强分类的ALS自动分子诊断系统和方法公开(公告)号：US07356521B2
公开(公告)日：2008-04-08
申请号：US11330535
申请日：2006-01-12
申请人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
发明人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
IPC分类号： G06N5/00
CPC分类号： G01N33/564 , G01N33/6851 , G01N2800/28 , G06K9/6257 , G06K9/6282 , H01J49/164
摘要： A method for diagnosing Amyotrophic lateral sclerosis includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
摘要翻译： 用于诊断肌萎缩性侧索硬化症的方法包括提供多个蛋白质的表面增强激光解吸/电离质谱（SELDI-MS）数据，所述数据从患者获得并包括多个峰值，并且分析所述峰值与 交替决策树，其包括所述数据峰值和相关联的预测值的一组测试，其中如果所述树的预测值之和大于1.0，则所述数据预示着抑制。
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9.发明申请System and method for mild cognitive impairment class discovery using gene expression data 有权使用基因表达数据进行轻度认知障碍类发现的系统和方法公开(公告)号：US20060094044A1
公开(公告)日：2006-05-04
申请号：US11249004
申请日：2005-10-12
申请人： Amit Chakraborty , Dorin Comaniciu , Lu-yong Wang
发明人： Amit Chakraborty , Dorin Comaniciu , Lu-yong Wang
CPC分类号： G06F19/24 , G06F19/18 , G06F19/20 , Y10S128/92
摘要： A system and method for mild cognitive impairment (MCI) class discovery using gene expression data are provided. The method comprises: acquiring gene expression data of a patient having MCI; and identifying a putative MCI subtype based on an expression signature in the gene expression data, wherein the putative MCI subtype is identified by using a boosting tree.
摘要翻译： 提供了使用基因表达数据的轻度认知障碍（MCI）类发现的系统和方法。 该方法包括：获取具有MCI的患者的基因表达数据; 以及基于所述基因表达数据中的表达特征识别推定的MCI亚型，其中通过使用增强树来鉴定推定的MCI亚型。
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10.发明申请System and method for automatic molecular diagnosis of ALS based on boosting classification 失效基于增强分类的ALS自动分子诊断系统和方法公开(公告)号：US20060218109A1
公开(公告)日：2006-09-28
申请号：US11330535
申请日：2006-01-12
申请人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
发明人： Lu-yong Wang , Amit Chakraborty , Dorin Comaniciu
IPC分类号： G06N3/08
CPC分类号： G01N33/564 , G01N33/6851 , G01N2800/28 , G06K9/6257 , G06K9/6282 , H01J49/164
摘要： A method for diagnosing Amyotrophic lateral sclerosis includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
摘要翻译： 用于诊断肌萎缩性侧索硬化症的方法包括提供多个蛋白质的表面增强激光解吸/电离质谱（SELDI-MS）数据，所述数据从患者获得并包括多个峰值，并且分析所述峰值与 交替决策树，其包括所述数据峰值和相关联的预测值的一组测试，其中如果所述树的预测值之和大于1.0，则所述数据预示着抑制。
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