Pattern recognition method for diagnosis of systemic autoimmune diseases

    公开(公告)号:AU2005236067A1

    公开(公告)日:2005-11-03

    申请号:AU2005236067

    申请日:2005-04-20

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques, for example k-nearest neighbor analysis, to compare the array of quantitation data to sets of data previously obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or more diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES

    公开(公告)号:CA2562530A1

    公开(公告)日:2005-11-03

    申请号:CA2562530

    申请日:2005-04-20

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques, for example k-nearest neighbor analysis, to compare the array of quantitation data to sets of data previous ly obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or more diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES

    公开(公告)号:CA2424764A1

    公开(公告)日:2002-04-25

    申请号:CA2424764

    申请日:2001-09-19

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques to compare the array of quantitation data to sets of data previously obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or mor e diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES
    7.
    发明申请
    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES 审中-公开
    系统性自身免疫病诊断的模式识别方法

    公开(公告)号:WO2005103300A9

    公开(公告)日:2006-05-11

    申请号:PCT/US2005013637

    申请日:2005-04-20

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques, for example k-nearest neighbor analysis, to compare the array of quantitation data to sets of data previously obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or more diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    Abstract translation: 对患者样品中的一系列自身抗体进行定量分析,并对系统性自身免疫性疾病的诊断进行分析。 该分析使用各种已知的模式识别技术中的任一种,例如k-最近邻分析,将定量数据阵列与之前从具有已知系统性自身免疫疾病的受试者获得的数据组进行比较,从而确定特定疾病, 患者正在遭受以及确定的准确性的置信度或可能性。 该方法在鉴定单一疾病方面以及鉴定同时存在的两种或多种疾病方面是有效的。 该方法容易受到自动数据处理的影响,消除了以前诊断这些疾病所需的大部分人类判断和错误。

    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES
    8.
    发明申请
    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES 审中-公开
    用于诊断系统性自身免疫性疾病的模式识别方法

    公开(公告)号:WO2005103300A3

    公开(公告)日:2006-07-20

    申请号:PCT/US2005013637

    申请日:2005-04-20

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques, for example k-nearest neighbor analysis, to compare the array of quantitation data to sets of data previously obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or more diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    Abstract translation: 在患者样品中量化一系列自身抗体,并对全身自身免疫性疾病的诊断进行分析。 该分析使用各种已知的模式识别技术中的任何一种,例如k-最近邻分析,将定量数据阵列与先前从具有已知的系统性自身免疫疾病的受试者获得的数据集合进行比较,从而确定特定的疾病 病人正在受苦,以及信心的程度或确定准确性的可能性。 该方法在鉴定单一疾病以及同时鉴定两种或更多种同时存在的疾病方面是有效的。 该方法容易受到自动数据处理的影响,消除了以前在诊断这些疾病方面的大部分人的判断和错误。

    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES
    9.
    发明申请
    PATTERN RECOGNITION METHOD FOR DIAGNOSIS OF SYSTEMIC AUTOIMMUNE DISEASES 审中-公开
    用于诊断系统性自身免疫性疾病的模式识别方法

    公开(公告)号:WO0233415A3

    公开(公告)日:2003-03-27

    申请号:PCT/US0142213

    申请日:2001-09-19

    CPC classification number: G01N33/564

    Abstract: An array of autoantibodies is quantitated in a patient sample and analyzed toward a diagnosis of systemic autoimmune diseases. The analysis uses any of various known pattern recognition techniques to compare the array of quantitation data to sets of data previously obtained from subjects having known systemic autoimmune diseases, thereby determining the particular disease(s) that the patient is suffering from as well as the degree of confidence or likelihood of accuracy of the determination. The method is effective in identifying a single disease and also in identifying two or more diseases simultaneously present. The method is readily susceptible to automated data processing, eliminating much of the human judgment and error that were previously entailed in diagnosing these diseases.

    Abstract translation: 在患者样品中量化一系列自身抗体,并对全身自身免疫性疾病的诊断进行分析。 分析使用各种已知的模式识别技术中的任何一种将定量数据阵列与先前从具有已知的系统性自身免疫性疾病的受试者获得的数据集合进行比较,从而确定患者患有的特定疾病以及患者的程度 信心或准确性的确定的可能性。 该方法在鉴定单一疾病以及同时鉴定两种或更多种同时存在的疾病方面是有效的。 该方法容易受到自动数据处理的影响,消除了以前在诊断这些疾病方面的大部分人的判断和错误。

Patent Agency Ranking