(P)), ]]> where logotype(P) = constant+a1X1+a2X2+…+anXn, wherein Pis a probability of referring the patient to the risk group, aiis regressioncoefficients, Xiare values included in the model.;EFFECT: improved diagnostic accuracy.;1 tbl, 2 ex"/> METHOD FOR USING IMMUNOLOGICAL MARKERS FOR PREDICTION OF PROLIFERATIONS OF CERVICAL INTRAEPITHELIAL NEOPLASIAS ASSOCIATED WITH PAPILLOMAVIRUS INFECTION
首页> 外国专利> METHOD FOR USING IMMUNOLOGICAL MARKERS FOR PREDICTION OF PROLIFERATIONS OF CERVICAL INTRAEPITHELIAL NEOPLASIAS ASSOCIATED WITH PAPILLOMAVIRUS INFECTION

METHOD FOR USING IMMUNOLOGICAL MARKERS FOR PREDICTION OF PROLIFERATIONS OF CERVICAL INTRAEPITHELIAL NEOPLASIAS ASSOCIATED WITH PAPILLOMAVIRUS INFECTION

机译:免疫学标记物预测宫颈上皮内淋巴瘤合并乳头瘤病毒感染的方法

摘要

FIELD: medicine.;SUBSTANCE: method for prediction of the proliferation of cervical intraepithelial neoplasias (CIN) associated with papillomavirus infection consisting in measuring a patient's blood and cervical immunological values, involves using a coefficient P, and if the coefficient P is more than 0.5, the patient is referred to a risk group of the proliferation of the disease; the coefficient P is 0.5 or less shows no risk of the proliferation of the disease. The coefficient P is calculated by means of a mathematical model: <mrow><mi>P</mi><mo>=</mo><mrow><mo>(</mo><mrow><mfrac><mn>1</mn><mrow><mn>1</mn><mo>+</mo><msup><mi>e</mi><mrow><mo>−</mo><mtext>logotype</mtext><mo stretchy="false">(</mo><mi>P</mi><mo stretchy="false">)</mo></mrow></msup></mrow></mfrac></mrow><mo>)</mo></mrow><mo>,</mo></mrow> where logotype(P) = constant+a1X1+a2X2+…+anXn, wherein Pis a probability of referring the patient to the risk group, aiis regressioncoefficients, Xiare values included in the model.;EFFECT: improved diagnostic accuracy.;1 tbl, 2 ex
机译:领域:医学;研究对象:预测与乳头瘤病毒感染相关的宫颈上皮内瘤变(CIN)增殖的方法,包括测量患者的血液和宫颈免疫学值,涉及​​使用系数P,如果系数P大于0.5 ,患者被称为疾病扩散的危险人群;系数P为0.5以下表示没有疾病扩散的危险。系数P通过数学模型计算: <![CDATA [ P = (< / mo> 1 1 + e 徽标类型 P ]]> <图像文件=“ 00000011.GIF” he =“ 13” imgContent =“ undefined” imgFormat =“ GIF” wi =“ 41” /> 其中徽标类型(P)=常量+ a 1 X 1 + a 2 X 2 +…+ a < Sub> n X n ,其中Pis是将患者转入风险组的概率,a i 是回归系数X i 是模型中包含的值。效果:提高诊断准确性。1 tbl,2 ex

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