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Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy

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Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy is a paper indexed in PICO Portal from OpenAlex.

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Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy has 1 citations in the OpenAlex counts PICO Portal stores.

When was Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy published?

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Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy has 2024 year in the PICO Portal index.

What is the open-access status of Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy?

PICO Portaloa status

Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy has hybrid oa status in the PICO Portal index.

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