Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.

Journal: Surgical endoscopy
PMID: 40064691

Abstract

BACKGROUND: Metabolic-bariatric surgery (MBS) is the last effective way to lose weight whom around half of the patients are women of reproductive age. It is recommended an interval of 12 months between surgery and pregnancy to optimize weight loss and nutritional status. Predicting pregnancy up to 12 months after MBS is important for evaluating reproductive health services in bariatric centers; therefore, this study aimed to present a prediction model for pregnancy at the first year following MBS using machine learning (ML) algorithms.

Authors

  • Raheleh Moradi
    Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran. raheleh.moradi1987@gmail.com.
  • Maryam Kashanian
    Department of Obstetrics & Gynecology, Akbarabadi Teaching Hospital, Iran University of Medical Sciences, Tehran, Iran.
  • Fahime Yarigholi
    Division of Minimally Invasive and Bariatric Surgery, Minimally Invasive Surgery Research Center, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran.
  • Abdolreza Pazouki
    Department of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran.
  • Abbas Sheikhtaheri
    Health Management and Economics Research Center, Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran. Electronic address: sheikhtaheri.a@iums.ac.ir.

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