Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning Article

Ali, Hassam, Inayat, Faisal, Moond, Vishali et al. (2024). Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning . WORLD JOURNAL OF GASTROINTESTINAL SURGERY, 16(4), 10.4240/wjgs.v16.i4.1097

Open Access International Collaboration

cited authors

  • Ali, Hassam; Inayat, Faisal; Moond, Vishali; Chaudhry, Ahtshamullah; Afzal, Arslan; Anjum, Zauraiz; Tahir, Hamza; Anwar, Muhammad Sajeel; Dahiya, Dushyant Singh; Afzal, Muhammad Sohaib; Nawaz, Gul; Sohail, Amir H; Aziz, Muhammad

sustainable development goals

authors

publication date

  • April 27, 2024

published in

keywords

  • BARIATRIC SURGERY PATIENTS
  • Bariatric surgery
  • COMPLICATIONS
  • DEEP VENOUS THROMBOSIS
  • EXTENDED THROMBOPROPHYLAXIS
  • Gastroenterology & Hepatology
  • Life Sciences & Biomedicine
  • MORBIDLY OBESE-PATIENTS
  • Machine learning
  • OUTCOMES
  • PROPHYLAXIS
  • PULMONARY-EMBOLISM
  • Predictive modeling
  • Roux-en-Y gastric bypass
  • SLEEVE GASTRECTOMY
  • Science & Technology
  • Surgery
  • Venous thromboembolism
  • WEIGHT

Digital Object Identifier (DOI)

publisher

  • BAISHIDENG PUBLISHING GROUP INC

volume

  • 16

issue

  • 4