Deep Learning for Forecast Scales to Prescribe Patients at Risk of Gastrointestinal Bleeding
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Keywords
Web design, Machine learning, training, decision trees, weka
Abstract
The evolution of medicine in current times has gone hand in hand with technology where more and more solutions are implemented; those supporting certain medical procedures to serve as base in the field of medical professionals. The process of analyzing data has become an essential resource in the practice of any profession; currently, in hospitals, more specifically in the university hospital La Samaritana. No tool allows the supporting of diagnosis to determine the supply or no, proton pump inhibitors, therefore we have developed an app using a machine learning model, based on decision trees through the weka application, which, after analyzing the data collected, allows the doctor to count with a tool to support this procedure. We hope that with this, doctors can perform an effective analysis before prescribing or not prescribing PPIs.
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References
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Article Details
Carlos Calderón-Vargas, La Samaritana Hospital University
Doctor from the Universidad de la Sabana and specialist in Internal Medicine from the Pontificia Universidad Javeriana. Professor of the Internal Medicine program at the University of La Sabana. Internist of the Internal Medicine service of the Hospital Universitario de la Samaritana. ACMI - ACP member.
José Muñoz Castaño, La Samaritana Hospital University
Doctor and surgeon from the Fundación Universitaria de Ciencias de la Salud, specializing in health management.
María Vargas Rincón, La Samaritana Hospital University
Student XII semester of medicine at the Universidad de la Sabana, I belong to the interest group "Plastic and Reconstructive surgery Universidad de la Sabana" - PRECSUS.
Víctor Manuel Rincón Acosta, Universidad El Bosque
Systems Engineer Student, Diploma in Administrative Skills for the 21st Century, currently works as a leader in the area of technology, computing and robotics at Gimnasio Campestre Reino Británico
Miguel Mendieta Hernández, Universidad El Bosque
Systems engineering student at El Bosque University. He currently works as a Freelance Freelance Web Developer.
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