Git Product home page Git Product logo

pe_bleeding's Introduction

ceecs-r-studio-final-2021

Bienvenidos!

Este es un trabajo grupal realizado en conjunto con mis compañeros V. Vernengo y G. Ralon a mediados de 2021 como trabajo final de la Carrera de Especialista en Estadistica para Ciencias de la Salud en la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aires (website)

Si bien el script utilizado en R es el original, se aleatorizaron los datos del dataset para garantizar y preservar la identidad de los pacientes y del equipo original de trabajo. Los resultados no tienen la misma perfomance que con el dataset original.

El objetivo del trabajo era trabajar con modelos de machine learning para identificar posibles predictores de sangrado para pacientes con tromboembolismo de pulmon en una base de datos con un N limitado.

El resto de los comentarios y explicación del trabajo se pueden visualizar en el archivo R MarkDown o en el HTML.

Email de contacto: [email protected]

Saludos,


Welcome!

This is a team work carried out together with my colleagues V. Vernengo and G. Ralon in mid-2021 as a final project for the Specialist in Statistics for Health Sciences career at the Faculty of Exact and Natural Sciences of the University of Buenos Aires (website).

Although the script used in R is the original, the data in the dataset was randomized to guarantee and preserve the identity of the patients and the original work team. The results do not have the same performance as with the original dataset.

The objective of the work was to clean the dataset and train machine learning models to identify possible bleeding predictors for patients with pulmonary thromboembolism in a database with a limited N.

The rest of the comments and explanation of the work can be displayed in the R MarkDown file or in the HTML.

Contact email: [email protected]

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.