David Becedas

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 2

Top Topics

Intensive Care Unit

Acute Kidney Injury

Machine Learning

Prognostic Factors

Top Venues

JMIR formative research

This page only lists publications with an associated author ORCID identifier.

Publications

Inger Persson, Adam Grünwald, Ludivine Morvan, David Becedas, Martin Arlbrandt
A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study. JMIR formative research 7 (2023)
Inger Persson, Andreas Östling, Martin Arlbrandt, Joakim Söderberg, David Becedas
A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study. JMIR formative research 5 (9) (2021)