Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pipeline to other chronic diseases

Objectives To validate and test the generalisability of the SASKit-ML pipeline, a prepublished feature selection and machine learning pipeline for the prediction of health deterioration after a stroke or pancreatic adenocarcinoma event, by using it to identify biomarkers of health deterioration in c...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniel Palmer, Larissa Henze, Uwe Walter, Hugo Murua Escobar, Axel Kowald, Georg Fuellen
Format: Article
Language:English
Published: BMJ Publishing Group 2024-09-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/9/e088181.full
Tags: Add Tag
No Tags, Be the first to tag this record!