Back to search

Article

A Machine Learning Algorithm for the Detection of Paroxysmal Nocturnal Haemoglobinuria (PNH) in UK Primary Care Electronic Health Records

2024-09-05

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Paroxysmal Nocturnal Haemoglobinuria (PNH) is an ultra-rare, acquired disorder that is challenging to diagnose due to varied symptoms, heterogeneous patient presentations, and lack of awareness among healthcare professionals. This leads to frequent misdiagnosis and delays in diagnosis. This study evaluated the feasibility of a machine learning model to identif...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
90fdb68c-13c5-584d-ab6e-7debffdf11d1
DOI
10.21203/rs.3.rs-4236637/v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Machine Learning Algorithm for the Detection of Paroxysmal Nocturnal Haemoglobinuria (PNH) in UK Primary Care Electronic Health RecordsDOI 10.21203/rs.3.rs-4236637/v2
Select a neighboring publication to make it the new centre.