Advancing Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) Diagnosis: A Comparative Analysis of Machine Learning Methodologies

Advancing Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) Diagnosis: A Comparative Analysis of Machine Learning Methodologies

<b>Background/Objectives.</b> This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as fe...

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Bibliographic Details
Main Authors: Joseph J. Janicki, Bernadette M. M. Zwaans, Sarah N. Bartolone, Elijah P. Ward, Michael B. Chancellor
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
urine
biomarker
bladder
interstitial cystitis
inflammation
machine learning
Online Access:https://www.mdpi.com/2075-4418/14/23/2734
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https://www.mdpi.com/2075-4418/14/23/2734

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