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Significant results of logistic regression analysis for the diagnosis of paediatric abdominal pain.

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posted on 2025-11-05, 18:39 authored by Kazuya Takahashi, Michalina Lubiatowska, Huma Shehwana, James K. Ruffle, John A. Williams, Animesh Acharjee, Shuji Terai, Georgios V. Gkoutos, Humayoon Satti, Qasim Aziz
<p>Significant results of logistic regression analysis for the diagnosis of paediatric abdominal pain.</p>

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    DOI - Is supplement to An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction

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    three distinct phenotypesremain unclear duepreliminary study aimedlarge birth cohortkey predictive factorsidentifying targeted interventionsguide future investigationsgeneral practitioner recordsexplore associated factorsdevelop predictive modelsbased predictive modelchild &# 8217developed using demographicsobserved ap ratesidentify ap phenotypes67 ), showingprediction </ p3 allergic diseasesmaternal comorbidities increased50 &# 821140 &# 8211predicting paediatric appaediatric allergic diseases3 maternal comorbiditiesxlink "> 1allergic diseasesxlink ">maternal demographicsmaternal comorbidities&# 8805phenotype 3paediatric apallergic predisposition676 ),659 ),predicted probabilityphenotype 1patient heterogeneitymachine learningaverage age340 ).2 %)1 years

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