A clinical decision support system for predicting drug-related adverse effects in pediatric patients with…

StudyThe Journal of international medical research· Jul 2026

A clinical decision support system for predicting drug-related adverse effects in pediatric patients with congenital heart disease: Development and retrospective evaluation.

Esmaeel Toni, Haleh Ayatollahi, Reza Abbaszadeh, Alireza Fotuhi Siahpirani

Clinical Decision SupportStudyQ3IF 1.8

Hybrid clinical decision support system predicted drug-adverse effects with 85% accuracy

A clinical decision support system for predicting drug-related adverse effects in pediatric patients with congenital heart disease: Development and retrospective evaluation.

Esmaeel Toni … Alireza Fotuhi Siahpirani

The Journal of international medical research · Jul 2026 · Q3 in General Medicine

Background

Children with congenital heart disease are highly vulnerable to drug-related adverse effects due to the use of complex polypharmacy.

Purpose

This study aimed to develop and retrospectively evaluate a hybrid clinical decision support system for predicting drug-related adverse effects in this population.

Methods

Phase 1 included a retrospective analysis of 4651 pediatric congenital heart disease reports from the Food and Drug Administration Adverse Event Reporting System to train and compare five machine-learning models.

Results

0.85

correctly flagged drug side effects most of the time

More results

The Random Forest model achieved a mean area under the receiver operating characteristic curve of 0.902.

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Conclusion

This study demonstrated the feasibility and clinical fidelity of using a hybrid clinical decision support system for predicting drug-related adverse effects in pediatric patients with congenital heart disease, supporting safer and more personalized pharmacotherapy.

A clinical decision support system for predicting drug-related adverse effects in pediatric patients with congenital heart disease: Development and retrospective evaluation.

A clinical decision support system for predicting drug-related adverse effects in pediatric patients with congenital heart disease: Development and retrospective evaluation.

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