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Machine learning in medication prescription: A systematic review
Alexa Iancu1, Ines Leb1, Hans-Ulrich Prokosch1
1Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Wetterkreuz 15, 91058 Erlangen, Germany.
International Journal of Medical Informatics
|November 8, 2023
Summary
Machine learning algorithms can improve medication dosing accuracy, especially for children. Decision tree and regression methods show superior predictive power for drug dosage prediction.
Area of Science:
- Pharmacology and Computational Science
- Artificial Intelligence in Medicine
Background:
- Medication prescription is complex, with pediatricians often prescribing off-label due to limited pediatric data.
- Off-label prescribing in children increases the risk of incorrect dosage and adverse drug events.
Conclusions:
- ML algorithms can simplify prescription and enhance dosing correctness.
- Identified ML approaches and variables are a starting point for pediatric drug dose prediction.
- Combining physiologically-based pharmacokinetic models with ML offers significant potential for improved accuracy.
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