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Insulin Recommender Systems for T1DM: A Review.

Joaquim Massana¹, Ferran Torrent-Fontbona², Beatriz López²

¹Polytechnical School, Universitat de Girona, Girona, Catalonia, Spain. joaquim.massana@udg.edu.

Advances in Experimental Medicine and Biology

|February 9, 2020

Summary

This summary is machine-generated.

This review of 70 papers highlights a need for standardized methods in insulin recommender systems (IRSs) for type 1 diabetes mellitus. Current research often lacks real-world testing and detailed feature information, hindering progress.

Keywords:

Bolus calculator Diabetes Insulin recommender system Review T1DM

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Area of Science:

Biomedical Engineering
Endocrinology
Artificial Intelligence in Medicine

Background:

Type 1 diabetes mellitus (T1DM) necessitates external insulin management due to non-functional pancreatic beta-cells.
Maintaining safe blood glucose (BG) levels is critical for individuals with T1DM.
Insulin recommender systems (IRSs) aim to automate and optimize insulin delivery.

Purpose of the Study:

To comprehensively review and summarize existing Insulin Recommender Systems (IRSs) for T1DM management.
To analyze 70 published works based on key aspects of IRS development and implementation.

Main Methods:

Systematic literature review of 70 research papers on IRSs.
Analysis focused on recommendation technology, control procedures, hardware, testing, pricing, and outcomes.
Comparative assessment of methodologies and reported results.

Main Results:

Significant lack of published research combining real-world experimentation with simulation processes.
Incomplete reporting of IRS features in a substantial number of publications.
Variability in experimental design and result presentation impedes direct comparison of studies.

Conclusions:

The field of IRSs for T1DM requires standardized protocols for experimentation and reporting.
Establishing common standards is essential for robust comparison analysis and scientific advancement.
Further research should prioritize transparent reporting and integrated testing methodologies.