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A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

https://doi.org/10.2196/50328
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Handbook of Artificial Intelligence in Healthcare
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Explainable AI, But Explainable to Whom? An Exploratory Case Study of xAI in Healthcare
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Making SHAP Rap: Bridging Local and Global Insights Through Interaction and Narratives
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Dedalo: Looking for Clusters Explanations in a Labyrinth of Linked Data
inferredcites →https://doi.org/10.1007/978-981-13-8798-2_12openalex-snapshot
Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques
inferredcites →https://doi.org/10.1007/s00521-021-06141-0openalex-snapshot
A novel explainable image classification framework: case study on skin cancer and plant disease prediction
inferredcites →https://doi.org/10.1007/s00521-022-07049-zopenalex-snapshot
Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms
inferredcites →https://doi.org/10.1007/s10844-013-0292-1openalex-snapshot
Semantic subgroup explanations
inferredcites →https://doi.org/10.1007/s40200-020-00520-5openalex-snapshot
Deep learning approach for diabetes prediction using PIMA Indian dataset
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106178openalex-snapshot
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
inferredcites →https://doi.org/10.1016/j.icte.2018.10.005openalex-snapshot
Diabetes detection using deep learning algorithms
inferredcites →https://doi.org/10.1016/j.imavis.2005.07.027openalex-snapshot
Ontology based complex object recognition
inferredcites →https://doi.org/10.1016/j.ins.2016.08.038openalex-snapshot
Ontology-based deep learning for human behavior prediction with explanations in health social networks
inferredcites →https://doi.org/10.1016/j.obmed.2019.100152openalex-snapshot
A novel hybrid approach for diagnosing diabetes mellitus using farthest first and support vector machine algorithms
inferredcites →https://doi.org/10.1016/j.procs.2018.05.122openalex-snapshot
Prediction of Diabetes using Classification Algorithms
inferredcites →https://doi.org/10.1016/j.procs.2020.08.043openalex-snapshot
A Resampling Method for Imbalanced Datasets Considering Noise and Overlap
inferredcites →https://doi.org/10.1016/s1574-0005(02)03016-3openalex-snapshot
Chapter 53 The shapley value
inferredcites →https://doi.org/10.1017/9781316716854.008openalex-snapshot
Interpretability
inferredcites →https://doi.org/10.1038/s41597-019-0055-0openalex-snapshot
BioWordVec, improving biomedical word embeddings with subword information and MeSH
inferredcites →https://doi.org/10.1038/s41598-022-05112-2openalex-snapshot
An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus
inferredcites →https://doi.org/10.1038/s41598-023-27551-1openalex-snapshot
Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction
inferredcites →https://doi.org/10.1049/htl2.12039openalex-snapshot
Diabetes prediction using machine learning and explainable AI techniques
inferredcites →https://doi.org/10.1101/2020.06.11.147272openalex-snapshot
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics
inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/access.2020.3040166openalex-snapshot
Explainable Prediction of Acute Myocardial Infarction Using Machine Learning and Shapley Values
inferredcites →https://doi.org/10.1109/access.2021.3110336openalex-snapshot
Explainable Artificial Intelligence Based Framework for Non-Communicable Diseases Prediction
inferredcites →https://doi.org/10.1109/chase.2017.80openalex-snapshot
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records
inferredcites →https://doi.org/10.1109/cibcb.2010.5510726openalex-snapshot
Applying neural networks to classify influenza virus antigenic types and hosts
inferredcites →https://doi.org/10.1109/iciss49785.2020.9316001openalex-snapshot
Machine Learning based Diabetes Prediction using Decision Tree J48
inferredcites →https://doi.org/10.1109/icscds53736.2022.9760847openalex-snapshot
A Prediction and Recommendation System for Diabetes Mellitus using XAI-based Lime Explainer
inferredcites →https://doi.org/10.1109/incet51464.2021.9456263openalex-snapshot
Comparative study of Ensemble learning Algorithms on Early Stage Diabetes Risk Prediction
inferredcites →https://doi.org/10.1109/ssci.2016.7849886openalex-snapshot
Using machine learning to predict hypertension from a clinical dataset
inferredcites →https://doi.org/10.1109/ubmyk48245.2019.8965556openalex-snapshot
A Decision Support System for Diabetes Prediction Using Machine Learning and Deep Learning Techniques
inferredcites →https://doi.org/10.1117/12.2558083openalex-snapshot
A framework for explainable deep neural models using external knowledge graphs
inferredcites →https://doi.org/10.1145/2629489openalex-snapshot
Wikidata
inferredcites →https://doi.org/10.1145/2757001.2757003openalex-snapshot
The protégé project
inferredcites →https://doi.org/10.1145/2783258.2783365openalex-snapshot
Deep Computational Phenotyping
inferredcites →https://doi.org/10.1145/2783258.2788613openalex-snapshot
Intelligible Models for HealthCare
inferredcites →https://doi.org/10.1145/3447548.3467274openalex-snapshot
S-LIME
inferredcites →https://doi.org/10.1155/2022/8167821openalex-snapshot
From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
inferredcites →https://doi.org/10.1186/s12902-019-0436-6openalex-snapshot
Predictive models for diabetes mellitus using machine learning techniques
inferredcites →https://doi.org/10.1186/s13638-020-01765-7openalex-snapshot
Diabetes prediction model based on an enhanced deep neural network
inferredcites →https://doi.org/10.1186/s40535-016-0021-2openalex-snapshot
DDO: a diabetes mellitus diagnosis ontology
inferredcites →https://doi.org/10.1201/9781315364094-82openalex-snapshot
Classification of Pima indian diabetes dataset using naive bayes with genetic algorithm as an attribute selection
inferredcites →https://doi.org/10.14257/astl.2017.145.09openalex-snapshot
A Deep Learning Approach to Identify Diabetes
inferredcites →https://doi.org/10.1609/aaai.v32i1.11491openalex-snapshot
Anchors: High-Precision Model-Agnostic Explanations
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.17605/osf.io/chu5qopenalex-snapshot
Machine Learning Ontology (MLOnto) Repository
inferredcites →https://doi.org/10.2196/35069openalex-snapshot
A Smart Mobile App to Simplify Medical Documents and Improve Health Literacy: System Design and Feasibility Validation
inferredcites →https://doi.org/10.24963/ijcai.2017/178openalex-snapshot
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
inferredcites →https://doi.org/10.32604/iasc.2023.032262openalex-snapshot
Explainable Heart Disease Prediction Using Ensemble-Quantum Machine Learning Approach
inferredcites →https://doi.org/10.32920/22734359.v1openalex-snapshot
DLIME: A Deterministic Local Interpretable Model - Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
inferredcites →https://doi.org/10.3390/s22197268openalex-snapshot
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
inferredcites →https://doi.org/10.5260/chara.21.2.8openalex-snapshot
arXiv
inferredcites →https://doi.org/10.5815/ijieeb.2019.02.03openalex-snapshot
Diabetes Prediction: A Deep Learning Approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110944openalex-snapshot
Evaluating explanation performance for clinical decision support systems for non-imaging data: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.engmed.2026.100133openalex-snapshot
Artificial intelligence for diabetes complications: Detection, prediction, and clinical management
inferred← citeshttps://doi.org/10.1016/j.eprac.2025.07.008openalex-snapshot
Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead
inferred← citeshttps://doi.org/10.1038/s41598-024-65044-xopenalex-snapshot
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
inferred← citeshttps://doi.org/10.1044/2025_persp-25-00003openalex-snapshot
Evaluating Model Interpretability in Speech-Based Clinical Artificial Intelligence Systems
inferred← citeshttps://doi.org/10.1080/08839514.2025.2502568openalex-snapshot
eXplainable Artificial Intelligence for Hip Fracture Recognition
inferred← citeshttps://doi.org/10.1093/jamia/ocaf110openalex-snapshot
Human-centered explainability evaluation in clinical decision-making: a critical review of the literature
inferred← citeshttps://doi.org/10.1109/icscss64956.2025.11501117openalex-snapshot
Intelligent AI-Driven Framework for Precision-based Healthcare Diagnosis and Decision Support
inferred← citeshttps://doi.org/10.18196/jrc.v4i6.20898openalex-snapshot
Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification
inferred← citeshttps://doi.org/10.2139/ssrn.5375341openalex-snapshot
Leveraging Explainability of Deep Reinforcement Learning in Healthcare: The Case of Type 1 Diabetes Management
inferred← citeshttps://doi.org/10.2139/ssrn.7201281openalex-snapshot
User-Centred Evaluation of XAI in Healthcare: A Critical Analysis of Properties, Measurements, and Relations
inferred← citeshttps://doi.org/10.3389/frai.2025.1455341openalex-snapshot
Artificial intelligence applied to diabetes complications: a bibliometric analysis
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Recent Applications of Explainable AI (XAI): A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/info16010007openalex-snapshot
Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights
inferred← citeshttps://doi.org/10.3390/s26041218openalex-snapshot
Wearable Technology and Machine Learning for Prediction of Performance-Based and Patient-Reported Outcome Measures: A Systematic Review
inferred← citeshttps://doi.org/10.58496/mjaih/2023/017openalex-snapshot
Diabetes at a Glance: Assessing AI Strategies for Early Diabetes Detection and Intervention
inferred← citeshttps://doi.org/10.58496/mjcsc/2025/018openalex-snapshot
Diabetes at a Glance: Assessing AI Strategies for Early Diabetes Detection and Intervention via a Mobile App
inferred← citeshttps://doi.org/10.64898/2026.04.16.26351069openalex-snapshot
A Bibliometric Review of Explainable AI in Diabetes Risk Prediction: Trends, Gaps, and Knowledge Graph Opportunities
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Artificial Intelligence in Personalized Medicine for Diabetes Mellitus: A Narrative Review
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