ArticleJournal of diabetes science and technology2024
A Machine Learning Model for Prediction of Amputation in Diabetics.
Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.Clinical and experimental medicine · 2025Pooled it
- Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI.Frontiers in public health · 2025Pooled it
- Pooled it
- Machine learning-based prediction of major amputation risk after initial limb-preserving surgery in diabetic foot.Frontiers in endocrinology · 2026Article
- Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making.Scientific reports · 2025Article
- From Ulcer to Amputation: A Systematic Review of Prognostic Models for Diabetic Foot Ulcer Amputation.Risk management and healthcare policy · 2025Review
- An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study.Frontiers in endocrinology · 2025Article
- Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic.Medicina (Kaunas, Lithuania) · 2024Article
- Prediction models for amputation after diabetic foot: systematic review and critical appraisal.Diabetology & metabolic syndrome · 2024Review
- The role of machine learning in advancing diabetic foot: a review.Frontiers in endocrinology · 2024Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized patients with DFU.
methodsThe National Inpatient Sample (NIS) database from 2008 to 2014 was used to select patients with DFU, who were then further divided by major amputation status.
resultsA total of 326 853 inpatients with DFU were identified, and 5.9% underwent major amputation. The top five contributory variables (all with
conclusionUtilizing machine learning methods, we have developed a clinical algorithm that predicts the risk of major lower extremity amputation for inpatients with diabetes with 77.8% accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.