Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

Aman Sharma, Archit Kaushal, Kartik Dogra, Rajni Mohana
Copyright: © 2024 |Pages: 26
DOI: 10.4018/978-1-6684-9823-1.ch006
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Abstract

A significant complication of diabetes mellitus, diabetic foot ulcers (DFUs), can have devastating repercussions if they are not identified and treated right away. Machine learning algorithms have gained more attention recently for their potential to anticipate DFUs before they manifest, enabling early management and preventing consequences. In this chapter, the authors examine how convolutional neural networks (CNNs) can be used to forecast DFUs. The performance of DenseNet, EfficientNet, and a regular CNN are specifically compared. With labels identifying the presence or absence of a DFU, the authors use a dataset of medical photographs of diabetic feet to train each model. The objective is to assess the effectiveness of these models and look at how each layer affects the precision of the predictions. The authors also hope to provide some light on how the algorithms are able to pinpoint foot regions that are most likely to get DFUs. They also look into how each CNN model's different layers affect prediction accuracy.
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1. Introduction

Type 2 diabetes complications including diabetic foot ulcers (DFUs) can have serious repercussions like amputations and paralysis.(Xiong et al., 2020) DFUs are a result of a number of risk factors, such as poor glycemic management, neuropathy, and peripheral vascular disease. Growing interest has been shown in examining the potential contribution of a family history of diabetes to the emergence of DFUs in recent years. A 2020 study by X. Xiong et al. in Scientific Reports investigated the relationship between type 2 diabetes and diabetic foot problems in families with a history of diabetes. The results of this study indicate that those with a family history of diabetes are more likely to develop DFUs, emphasizing the need for better management and prediction methods for this population. This research offers important insights into the connection between a family history of diabetes and DFUs, which can help in the creation of efficient preventative and therapeutic strategies for this crippling issue.

1.1 Overview of Diabetic Foot Ulcers and its Impacts on Patients

A common complication of diabetes mellitus is diabetic foot ulcers (DFUs), which can occur in up to 15% of patients with diabetes. On a diabetic person's feet, typically on the toes or the bottom of the foot, DFUs are open sores or lesions. They may occur due to a variety of factors, including inadequate circulation, nerve damage, and high blood glucose levels.

DFUs may cause patients to endure substantial physical and mental side effects. They could become infected and heal more slowly, leading to more serious issues like gangrene and amputation. Patients with DFU frequently experience discomfort, which can limit their mobility and worsen their quality of life.

Patients with diabetes who have poor glucose management, high blood pressure, high cholesterol, or other disorders that impact the blood vessels or nerves in the foot are more likely to develop DFUs. Smoking, being overweight, and having a history of foot problems are other risk factors.

Diabetes patients should take precautions to care for their feet, such as inspecting them daily for cuts, sores, or other abnormalities, wearing suitable footwear, and seeking early medical help if they notice any issues. Preventing DFUs is a key component of managing diabetes. A multidisciplinary team of medical experts, comprising a podiatrist, wound care expert, and endocrinologist, among others, may treat patients with DFUs.

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