A Novel Proposal for Deep Learning-Based Diabetes Prediction: Converting Clinical Data to Image Data

• Published in: Diagnostics (Basel) Vol. 13; no. 4; p. 796
• Main Authors: Aslan, Muhammet Fatih, Sabanci, Kadir
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.02.2023; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Big Data; Classification; convolutional neural network; Data mining; Datasets; Deep learning; Diabetes; diabetes prediction; Disease; Electronic data processing; Feature selection; Health aspects; Insulin resistance; Machine learning; Medical diagnosis; Medical records; Neural networks; numeric-to-image; Pancreas; PIMA dataset; Support vector machines; Technology application; Womens health; Turkey; PIMA dataset; diabetes prediction; support vector machines; numeric-to-image; convolutional neural network

Diabetes, one of the most common diseases worldwide, has become an increasingly global threat to humans in recent years. However, early detection of diabetes greatly inhibits the progression of the disease. This study proposes a new method based on deep learning for the early detection of diabetes....