DIABETES PREDICTION USING MULTILAYER PERCEPTRON
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Date
2022-05
Authors
Tumgoyev, Yussup
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
Diabetes mellitus is one of the most popular diseases that causes 1,5 million people
to die each year. It is the major cause of blindness, kidney failure, heart attacks,
stroke, and lower limb amputation. Being the world’s top 9 severe diseases, diabetes
puts a burden on the world’s economy and the healthcare system. There are two
types of diabetes. Type 1 is generic and in the vast majority of cases shows up early
in life. This study focuses on type 2 diabetes which is around 90% of all diabetes
cases, and that can be diagnosed. Early diagnosis of diabetes can prevent serious
medical complications. In this literature, we are introducing a framework of diabetes
prediction based on a Multilayer Perceptron of only 1 hidden layer and 8 neurons,
which is lighter than the state-of-art framework which consists of 3 hidden layers and
144 neurons in total. The grid-search method was used for hyperparameter tuning to
maximize Area Under the ROC Curve (AUC) that was chosen as a performance met-
ric. Pima Indian Diabetes Dataset was used to conduct the experiments. The dataset
was preprocessed with outlier rejection, missing values imputation, standardization,
data scaling, and feature selection algorithms. K-fold cross-validation technique was
used to train/test the classification model. The Multilayer Perceptron model was
tuned with various hyperparameters as well as the dynamic learning rate. Finally,
the best lightweight MLP model consisting of 1 hidden layer that reaches the AUC
of 0.90 was obtained. The model performs as well as the state-of-art but is at least
5 times faster in training and more than 80 times more efficient in terms of memory
usage.
Description
Keywords
Type of access: Open Access, Research Subject Categories::TECHNOLOGY, World Health Organization, WHO, Pima Indian Diabetes Dataset, diabete, Support Vector Machine, convolutional neural networks, CNN
Citation
Tumgoyev, Y. (2022). DIABETES PREDICTION USING MULTILAYER PERCEPTRON (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan