Deborah Mudali
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View article: Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases Open
Alzheimer's disease (AD) and Parkinson's disease (PD) are two common, progressive neurodegenerative brain disorders. Their diagnosis is very challenging at an early disease stage, if based on clinical symptoms only. Brain imaging technique…
View article: Differentiating Early and Late Stage Parkinson’s Disease Patients from Healthy Controls
Differentiating Early and Late Stage Parkinson’s Disease Patients from Healthy Controls Open
Parkinson’s disease (PD) is a neurodegenerative disease which is difficult to diagnose at an early stage. Brain imaging techniques like [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) may aid to identify disease-related cha…
View article: Visualization of Decision Tree State for the Classification of Parkinson's Disease
Visualization of Decision Tree State for the Classification of Parkinson's Disease Open
Decision trees have been shown to be effective at classifying subjects with Parkinson's disease when provided with features (subject scores) derived from FDG-PET data. Such subject scores have strong discriminative power but are not intuit…
View article: Comparison of decision tree and stepwise regression methods in classification of FDG-PET brain data using SSM/PCA features
Comparison of decision tree and stepwise regression methods in classification of FDG-PET brain data using SSM/PCA features Open
Objective: To compare the stepwise regression (SR) method and the decision tree (DT) method for classification of parkinsonian syndromes. Method: We applied the scaled subprofile model/principal component analysis (SSM/PCA) method to FDG-P…
View article: Prediction of neurodegenerative diseases from functional brain imaging data
Prediction of neurodegenerative diseases from functional brain imaging data Open
Neurodegenerative diseases are a challenge, especially in the developed society where life expectancy is high. Since these diseases progress slowly, they are not easy to diagnose at an early stage. Moreover, they portray similar disease fe…
View article: Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features
Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features Open
Medical imaging techniques like fluorodeoxyglucose positron emission tomography (FDG-PET) have been used to aid in the differential diagnosis of neurodegenerative brain diseases. In this study, the objective is to classify FDG-PET brain sc…