Categories
Machine Learning

Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 3

Scientific Methodology and Architecture Design Introduction Alzheimer’s disease typically progresses gradually in stages namely normal, mild cognitive impairment (MCI) and dementia. The project represents an end-to-end functional approach to implement machine learning techniques and develop a web application. Alzheimer’s disease methodology (an adaptation of Knowledge Discovery in Databases (KDD) process) is applied to complete the […]

Categories
Data Analysis Resources Machine Learning

Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 2

Literature Review of Alzheimer’s Disease Progression Introduction This section discusses the papers published between 2004 and 2019 regarding Alzheimer’s disease progression. It starts by reviewing the application of machine learning on radiology images followed by different tests that are used to measure the clinical stage of the progression. This post is a continuation from this […]

Categories
Data Analysis Resources Machine Learning

Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 1

“Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data” is the topic of my final year project as part of my MSc in Data Analytics. I am publishing the technical report in full. Please let me know if you have any questions. The report and code are available from this GitHub repository. […]

Categories
Machine Learning

Machine learning applications in Government and Education

Described below are some of the examples of machine learning applications in education and government. Machine learning applications in Government and Education Education Machine learning provides new opportunities to tackle the challenge of large-scale grading automatically by analyzing data generated while students interact with teachers and other students.  Data mining and predictive analysis are applied […]