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

  References for the project C. Aditya and M. S. Pande. Devising an interpretable calibrated scale to quantitatively assess the dementia stage of subjects with alzheimer’s disease: A machine learning…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 10

Discussion The project has fully answered research questions after implementing different machine learning techniques and evaluating the performance of the models. The developed model and user-friendly web application contribute to…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 9

Use Feature Selection Techniques and Build an Ensemble of Classification Models Feature selection is an automatic or manual process to select features which contribute to the prediction and remove irrelevant…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 8

Fine Tuning of an Ensemble of Classification Models Using Random Grid Search Parameters for a model are learned during the training while hyperparameters are set to control the implementation of…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 7

Create a Web-based Application using XGBoost The implementation uses six features which are important to classify the stages of the disease and XGBoost to develop the web-based application. The features…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 6

Build a Classification Model using Tree-Based Algorithms In this implementation, selected features to build classification model include subject’s education, gender, age and a small list of biomarkers as discussed in…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 5

Build a Classification Model using Monthly Changes in Radiology Imaging and Clinical Data Multiple studies such as (Lahmiri and Shmuel, 2018) and (Zhang and Sejdi´c, 2019) typically apply various machine…

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Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 4

Implementation, Evaluation and Results of Alzheimers Disease Progression Models and Development of Web-based Application Introduction There are few conditions and perquisites for building classification models e.g., sample size of data,…

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