N. Mccombe

Computational Neurology: Computational Modeling Approaches in Dementia

Nadim A. A. Atiya, Liam P. Maguire, KongFatt Wong-Lin, 2020, 2005.02214.

Practical strategies for large missing data in dementia diagnosis

KongFatt Wong-Lin, S. Todd, D. Finn, 2020, medRxiv.

Shaping a data-driven era in dementia care pathway through computational neurology approaches

KongFatt Wong-Lin, B. McGuinness, S. Todd, 2020, BMC Medicine.

Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis

KongFatt Wong-Lin, S. Todd, G. Prasad, 2021, IEEE Journal of Biomedical and Health Informatics.

Alzheimer's disease classification using cluster‐based labelling for graph neural network on heterogeneous data

Jose M. Sanchez-Bornot, KongFatt Wong-Lin, P. McClean, 2022, Healthcare technology letters.

An Early Stage Researcher's Primer on Systems Medicine Terminology

Haiying, D. H. Glass, Nadim A. A. Atiya, 2020, Network and systems medicine.

Alzheimer's Disease Classification Using Cluster-based Labelling for Graph Neural Network on Tau PET Imaging and Heterogeneous Data

Jose M. Sanchez-Bornot, KongFatt Wong-Lin, P. McClean, 2022, medRxiv.

Accuracy-time optimisation with cost-sensitive feature selection for Alzheimer's disease diagnosis

KongFatt Wong-Lin, S. Todd, D. Finn, 2021, medRxiv.

Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study

KongFatt Wong-Lin, A. Thomas, P. McClean, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Predicting feature imputability in the absence of ground truth pdf

Stephen Todd, Girijesh Prasad, KongFatt Wong-Lin, 2020, ICML 2020.