A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. - Magda Bucholc; Xuemei Ding; Haiying Wang 001; David H. Glass; Hui Wang 001; Girijesh Prasad; Liam P. Maguire; Anthony J. Bjourson; Paula L. McClean; Stephen Todd; David P. Finn; KongFatt Wong-Lin (Expert Syst. Appl., 2019)

Predicting feature imputability in the absence of ground truth. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (CoRR, 2020)

Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin; Neuroimaging Initiative (EMBC, 2022)

Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. - Niamh McCombe; Alok Joshi; David P. Finn; Paula L. McClean; Gemma Roberts; John T. O'Brien; Alan J. Thomas; Joseph P. M. Kane; KongFatt Wong-Lin (EMBC, 2022)

Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. - Alok Joshi; Stephen Todd; David P. Finn; Paula L. McClean; KongFatt Wong-Lin (BMC Medical Informatics Decis. Mak., 2022)

Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. - Niamh McCombe; Shuo Liu; Xuemei Ding; Girijesh Prasad; Magda Bucholc; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (IEEE J. Biomed. Health Informatics, 2022)

Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data. - Afolabi Salami Alausa; Jose Miguel Sanchez Bornot; Abdoreza Asadpour; Paula L. McClean; KongFatt Wong-Lin (UKCI, 2024)