Paula L. McClean

According to our database, Paula L. McClean authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020

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

2019

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin

Expert Syst. Appl., 2019