KongFatt Wong-Lin
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Explore the profile of KongFatt Wong-Lin including associated specialties, affiliations and a list of published articles.
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61
Citations
602
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Recent Articles
1.
Lenfesty B, Bhattacharyya S, Wong-Lin K
Neural Comput
. 2025 Jan;
37(3):569-587.
PMID: 39787421
Decision formation in perceptual decision making involves sensory evidence accumulation instantiated by the temporal integration of an internal decision variable toward some decision criterion or threshold, as described by sequential...
2.
Haridas N, Sanchez-Bornot J, McClean P, Wong-Lin K
Healthc Technol Lett
. 2024 Dec;
11(6):452-460.
PMID: 39720752
Missing Alzheimer's disease (AD) data is prevalent and poses significant challenges for AD diagnosis. Previous studies have explored various data imputation approaches on AD data, but the systematic evaluation of...
3.
Asadpour A, Tan H, Lenfesty B, Wong-Lin K
Comput Brain Behav
. 2024 May;
7(2):195-206.
PMID: 38798787
Supplementary Information: The online version contains supplementary material available at 10.1007/s42113-023-00194-1.
4.
Hao J, Zou J, Zhang J, Chen K, Wu D, Cao W, et al.
Brief Bioinform
. 2023 Feb;
24(2).
PMID: 36813563
Cell-state transition can reveal additional information from single-cell ribonucleic acid (RNA)-sequencing data in time-resolved biological phenomena. However, most of the current methods are based on the time derivative of the...
5.
Behera C, Joshi A, Wang D, Sharp T, Wong-Lin K
Front Comput Neurosci
. 2023 Feb;
16:950489.
PMID: 36761394
Degenerate neural circuits perform the same function despite being structurally different. However, it is unclear whether neural circuits with interacting neuromodulator sources can themselves degenerate while maintaining the same neuromodulatory...
6.
McCombe N, Bamrah J, Sanchez-Bornot J, Finn D, McClean P, Wong-Lin K
Healthc Technol Lett
. 2022 Dec;
9(6):102-109.
PMID: 36514476
Biomarkers for Alzheimer's disease (AD) diagnosis do not always correlate reliably with cognitive symptoms, making clinical diagnosis inconsistent. In this study, the performance of a graphical neural network (GNN) classifier...
7.
Joshi A, Todd S, Finn D, McClean P, Wong-Lin K
BMC Med Inform Decis Mak
. 2022 Oct;
22(1):262.
PMID: 36207697
Background: Dementia is a group of symptoms that largely affects older people. The majority of patients face behavioural and psychological symptoms (BPSD) during the course of their illness. Alzheimer's disease...
8.
McCombe N, Ding X, Prasad G, Finn D, Todd S, McClean P, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:1098-1104.
PMID: 36086363
Current machine learning techniques for dementia diagnosis often do not take into account real-world practical constraints, which may include, for example, the cost of diagnostic assessment time and financial budgets....
9.
McCombe N, Joshi A, Finn D, McClean P, Roberts G, OBrien J, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:4929-4933.
PMID: 36085984
Dementia with Lewy Bodies (DLB) is the second most common form of dementia, but diagnostic markers for DLB can be expensive and inaccessible, and many cases of DLB are undiagnosed....
10.
McCombe N, Ding X, Prasad G, Gillespie P, Finn D, Todd S, et al.
IEEE J Transl Eng Health Med
. 2022 May;
10:4900809.
PMID: 35557505
Objective: Despite the potential of machine learning techniques to improve dementia diagnostic processes, research outcomes are often not readily translated to or adopted in clinical practice. Importantly, the time taken...