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Faculties & Institutes
Faculty of Scien... [7]
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FONG SIMON JAMES [6]
VAI MANG I [1]
SIU WENG IN [1]
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Conference paper [7]
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Diabetes Therapy Prognosis through Data Stream Mining Methods and Techniques
Conference paper
Dana Wang, Simon Fong, Seoungjae Cho, Kyungeun Cho, Yongwoon Park. Diabetes Therapy Prognosis through Data Stream Mining Methods and Techniques[C], 2016, 127-132.
Authors:
Dana Wang
;
Simon Fong
;
Seoungjae Cho
;
Kyungeun Cho
;
Yongwoon Park
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TC[Scopus]:
0
|
Submit date:2019/02/13
Diabetes Therapy
Insulin Mellitus
Classification Algorithms
Data Stream Mining
Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support
Conference paper
Simon Fong, Luke Lu, Kun Lan, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed. Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support[C], 2013, 33-40.
Authors:
Simon Fong
;
Luke Lu
;
Kun Lan
;
Osama Mohammed
;
Jinan Fiaidhi
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2019/02/13
Ensemble Data Mining
Clinical Decision Support
Rule-based System
Medical Informatics
A time-series pre-processing methodology for biosignal classification using statistical feature extraction
Conference paper
Simon Fong, Kun Lan, Paul Sun, Sabah Mohammed, Jinan Fiaidhi. A time-series pre-processing methodology for biosignal classification using statistical feature extraction[C], 2013, 207-214.
Authors:
Simon Fong
;
Kun Lan
;
Paul Sun
;
Sabah Mohammed
;
Jinan Fiaidhi
Favorite
|
TC[Scopus]:
9
|
Submit date:2019/02/13
Biosignal Classification
Time-series Pre-processing
Data Mining
Medical Informatics
A visualization methodology for studying relations of medical data via extended dependency networks
Conference paper
Simon Fong, Luke Lu, Jinan Fiaidhi, Sabah Mohammed. A visualization methodology for studying relations of medical data via extended dependency networks[C], 2012, 283-290.
Authors:
Simon Fong
;
Luke Lu
;
Jinan Fiaidhi
;
Sabah Mohammed
Favorite
|
TC[Scopus]:
2
|
Submit date:2019/02/13
Medical Data Visualization
Dependency Networks
Correlation
Feature Selection
Ripper
A Multi-Level Biomedical Classification Model By Using Abstraction And Aggregation Techniques
Conference paper
Simon Fong, Andy Ip, Sabah Mohammed. A Multi-Level Biomedical Classification Model By Using Abstraction And Aggregation Techniques[C], 2011.
Authors:
Simon Fong
;
Andy Ip
;
Sabah Mohammed
Favorite
|
TC[Scopus]:
1
|
Submit date:2019/07/25
Biomedical Data Classication
Decision Tree
Multi-level Data Visualization
Enhanced Platform with Rulebase ROM File System for the Network-based Intelligent Home Healthcare Embedded System
Conference paper
Tang S., Chan W.C., Vai M.I., Mak P.U.. Enhanced Platform with Rulebase ROM File System for the Network-based Intelligent Home Healthcare Embedded System[C], 2005, 573-577.
Authors:
Tang S.
;
Chan W.C.
;
Vai M.I.
;
Mak P.U.
Favorite
|
TC[Scopus]:
1
|
Submit date:2019/02/14
Embedded
Expert System
Intelligent
Rom And File System
An Integrative Framework of Predictive Mining Methods for Medical Prognosis
Conference paper
Simon Fong, Shirley Siu. An Integrative Framework of Predictive Mining Methods for Medical Prognosis[C]:ACTA PRESS, B6, STE 101, 2509 DIEPPE AVE SW, CALGARY, ALBERTA T3E 7J9, CANADA, 2004, 370-377.
Authors:
Simon Fong
;
Shirley Siu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2019/02/13
Data-mining
Medical Prognosis
Prognosis Prediction