Author image not provided
 Kelvin KF F Tsoi

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article0.00
Citation Count0
Publication count11
Publication years2015-2017
Available for download3
Average downloads per article131.67
Downloads (cumulative)395
Downloads (12 Months)202
Downloads (6 Weeks)21
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author




BOOKMARK & SHARE


13 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 13 of 13
Sort by:

1 published by ACM
April 2018 DH '18: Proceedings of the 2018 International Conference on Digital Health
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 70,   Downloads (Overall): 78

Full text available: PDFPDF
Dementia is a public health problem which is affecting millions of elderly worldwide. Many screening tests are available for early detection on the symptoms of dementia, but most of them are in paper-and-pencil form. The guidance and judgment on test performance are heavily relied on healthcare professionals, but the subjective ...
Keywords: dementia screening, digital drawing, machine learning

2
January 2018 International Journal of Healthcare Information Systems and Informatics: Volume 13 Issue 1, January 2018
Publisher: IGI Global
Bibliometrics:
Citation Count: 0

Visual analytics is widely used to explore data patterns and trends. This work leverages cancer data collected by World Health Organization WHO across a hundred of cancer registries worldwide. In this study, the authors present a visual analytics platform, IBM Watson Analytics, to explore the patterns of global cancer incidence. ...
Keywords: Cancer Incidence, Visual Analytics, Choropleth Map, Global Comparison, Interactive Interface

3 published by ACM
July 2017 DH '17: Proceedings of the 2017 International Conference on Digital Health
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 32,   Downloads (Overall): 81

Full text available: PDFPDF
Background: Blood pressure variability (BPV) is associated with the cardiovascular disease. However, there is no standard risk stratification method to evaluate BPV. Our study aims to cluster BPV into three levels, namely, low, medium and high levels, by a machine learning approach. Methods: The Systolic Blood Pressure Intervention Trial (SPRINT) ...
Keywords: blood pressure variability, clustering, machine learning

4 published by ACM
July 2017 DH '17: Proceedings of the 2017 International Conference on Digital Health
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 74,   Downloads (Overall): 168

Full text available: PDFPDF
Background: Heart rate variability (HRV) refers to the variation in time interval between heart rates (RR-interval). Studies have demonstrated that emotional disorder is associated with lower HRV. Electrocardiography (ECG) is the conventional HRV measurement conducted by healthcare professionals. Wearable devices with HRV measurement function may be a convenient and low-cost ...
Keywords: cloud platform, heart rate variability, wearable devices

5
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 26,   Downloads (Overall): 68

Full text available: PDFPDF
The ongoing growth in research data publication supports global intra-disciplinary and inter-disciplinary research collaboration but the current generation of archive-centric research data repositories do not address some of the key practical obstacles to research data sharing and re-use, specifically: discovering relevant data on a global scale is time-consuming; sharing `live' ...
Keywords: data science, research data management, social machines

6
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Simulation has been demonstrated to be a powerful tool to mimic processes and activities in emergency departments. However, most applications only rely on the data that were manually input by the staff in the departments. First, this practice does not guarantee that the required data to build the simulation models ...
Keywords: big data, simulation modelling, emergency department, RFID

7
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Air pollution poses an increased risk for respiratory infections and lung cancer. Monitoring systems on air pollution are common for outdoor environment. In this study, our focus is on the air monitoring in household environment and connects it to a personal health reporting system through a mobile APP. Data will ...
Keywords: Air Pollution, Personal Heath, Data Mining, Date Capturing Platform

8
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Feature selection in genome data faces the challenge of high dimensionality of variables. When the goal of analytics is to identify susceptible loci for complex disease, interaction effects need to be considered, and the actual number of variables to be screened is even larger than the original number of variables ...
Keywords: screening, feature selection, GWAS

9
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Hypertension is a significant modifiable risk factor for cardiovascular and kidney disease, and blood pressure (BP) control is a very important step for cardiovascular risk management. Recently, home telemonitoring BP has been suggested as an effective tool for BP control and been commonly used in Western countries. Application of technology ...
Keywords: Cloud Platform, Hypertension, Blood Pressure, Big Data Processing

10
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The big data in Accident and Emergency services in hospitals worth being analyzed to provide clinical decision support to clinicians and medical information to patients. System Dynamics modelling is a technique used for modelling complex behaviors of organizational and social systems. In this study, a system dynamics approach is used ...
Keywords: System dynamics, emergency department, patient flow, accident and emergency

11
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Disasters are sudden and calamitous events that can cause severe and pervasive negative impacts on society and huge human losses. Governments and humanitarian organizations have been putting tremendous efforts to avoid and reduce the negative consequences due to disasters. In recent years, information technology and big data have played an ...
Keywords: disaster response, real-time disaster data, humanitarian logistics, emergency supplies, mathematical modeling, optimization, mixed-integer linear programming

12
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Hospital Authority (HA) has launched a Surgical Outcome Monitoring and Improvement Program (SOMIP), which is used to audit the surgical performance of all public hospitals in Hong Kong. One of the most important information provided by the annual SOMIP report is the changes of 30-day mortality and identify whether and ...
Keywords: monitoring performance, Surgical big data, risk adjustment, EWMA

13
June 2015 BIGDATACONGRESS '15: Proceedings of the 2015 IEEE International Congress on Big Data
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Technology in the Cloud frameworks for healthcare data management and analytics has opened new horizons for public health research. Smoking is an addictive behavior and increases risk of death from different diseases, such as heart attacks or lung cancer. Nowadays, electronic cigarettes (e-cigarettes) are becoming popular in western countries and ...
Keywords: Cloud Platform, Smoking Behaviour, Big Data Processing



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2019 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us