Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 22 Similar Profiles
Semantics Engineering & Materials Science
Industry Engineering & Materials Science
Information systems Engineering & Materials Science
Expert systems Engineering & Materials Science
Ontology Engineering & Materials Science
Electric network analysis Engineering & Materials Science
Concurrency control Engineering & Materials Science
Costs Engineering & Materials Science

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Research Output 1985 2017

  • 6405 Citations
  • 22 h-Index
  • 77 Article
  • 64 Conference contribution
  • 5 Chapter

A regularization approach for identifying cumulative lagged effects in smart health applications

Srinivasan, K., Currim, F., Ram, S., Lindberg, C., Sternberg, E., Skeath, P., Najafi, B., Razjouyan, J., Lee, H. K., Mehl, M. R., Herzl, D., Herzl, R., Lunden, M., Goebel, N., Andrews, S., Gilligan, B., Heerwagen, J., Kampschroer, K. & Canada, K. Jul 2 2017 DH 2017 - Proceedings of the 2017 International Conference on Digital Health. Association for Computing Machinery, Vol. Part F128634, p. 99-103 5 p.

Research output: ResearchConference contribution

Atmospheric pressure
Atmospheric humidity
Statistical methods
Carbon dioxide
Health
Ontology
Demonstrations
Interoperability
Computer systems

A big data approach for smart transportation management on bus network

Wang, Y., Ram, S., Currim, F., Dantas, E. & Sabóia, L. A. Sep 30 2016 IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7580839

Research output: ResearchConference contribution

management
bus
Big data
city
demand
1 Citations

Extracting signals from social media for chronic disease surveillance

Zhang, W., Ram, S., Burkart, M. & Pengetnze, Y. Apr 11 2016 DH 2016 - Proceedings of the 2016 Digital Health Conference. Association for Computing Machinery, Inc, p. 79-83 5 p.

Research output: ResearchConference contribution

Social Media
Chronic Disease
Asthma
Public health
Health

Feature importance and predictive modeling for Multisource healthcare data with missing values

Srinivasan, K., Currim, F., Ram, S., Foe-Parker, C., Goebel, N., Herzl, R., Lindberg, C., Sternberg, E., Skeath, P., Mehl, M. R., Najafi, B., Razjouyan, J., Lee, H. K., Gilligan, B., Heerwagen, J., Kampschroer, K. & Canada, K. Apr 11 2016 DH 2016 - Proceedings of the 2016 Digital Health Conference. Association for Computing Machinery, Inc, p. 47-54 8 p.

Research output: ResearchConference contribution

Delivery of Health Care
Datasets
Information Storage and Retrieval
Research
Data structures