Predictive Alerts

Predictive Alerts is an alerting mechanism that distinguishes itself by generating warnings based on anticipated future events or conditions derived from historical data, statistical models, or machine learning algorithms, as opposed to reactive or real-time anomaly detection.

60

Publications

3K

Citations

333

Authors

132

Institutions

Publications per year

2017–2026

31

Authors

333

  1. SJ
    Shanchieh Jay Yang

    Rochester Institute of Technology, United States

    2 publications · 116 citations

    2

    h-index

  2. MA
    M. A. Saeed

    University of Technology Malaysia, Malaysia

    2 publications · 57 citations

    2

    h-index

  3. LJ
    Larry J. Eshelman

    Philips (United States), United States

    2 publications · 57 citations

    2

    h-index

  4. SJ
    Sushil Jajodia

    George Mason University, United States

    2 publications · 380 citations

    2

    h-index

  5. LN
    Larry Nielsen

    Philips (United States), United States

    2 publications · 57 citations

    2

    h-index

1–5 of 333

Venues

  1. Journal of Diabetes Science and Technology

    DST · 5 publications · 165 citations

    5

    h-index

  2. PubMed

    Repository · 3 publications · 49 citations

    2

    h-index

  3. JMIR Diabetes

    2 publications · 59 citations

    2

    h-index

  4. Journal of Networks

    JNW · 1 publications · 51 citations

    1

    h-index

  5. Malaysian Journal of Computer Science

    1 publications · 10 citations

    1

    h-index

1–5