Nausea Prediction

Nausea Prediction is a computational method designed to forecast the occurrence or intensity of nausea in individuals based on physiological, behavioral, or contextual indicators, distinguished from other symptom prediction approaches by its specific focus on nausea as the target outcome.

38

Publications

1.5K

Citations

201

Authors

113

Institutions

Publications per year

2017–2026

9

Authors

201

  1. DH
    Dana H. Bovbjerg

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 110 citations

    4

    h-index

  2. GH
    Guy H. Montgomery

    Icahn School of Medicine at Mount Sinai, United States

    3 publications · 88 citations

    3

    h-index

  3. GR
    Gary R. Morrow

    University of Rochester, United States

    3 publications · 224 citations

    3

    h-index

  4. AM
    Alex Molassiotis

    University of Manchester, United Kingdom

    3 publications · 347 citations

    3

    h-index

  5. CA
    Cihun‐Siyong Alex Gong

    Chang Gung University, Taiwan

    2 publications · 46 citations

    2

    h-index

1–5 of 201

Venues

  1. Supportive Care in Cancer

    5 publications · 230 citations

    5

    h-index

  2. British Journal of Anaesthesia

    3 publications · 192 citations

    3

    h-index

  3. Journal of Consulting and Clinical Psychology

    2 publications · 68 citations

    2

    h-index

  4. Journal of Pain and Symptom Management

    2 publications · 102 citations

    2

    h-index

  5. Journal of Neurogastroenterology and Motility

    JNM · 1 publications · 13 citations

    1

    h-index

1–5