Personalized Symptom Tracking
Personalized Symptom Tracking is a computational health methodology that individualizes the monitoring and analysis of patient-reported symptoms through adaptive data collection and user-specific modeling to enhance clinical insight and intervention precision.
5
Publications
156
Citations
28
Authors
15
Institutions
Publications per year
2017–2026
3
Parents
5
1–5 of 5
28
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 28
15
Huzhou Central Hospital
Huzhou, China
1 h-index
1 publications
15 citations
Tokyo University of Pharmacy and Life Sciences
Hachiōji, Japan
1 h-index
1 publications
14 citations
Tokatsu Hospital
Nagareyama, Japan
1 h-index
1 publications
14 citations
University of Bern
Bern, Switzerland
1 h-index
1 publications
65 citations
University of California, Irvine
Irvine, United States
1 h-index
2 publications
68 citations
New York University
New York, United States
1 h-index
3 publications
45 citations
University of Zurich
Zurich, Switzerland
1 h-index
1 publications
65 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
1 h-index
1 publications
65 citations
1–8 of 15
1 publications · 14 citations
1
h-index
1 publications · 28 citations
1
h-index
JPM · 1 publications · 15 citations
1
h-index
1 publications · 65 citations
1
h-index
1 publications · 17 citations
1–5