Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study

Jenciūtė, G., Kasputytė, G., Bunevičienė, I., Korobeinikova, E., Vaitiekus, D., Inčiūra, A., Jaruševičius, L., Bunevičius, R., Krikštolaitis, R., Krilavičius, T., Juozaitytė, E., & Bunevičius, A. (2023). Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study. JMIR Research Protocols, 12, e49096. https://doi.org/10.2196/49096
Authors:
Gabrielė Jenciūtė
Gabrielė Kasputytė
Inesa Bunevičienė
Erika Korobeinikova
Domas Vaitiekus
Arturas Inčiūra
Laimonas Jaruševičius
Romas Bunevičius
Ričardas Krikštolaitis
Tomas Krilavičius
Elona Juozaitytė
Adomas Bunevičius
Affiliated Authors:
Adomas Bunevičius
Columbia Affiliation:
Author Keywords:
cancer
digital phenotyping
biomarkers
oncology
digital phenotype
biomarker
data collection
data generation
monitor
monitoring
predict
prediction
model
models
mobile phone
elink
Publication Type:
Article
Unique ID:
10.2196/49096
PMID:
37815850
DOI:
10.2196/49096
Journal:
JMIR Research Protocols
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record

Record Created: