TY - JOUR
T1 - Disease Trajectories from Healthcare Data
T2 - Methodologies, Key Results, and Future Perspectives
AU - Jørgensen, Isabella Friis
AU - Haue, Amalie Dahl
AU - Placido, Davide
AU - Hjaltelin, Jessica Xin
AU - Brunak, Søren
PY - 2024
Y1 - 2024
N2 - Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provide an overview of disease trajectory studies with a focus on European work, including ontologies used as well as computational methodologies for the construction of disease trajectories. We also discuss different applications of disease trajectories from descriptive risk identification to disease progression, patient stratification, and personalized predictions using machine learning. We describe challenges and opportunities in the area that eventually will benefit from initiatives such as the European Health Data Space, which, with time, will make it possible to analyze data from cohorts comprising hundreds of millions of patients.
AB - Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provide an overview of disease trajectory studies with a focus on European work, including ontologies used as well as computational methodologies for the construction of disease trajectories. We also discuss different applications of disease trajectories from descriptive risk identification to disease progression, patient stratification, and personalized predictions using machine learning. We describe challenges and opportunities in the area that eventually will benefit from initiatives such as the European Health Data Space, which, with time, will make it possible to analyze data from cohorts comprising hundreds of millions of patients.
KW - Humans
KW - Disease Progression
KW - Machine Learning/trends
KW - Delivery of Health Care
KW - Europe/epidemiology
U2 - 10.1146/annurev-biodatasci-110123-041001
DO - 10.1146/annurev-biodatasci-110123-041001
M3 - Review
C2 - 39178424
VL - 7
SP - 251
EP - 276
JO - Annual Review of Biomedical Data Science
JF - Annual Review of Biomedical Data Science
SN - 2574-3414
ER -