Advances in prognostic models for osteosarcoma risk.
Heliyon
; 10(7): e28493, 2024 Apr 15.
Article
en En
| MEDLINE
| ID: mdl-38586328
ABSTRACT
The risk prognosis model is a statistical model that uses a set of features to predict whether an individual will develop a specific disease or clinical outcome. It can be used in clinical practice to stratify disease severity and assess risk or prognosis. With the advancement of large-scale second-generation sequencing technology, along Prognosis models for osteosarcoma are increasingly being developed as large-scale second-generation sequencing technology advances and clinical and biological data becomes more abundant. This expansion greatly increases the number of prognostic models and candidate genes suitable for clinical use. This article will present the predictive effects and reliability of various prognosis models, serving as a reference for their evaluation and application.
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Banco de datos:
MEDLINE
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En
Revista:
Heliyon
Año:
2024
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Article
País de afiliación:
China