Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases.

ABSTRACT: Survival prediction integrates patient-specific molecular information and clinical signatures to forecast the anticipated time of an event, such as recurrence, death, or disease progression. Survival prediction proves valuable in guiding treatment decisions, optimizing resource allocation, and interventions of precision medicine. The wide range of diseases, the existence of various variants within the same disease, and the reliance on available data necessitate disease-specific computational survival predictors. The widespread adoption of artificial intelligence (AI) methods in crafting survival predictors has undoubtedly revolutionized this field. However, the ever-increasing demand for more sophisticated and effective prediction models necessitates the continued creation of innovative ad

SUBMITTER: Abbasi AF 

PROVIDER: S-EPMC11252047 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature