A review of big data technology and its application in cancer care.
Comput Biol Med
; 176: 108577, 2024 Jun.
Article
de En
| MEDLINE
| ID: mdl-38739981
ABSTRACT
The development of modern medical devices and information technology has led to a rapid growth in the amount of data available for health protection information, with the concept of medical big data emerging globally, along with significant advances in cancer care relying on data-driven approaches. However, outstanding issues such as fragmented data governance, low-quality data specification, and data lock-in still make sharing challenging. Big data technology provides solutions for managing massive heterogeneous data while combining artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) to better mine the intrinsic connections between data. This paper surveys and organizes recent articles on big data technology and its applications in cancer, dividing them into three different types to outline their primary content and summarize their critical role in assisting cancer care. It then examines the latest research directions in big data technology in cancer and evaluates the current state of development of each type of application. Finally, current challenges and opportunities are discussed, and recommendations are made for the further integration of big data technology into the medical industry in the future.
Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Mégadonnées
/
Tumeurs
Limites:
Humans
Langue:
En
Journal:
Comput Biol Med
/
Comput. biol. med
/
Computers in biology and medicine
Année:
2024
Type de document:
Article
Pays de publication:
États-Unis d'Amérique