TY  - JOUR
AU  - Lobato-Delgado, Barbara
AU  - Priego-Torres, Blanca
AU  - Sanchez-Morillo, Daniel
PY  - 2022
DO  - 10.3390/cancers14133215
SN  - 2072-6694
UR  - http://hdl.handle.net/10668/20906
T2  - Cancers
AB  - Cancer is one of the most detrimental diseases globally. Accordingly, the prognosis prediction of cancer patients has become a field of interest. In this review, we have gathered 43 state-of-the-art scientific papers published in the last 6 years that...
LA  - en
PB  - MDPI
KW  - Artificial intelligence
KW  - Cancer
KW  - Data integration
KW  - Machine learning
KW  - Multimodal data
KW  - Patient risk stratification
KW  - Prognosis prediction
KW  - Survival analysis
KW  - Deep learning
KW  - Multiomics
KW  - Precision medicine
KW  - Neoplasms
KW  - Machine learning
KW  - Diagnostic imaging
KW  - Prognosis
KW  - Survival analysis
TI  - Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis.
TY  - Research article
VL  - 14
ER  -