Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests.
Tiago D. MartinsRubens Maciel FilhoSilmara MontalvãoGabriele S. S. GoisMohamad Al BannoudGabriel Y. OttaianoThaizy R. A. AnhaiaMillene E. A. AlmeidaMonique R. M. FerreiraBeatriz M. MartinelliMaria C. G. L. FernandesStephany C. HuberDaniel RibeiroJúlio C. TeixeiraJosé B. C. CarvalheiraCarmen S. P. LimaNelson A. AndreolloMaurício EtchebehereLair ZambonUbirajara FerreiraAlfio J. TincaniAntônio S. MartinsCláudio S. R. CoyJosé C. T. SeabraRicardo K. MussiHelder TedeschiJoyce Maria Annichino-BizzacchiPublished in: Neural Comput. Appl. (2024)
Keyphrases
- patient data
- cancer patients
- clinical data
- septic shock
- artificial intelligence
- intensive care
- medical data
- statistical analysis
- raw data
- domain experts
- knowledge discovery
- expert systems
- early detection
- breast cancer
- case based reasoning
- knowledge representation
- machine learning
- xml documents
- knowledge acquisition
- databases
- intraoperative
- domain knowledge