Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets.
Mika MurtojärviAnni S. HalkolaAntti AirolaTeemu D. LaajalaTuomas MirttiTero AittokallioTapio PahikkalaPublished in: Int. J. Medical Informatics (2020)
Keyphrases
- cost effective
- prostate cancer
- cancer patients
- clinical trials
- high risk
- survival prediction
- disease progression
- electronic health records
- patient care
- prognostic models
- image guided
- low cost
- clinical decision support systems
- decision support system
- imaging modalities
- clinical practice
- lung cancer
- health care
- computer aided
- radiation therapy
- mr images
- gene expression
- data sets
- clinical data
- treatment plan
- experimental design
- gene selection
- medical image analysis
- medical data
- intensive care
- intensive care unit
- data analysis
- data mining