Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters.
Simon Lebech CichoszMorten Hasselstrøm JensenOle K. HejlesenStine Dam HenriksenAsbjørn Mohr DrewesSøren Schou OlesenPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- diabetes mellitus
- high risk
- risk factors
- diabetic patients
- outcome prediction
- prostate cancer
- chronic disease
- root mean square error
- prediction accuracy
- medical data
- lung cancer
- linear regression model
- prediction model
- blood glucose
- cardiovascular disease
- experimental data
- health care
- cancer patients
- maximum likelihood
- prognostic models
- breast cancer
- clinical diagnosis
- early diagnosis
- cancer diagnosis
- medical knowledge
- clinical trials
- prediction error
- risk management
- physiological parameters
- decision making
- colorectal cancer
- blood pressure
- clinical data
- decision support system