Use of machine learning in the forecast of clinical consequences of cancer diseases.
Nataliya BoykoTetyana SviridovaNataliya ShakhovskaPublished in: MECO (2018)
Keyphrases
- machine learning
- clinical diagnosis
- disease progression
- clinically relevant
- breast cancer
- colorectal cancer
- disease diagnosis
- breast cancer patients
- cancer treatment
- cardiovascular disease
- cancer patients
- machine learning algorithms
- machine learning methods
- bladder cancer
- early diagnosis
- clinical information
- dna microarray
- knowledge acquisition
- data mining
- learning algorithm
- diagnostic process
- short term
- medical domain
- early detection
- feature selection
- outcome prediction
- medical doctors
- data analysis
- cross sectional
- statistical methods
- text mining
- patient data
- risk factors
- treatment planning
- prostate cancer
- long term
- health related
- decision support system
- traditional chinese medicine
- logistic regression