Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning.
Morten F S HartwigKaroline Bendix BräunerRasmus Peuliche VogelsangIsmail GögenürPublished in: International journal of colorectal disease (2022)
Using Danish National Patient Registry data in a machine learning-based predictive model showed acceptable results and outperforms current tools for clinical staging in predicting pN0 status in patients scheduled for CRC surgery.
Keyphrases
- lymph node
- machine learning
- end stage renal disease
- ejection fraction
- minimally invasive
- newly diagnosed
- neoadjuvant chemotherapy
- big data
- case report
- quality improvement
- patients undergoing
- squamous cell carcinoma
- artificial intelligence
- patient reported outcomes
- coronary artery disease
- early stage
- radiation therapy
- atrial fibrillation