Automated Information Extraction on Treatment and Prognosis for Non-Small Cell Lung Cancer Radiotherapy Patients: Clinical Study.
Shuai ZhengSalma K JabbourShannon E O'ReillyJames J LuLihua DongLijuan DingYing XiaoNing J YueFusheng WangWei ZouPublished in: JMIR medical informatics (2018)
The IDEAL-X system is capable of extracting study data regarding NSCLC chemoradiation patients with significant accuracy and effectiveness, and therefore can be used in large-scale radiotherapy clinical data studies.
Keyphrases
- locally advanced
- end stage renal disease
- early stage
- electronic health record
- small cell lung cancer
- newly diagnosed
- radiation therapy
- ejection fraction
- chronic kidney disease
- randomized controlled trial
- big data
- rectal cancer
- systematic review
- prognostic factors
- machine learning
- deep learning
- high throughput
- healthcare
- health information
- social media
- advanced non small cell lung cancer
- artificial intelligence
- replacement therapy