Artificial intelligence (AI) systems for interpreting complex medical datasets

Clinical Pharmacology and Therapeutics

Volumn 101, Issue 5, 2017, Pages 585-586

  Altman, R B ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CANCER PROGNOSIS; HEALTH ECONOMICS; HUMAN; LEARNING ALGORITHM; LEGAL LIABILITY; MACHINE LEARNING; NOTE; PATENT; PRIORITY JOURNAL; SUPERVISED MACHINE LEARNING; UNSUPERVISED MACHINE LEARNING; ALGORITHM; ECONOMICS; FACTUAL DATABASE; STATISTICAL ANALYSIS; TRENDS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; HUMANS;

EID: 85018521903     PISSN: 00099236     EISSN: 15326535     Source Type: Journal    
DOI: 10.1002/cpt.650     Document Type: Note

References (6)

1. .
2. .
3. Yu, K.H. et al. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features. Nat. Commun. 7, 12223 (2016).
4. BioRXiv, preprint. .
5. BioRXiv, preprint. .
6. BioRXiv, preprint. .