Machine Learning and the Cancer-Diagnosis Problem - No Gold Standard. Adamson Adewole S et al. The New England journal of medicine 2019 Dec (24) 2285-2287

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Last Posted: Dec 13, 2019

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• Machine Learning and the Cancer-Diagnosis Problem - No Gold Standard.
  Adamson Adewole S et al. The New England journal of medicine 2019 Dec (24) 2285-2287
• Making Machine Learning Accessible and Actionable for Clinicians.
  Schneider David F et al. JAMA network open 2019 Dec (12) e1917362
• PGxMine: Text mining for curation of PharmGKB.
  Lever Jake et al. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2020 25611-622
• Machine learning detection of obstructive hypertrophic cardiomyopathy using a wearable biosensor
  R Ueno et al, NPJ Digital Medicine, December 2019
• [Artificial intelligence and radiomics in MRI-based prostate diagnostics].
  Hamm Charlie Alexander et al. Der Radiologe 2019 Dec
• A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset.
  Liu Tianyu et al. Artificial intelligence in medicine 2019 Nov 101101723
• A two-dimensional feasibility study of deep learning-based feature detection and characterization directly from CT sinograms.
  De Man Quinten et al. Medical physics 2019 Dec 46(12) e790-e800
• Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.
  Bennett Aviya et al. Journal of biomedical optics 2019 24(12) 1-10
• Deep learning: definition and perspectives for thoracic imaging.
  Chassagnon Guillaume et al. European radiology 2019 Dec
• Developing an Artificial Intelligence-Enabled Health Care Practice: Rewiring Health Care Professions for Better Care.
  Wiljer David et al. Journal of medical imaging and radiation sciences 2019 Nov

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