Machine Learning Goes Mainstream: PLOS Medicine 15th Anniversary PLOS Blogs, October 8, 2019

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Last Posted: Oct 11, 2019

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• Machine Learning Goes Mainstream: PLOS Medicine 15th Anniversary
  PLOS Blogs, October 8, 2019
• Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques.
  Montoya Perez Ileana et al. Journal of magnetic resonance imaging : JMRI 2019 Oct
• Machine Learning in Epidemiology and Health Outcomes Research.
  Wiemken Timothy L et al. Annual review of public health 2019 Oct
• A deep learning framework for automatic diagnosis of unipolar depression.
  Mumtaz Wajid et al. International journal of medical informatics 2019 Sep 132103983
• An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
  Senders Joeky T et al. Neurosurgery 2019 Oct
• ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.
  Raczkowski Lukasz et al. Scientific reports 2019 Oct 9(1) 14347
• Can machine learning improve patient selection for cardiac resynchronization therapy?
  Hu Szu-Yeu et al. PloS one 2019 14(10) e0222397
• Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis.
  Tran Bach Xuan et al. JMIR medical informatics 2019 Sep 7(4) e14401
• Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study.
  Sena Gabrielle Ribeiro et al. JMIR cancer 2019 Sep 5(2) e12163
• Differentiating Noninvasive Follicular Thyroid Neoplasm with Papillary-Like Nuclear Features from Classic Papillary Thyroid Carcinoma: Analysis of Cytomorphologic Descriptions Using a Novel Machine-Learning Approach.
  Maleki Sara et al. Journal of pathology informatics 2019 1029

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