AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature. Birgmeier Johannes et al. Genetics in medicine : official journal of the American College of Medical Genetics 2019 Aug

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Last Posted: Sep 03, 2019

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• AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature.
  Birgmeier Johannes et al. Genetics in medicine : official journal of the American College of Medical Genetics 2019 Aug
• [Endoscopic Diagnosis Using Artificial Intelligence].
  Hirasawa Toshiaki et al. Gan to kagaku ryoho. Cancer & chemotherapy 2019 Mar 46(3) 412-417
• Explainable machine-learning predictions for the prevention of hypoxaemia during surgery.
  Lundberg Scott M et al. Nature biomedical engineering 2018 2(10) 749-760
• Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.
  Stevens Elizabeth et al. International journal of medical informatics 2019 May 12929-36
• m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.
  Istepanian Robert S H et al. Methods (San Diego, Calif.) 2018 15134-40
• Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model.
  Lin Ke et al. International journal of medical informatics 2019 12555-61
• Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports.
  Carrodeguas Emmanuel et al. Journal of the American College of Radiology : JACR 2019 Mar 16(3) 336-343
• Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.
  Wan Nathan et al. BMC cancer 2019 Aug 19(1) 832
• Artificial intelligence for medicine needs a Turing test. Obesity would be a good one
  M Joyner, StatNews, August 28, 2019
• Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks.
  Vilne Baiba et al. Frontiers in microbiology 2019 1722

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