Machine learning helps to hunt down the cause of a paralysing illness

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Last Posted: Dec 09, 2018

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• Machine learning helps to hunt down the cause of a paralysing illness
  S Reardon, Nature News, December 6, 2018
• From high definition precision healthcare to precision public oral health: opportunities and challenges.
  Slavkin Harold C et al. Journal of public health dentistry 2018 Dec
• A Primer on Data Analytics in Functional Genomics: How to Move from Data to Insight?
  P Grabowski et al, Trends Biochem Sci, December 2018
• Better medicine through machine learning: What’s real, and what’s artificial? 
  PLOS Blogs, November 2018
• Clinical judgement in the era of big data and predictive analytics.
  Chin-Yee Benjamin et al. Journal of evaluation in clinical practice 2018 24(3) 638-645
• Modern Information Technology for Cancer Research: What's in IT for Me? An Overview of Technologies and Approaches.
  Ahlbrandt Janko et al. Oncology 2018 Nov 1-7
• Machine Learning Methods in Precision Medicine Targeting Epigenetics Diseases.
  Fan Shijie et al. Current pharmaceutical design 2018 Nov
• A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.
  Ainscough Benjamin J et al. Nature genetics 2018 Nov
• A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.
  Kim Isaac et al. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 2018 Oct
• Alzheimer's Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers.
  Sapkota Shraddha et al. Frontiers in aging neuroscience 2018 10296

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