Genomics & Precision Health Database| the Genomics & Health Impact Weekly Sca|PHGKB

Genomics & Precision Health Database| the Genomics & Health Impact Weekly Sca|PHGKB

Non-Genomics Precision Health Update

The latest information and publications on the impact of big data science, machine learning and predictive analytics on public health.

• New Phenotypes for Sepsis: The Promise and Problem of Applying Machine Learning and Artificial Intelligence in Clinical Research.
  Knaus William A et al. JAMA 2019 May
• Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.
  Seymour Christopher W et al. JAMA 2019 May
• Predictive analytics and machine learning in stroke and neurovascular medicine.
  Saber Hamidreza et al. Neurological research 2019 Apr 1-10
• Connected Health Technology for Cardiovascular Disease Prevention and Management.
  Wongvibulsin Shannon et al. Current treatment options in cardiovascular medicine 2019 May 21(6) 29
• A Contrarian View of Digital Health
  J Mandrola, Quillette, May 17, 2019
• A new era: artificial intelligence and machine learning in prostate cancer.
  Goldenberg S Larry et al. Nature reviews. Urology 2019 May
• Big Data and the Intelligence Community - Lessons for Health Care.
  Vigilante Kevin et al. The New England journal of medicine 2019 May 380(20) 1888-1890
• Recent technical development of artificial intelligence for diagnostic medical imaging.
  Nakata Norio et al. Japanese journal of radiology 2019 Feb 37(2) 103-108
• The Role of Artificial Intelligence in Interventional Oncology: A Primer.
  Letzen Brian et al. Journal of vascular and interventional radiology : JVIR 2019 30(1) 38-41.e1
• Systematic review of the use of big data to improve surgery in low- and middle-income countries.
  Knight S R et al. The British journal of surgery 2019 106(2) e62-e72
• Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.
  Wong Adrian et al. Pharmacotherapy 2018 38(8) 822-841
• Leveraging electronic health records for clinical research.
  Raman Sudha R et al. American heart journal 2018 20213-19
• Electronic Health Record-Enabled Big-Data Approaches to Nephrotoxin-Associated Acute Kidney Injury Risk Prediction.
  Sutherland Scott M et al. Pharmacotherapy 2018 38(8) 804-812
• A prediction model of blood pressure for telemedicine.
  Kwong Enid Wai-Yung et al. Health informatics journal 2018 24(3) 227-244
• Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
  Hannun Awni Y et al. Nature medicine 2019 25(1) 65-69
• Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
  Kather Jakob Nikolas et al. PLoS medicine 2019 16(1) e1002730
• Medicine in the digital age.
  et al. Nature medicine 2019 25(1) 1
• Toward a clearer picture of health.
  Arnaout Rima et al. Nature medicine 2019 Jan 25(1) 12
• Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
  Attia Zachi I et al. Nature medicine 2019 25(1) 70-74
• Guidelines for reinforcement learning in healthcare.
  Gottesman Omer et al. Nature medicine 2019 Jan 25(1) 16-18