Routine laboratory blood tests predict SARS-CoV-2 infection using machine learning HS Yang et al, MEDRXIV, June 19, 2020

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Last Posted: Jun 20, 2020

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• Routine laboratory blood tests predict SARS-CoV-2 infection using machine learning
  HS Yang et al, MEDRXIV, June 19, 2020
• Explainable machine learning models to understand determinants of COVID-19 mortality in the United States
  P Mathur et al, MEDRXIV, June 17,2020
• Coronavirus Pathogenicity Clues Uncovered Using Machine-Learning Approach
  GenomeWeb, Jun 11, 2020.
• An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC
  F Khmaissia et al, ARXIV, June 11, 2020
• Machine learning approaches to drug response prediction: challenges and recent progress
  J Adam et al, NPJ Precision Oncology, June 15, 2020
• A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.
  Lv Nan et al. International journal of computer assisted radiology and surgery 2020 Jun
• Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks.
  Feiger Bradley et al. Scientific reports 2020 Jun 10(1) 9508
• AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks.
  Kinkead Laura et al. BMC medical informatics and decision making 2020 Jun 20(1) 104
• Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach.
  Peng Li-Ning et al. Journal of medical Internet research 2020 Jun 22(6) e16213
• Convolutional neural networks for brain tumour segmentation.
  Bhandari Abhishta et al. Insights into imaging 2020 Jun 11(1) 77

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