Michiel Schinkel

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michiel Schinkel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Davide Castelvecchi
  2. Thomas Bodenheimer
  3. R. Evans

Papers from Michiel Schinkel's perspective

Ordered by how strongly the researchers Michiel Schinkel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)
  2. Adversarial attacks on medical machine learning (Science)
  3. Electronic Health Records: Then, Now, and in the Future (Yearbook of Medical Informatics)
  4. Can we open the black box of AI?
  5. Medical Education Must Move From the Information Age to the Age of Artificial Intelligence (Academic medicine : journal of the Association of American Medical Colleges)
  6. Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (Genetic Epidemiology)
  7. Partitioning heritability by functional annotation using genome-wide association summary statistics (Nature Genetics)
  8. From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider (Annals of Family Medicine)
  9. Genetic mechanisms of critical illness in COVID-19 (Nature)
  10. arXiv

Their papers