[
  {
    "title": "Automated identification of implausible values in growth data from pediatric electronic health records",
    "author": [
      {
        "given": "Carrie Daymont",
        "family": {},
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Michelle E Ross",
        "family": {},
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "A",
        "family": "Russell Localio",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Alexander G Fiks",
        "family": {},
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Richard C Wasserman",
        "family": {},
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Robert W Grundmeier",
        "family": {},
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Journal of the American Medical Informatics Association",
    "year": "2017",
    "doi": "10.1093/jamia/ocx037",
    "volume": "24",
    "number": "6",
    "pages": "1080-1087",
    "year.1": "2017",
    "month": "04",
    "url": "https://doi.org/10.1093/bioinformatics/btz617",
    "issn": "1067-5027"
  }
]