{
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  "Package": "banffIT",
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  "Title": "Automated Standardized Assignment of the Banff Classification",
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  "Maintainer": "Guillaume Fabre <guijoseph.fabre@gmail.com>",
  "Description": "Assigns standardized diagnoses using the Banff\nClassification (Category 1 to 6 diagnoses, including Acute and\nChronic active T-cell mediated rejection as well as Active,\nChronic active, and Chronic antibody mediated rejection). The\nmain function considers a minimal dataset containing biopsies\ninformation in a specific format (described by a data\ndictionary), verifies its content and format (based on the data\ndictionary), assigns diagnoses, and creates a summary report.\nThe package is developed on the reference guide to the Banff\nclassification of renal allograft pathology Roufosse C,\nSimmonds N, Clahsen-van Groningen M, et al. A (2018)\n<doi:10.1097/TP.0000000000002366>. The full description of the\nBanff classification is available at\n<https://banfffoundation.org/>.",
  "License": "GPL-3",
  "URL": "https://github.com/PersonalizedTransplantCare/banffIT",
  "BugReports": "https://github.com/PersonalizedTransplantCare/banffIT/issues",
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  "Date/Publication": "2025-07-05 12:40:06 UTC",
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    "banff_dataset_evaluate",
    "banff_launcher",
    "banffIT_website",
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    "get_banff_example",
    "get_banff_template",
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      "page": "add_diagnoses",
      "title": "Add diagnoses to the input dataset",
      "topics": [
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      ]
    },
    {
      "page": "banff_dataset_evaluate",
      "title": "Evaluates the format and content of the input dataset",
      "topics": [
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    {
      "page": "banff_launcher",
      "title": "Launch the program",
      "topics": [
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      ]
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    {
      "page": "banffIT_website",
      "title": "Call the online documentation",
      "topics": [
        "banffIT_website"
      ]
    },
    {
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      "title": "Calculate adequacy of each biopsy from glomeruli and arteries variables",
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      "topics": [
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    {
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      "title": "Objects exported from other packages",
      "topics": [
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    },
    {
      "page": "get_banff_dictionary",
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      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
    },
    {
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      "topics": [
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    },
    {
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