.zenodo.json

{
    "creators": [
        {
            "affiliation": "Aarhus University Hospital",
            "name": "Bernstorff, Martin",
            "orcid": "0000-0002-0234-5390"
        },
        {
            "affiliation": "Aarhus University",
            "name": "Enevoldsen, Kenneth",
            "orcid": "0000-0001-8733-0966"
        },
        {
            "affiliation": "Aarhus University Hospital",
            "name": "Damgaard, Jakob",
            "orcid": "0000-0001-7092-2391"
        },
        {
            "affiliation": "Aarhus University Hospital",
            "name": "Danielsen, Andreas",
            "orcid": "0000-0002-6585-3616"
        },
        {
            "affiliation": "Aarhus University Hospital",
            "name": "Hansen, Lasse",
            "orcid": "0000-0003-1113-4779"
        }
    ],
    "description": "A package for converting irregularly spaced time series, such as eletronic health records, into statically shaped dataframes.",
    "keywords": [
        "Python",
        "time series",
        "electronic health records",
        "medical time series",
        "feature extraction"
    ],
    "license": {
        "id": "MIT"
    },
    "title": "timeseriesflattener: A Python package for summarising features from (medical) time series"
}