filterApprovedDrugs

Filter a given list of drug names for having an ATC code, if not they are dropped

Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the BioASQ corpus. The ranked result lists of neurological drug terms co-occurring with terms from the epilepsy ontologies EpSO, ESSO, EPILONT, EPISEM and FENICS undergo further analysis. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558>, Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>, Mueller, Bernd and Rebholz-Schuhmann, Dietrich (2020) <doi:10.1007/978-3-030-43887-6_52>, and Mueller, Bernd et al. (2022) <doi:10.1186/s13326-021-00258-w>.

Bernd Mueller

epos

Epilepsy Ontologies' Similarities

filterApprovedDrugs function

<dl><dt>druglist</dt>
<dd>a list of drug names</dd>
<dt>atchashda</dt>
<dd>a hash containing the drug names as keys</dd></dl>

Arguments

Filter a given list of drug names for having an ATC code, if not they are dropped — filterApprovedDrugs

<dl>

<dt>druglist</dt>
<dd>a list of drug names</dd>


<dt>atchashda</dt>
<dd>a hash containing the drug names as keys</dd>

</dl>

filterApprovedDrugs: Filter a given list of drug names for having an ATC code, if not they are dropped

Description

Usage

Value

Arguments

Examples