Title: Calculation of Hemodynamic Indexes from Clinical Monitoring
person("Markus Harboe", "Olsen", email = "oel@oelfam.com", role = c("cre","aut")),
person("Christian", "Riberholt", role = "aut"))
Every research team have their own script for calculation of hemodynamic indexes.
This package makes it possible  to insert a long-format dataframe, and add both
periods of interest (trigger-periods), and delete artifacts with deleter-files.
The calculation methods are based on Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>.
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

Title: Hemodynamic Indexes Calculated from Clinical Monitoring

Title: Hemodynamic Calculations from Clinical Monitoring
person("Christian", "Riberholt", role = "aut"),
person("Kirsten", "Moeller", role = "aut"))

Description: Functions for calculating clinical significance.

Packaged: Tue Jan 20 09:42:06 2009; root

Title: Clinical Natural Language Processing using 'spaCy', 'scispaCy',
email = "kdpsingh@umich.edu", role = c("aut", "cre")),
person("Benjamin", "Kompa", role = c("aut")),
person("Andrew", "Beam", role = c("aut")),
person("Allen", "Schmaltz", role = c("aut")))
Description: Performs biomedical named entity recognition,
Unified Medical Language System (UMLS) concept mapping, and negation
detection using the Python 'spaCy', 'scispaCy', and 'medspaCy' packages, and
transforms extracted data into a wide format for inclusion in machine
learning models. The development of the 'scispaCy' package is described by
Neumann (2019) <doi:10.18653/v1/W19-5034>. The 'medspacy' package uses
'ConText', an algorithm for determining the context of clinical statements
described by Harkema (2009) <doi:10.1016/j.jbi.2009.05.002>. Clinspacy
also supports entity embeddings from 'scispaCy' and UMLS 'cui2vec' concept
embeddings developed by Beam (2018) <arXiv:1804.01486>.
Imports: reticulate (>= 1.16), data.table, assertthat, rappdirs, utils,

Functions for calculation of hemodynamic indexes including transfer
function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and
helper functions for clinical researchers.