sepsis_dataset_test

(logical) - If FALSE, "Biomarker assessment" is one activity ignoring biomarker values.
If TRUE, based on the biomarker values, several distinct "Biomarker assessment" activities are inferred.

induce_biomarker_decision_tree

threshold

(logical) - Switch for debug printout.

debug

(HybridSequenceClassifier) - An existing Sequence Detector that should be used instead of creating a new one.

<a rd-options="eventdataR" href="/link/sepsis?package=SeqDetect&version=1.0.7&to=eventdataR" data-mini-rdoc="eventdataR::sepsis">sepsis</a> dataset is taken from the package eventdataR and used to test the Sequence Detector. The results are
available in [1].

Sequence detector in this package contains a specific automaton model that can be used to learn and detect data and process sequences.
Automaton model in this package is capable of learning and tracing sequences. Automaton model can be found in Krle<c5><be>a, Vrdoljak, Br<c4><8d>i<c4><87> (2019) <doi:10.1109/ACCESS.2019.2955245>.
This research has been partly supported under Competitiveness and Cohesion Operational Programme from the European Regional and Development Fund, as part of the Integrated Anti-Fraud System project no. KK.01.2.1.01.0041. This research has also been partly supported by the European Regional Development Fund under the grant KK.01.1.1.01.0009.

Dalibor Krlec5<be>a

SeqDetect

Sequence and Latent Process Detector

sepsis_dataset_test function

<a rd-options='eventdataR' href='sepsis'>sepsis</a> dataset is taken from the package eventdataR and used to test the Sequence Detector. The results are
available in [1].

sepsis_dataset_test: Sepsis dataset test

Description

Usage

Arguments

Value

References