Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach
BackgroundThere is huge variability in the way that individuals with tinnitus respond to interventions. These experiential variations, together with a range of associated etiologies, contribute to tinnitus being a highly heterogeneous condition. Despite this heterogeneity, a "one size fits all&...
Saved in:
Main Authors: | Hansapani Rodrigo (Author), Eldré W Beukes (Author), Gerhard Andersson (Author), Vinaya Manchaiah (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-11-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Internet-Based Audiologist-Guided Cognitive Behavioral Therapy for Tinnitus: Randomized Controlled Trial
by: Eldré W Beukes, et al.
Published: (2022) -
Changes in Tinnitus Experiences During the COVID-19 Pandemic
by: Eldré W. Beukes, et al.
Published: (2020) -
Toward Personalized Tinnitus Treatment: An Exploratory Study Based on Internet Crowdsensing
by: Jorge Simoes, et al.
Published: (2019) -
Tinnitus in 2021. Time to consider evidence-based digital interventions
by: Gerhard Andersson
Published: (2022) -
IMPLEMENTATION OF DECISION TREE AND SUPPORT VECTOR MACHINE ON RAISIN SEED CLASSIFICATION
by: Wardhani Utami Dewi, et al.
Published: (2023)