2016
DOI: 10.1016/j.ygyno.2015.12.032
|View full text |Cite
|
Sign up to set email alerts
|

Personalised management of women with cervical abnormalities using a clinical decision support scoring system

Abstract: The DSSS based on an ANN of multilayer perceptron (MLP) type, can predict with the highest accuracy the histological diagnosis in women with abnormalities at cytology when compared with the use of tests alone. A user-friendly software based on this technology could be used to guide clinician decision making towards a more personalised care.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
23
0
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 35 publications
(25 citation statements)
references
References 26 publications
0
23
0
1
Order By: Relevance
“…Newer markers such as mRNA or p16/Ki67 immunostaining have more recently shown promising results claiming an equal sensitivity to that of the DNA test but improved specificity in this setting . Further combination of novel biomarkers and Clinical Decision Support Scoring Systems (DSSS) that will create user‐friendly tools have the potential to further improve the management of this population …”
Section: Discussionmentioning
confidence: 99%
“…Newer markers such as mRNA or p16/Ki67 immunostaining have more recently shown promising results claiming an equal sensitivity to that of the DNA test but improved specificity in this setting . Further combination of novel biomarkers and Clinical Decision Support Scoring Systems (DSSS) that will create user‐friendly tools have the potential to further improve the management of this population …”
Section: Discussionmentioning
confidence: 99%
“…Kyrgiou et al [75] tried to develop a clinical decision support scoring system (DSSS) based on artificial neural networks (ANN), which was first introduced by McCullogh and Pitts in 1943, for personalized management of women with cervical abnormalities. They collected data of liquid-based cytology, HPV-related biomarkers (E6&E7 mRNA and p16INK4a) and colposcopic findings from 2,267 women with or without cervical abnormalities.…”
Section: Applying Ai To Make Personalized Cancer Therapy Realmentioning
confidence: 99%
“…Computational algorithms and their implementation in machine learning logic would be a feasible approach. Such algorithms and artificial intelligences are already used in pathology and diagnostic processes [43][44][45]. In medical education, it would be especially valuable to add the process of analyses itself to the final results, including the intermediate calculations.…”
Section: Discussionmentioning
confidence: 99%