Results of machine learning classification - DigiMed1-study

Lange, Sandra

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Results of machine learning classification - DigiMed1-study

Author(s) / Creator(s)

Lange, Sandra

Abstract / Description

This document contains the confusion matrices of machine learning classification conducted in the context of the DigiMed1 study. In the qualitative part of the study, a coding scheme was first developed based on human ratings of open-ended responses. This coding scheme was then validated using automated classification methods (Naive Bayes, Logistic Regression, and Random Forest). The confusion matrices presented here provide an overview of the classification performance.

Keyword(s)

informed decision-making patient education machine learning classification qualitative research

Persistent Identifier

https://doi.org/10.23668/psycharchives.21252

Date of first publication

2025-09-22

Publisher

PsychArchives

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B5 - Konfusionsmatrizen.pdf

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Questionnaire on psychological processes in informed decision-making – DigiMed1 study

Lange, Sandra, 2025-07-15, PsychArchives

This questionnaire was used in the DigiMed1 study to investigate psychological factors influencing informed decision-making in the context of patient education for contrast-enhanced computed tomography (CT). The survey includes an experimental vignette, standardized scales to assess cognitive, emotional, and motivational responses (e.g., perceived comprehensibility, cognitive load, risk perception, emotions, stress), and items capturing informed choice (knowledge, attitude, decision). Additional sections cover demographic information and individual medical risk factors. The instrument was administered online to a German-speaking adult sample.
Research Data
Dataset and documentation for DigiMed1-study

Lange, Sandra, 2025-09-22, PsychArchives

This collection contains the complete raw data and accompanying documentation for study DigiMed1 on informed deicision-making in medical context. The dataset was collected via SoSciSurvey and includes anonymized responses of all participants. The collection also provides detailed documentation: a variable overview (with item wording and scale assignment) and a coding scheme (with response options, and value labels).

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Author(s) / Creator(s)

Lange, Sandra
PsychArchives acquisition timestamp

2025-09-22T09:53:36Z
Made available on

2025-09-22T09:53:36Z
Date of first publication

2025-09-22
Abstract / Description

This document contains the confusion matrices of machine learning classification conducted in the context of the DigiMed1 study. In the qualitative part of the study, a coding scheme was first developed based on human ratings of open-ended responses. This coding scheme was then validated using automated classification methods (Naive Bayes, Logistic Regression, and Random Forest). The confusion matrices presented here provide an overview of the classification performance.

en
Publication status

unknown
Review status

unknown
Persistent Identifier

https://hdl.handle.net/20.500.12034/16647
Persistent Identifier

https://doi.org/10.23668/psycharchives.21252
Language of content

deu
Publisher

PsychArchives
Is related to

https://doi.org/10.23668/psycharchives.16854
Is related to

https://doi.org/10.23668/psycharchives.21244
Keyword(s)

informed decision-making
Keyword(s)

patient education
Keyword(s)

machine learning classification
Keyword(s)

qualitative research
Dewey Decimal Classification number(s)

150
Title

Results of machine learning classification - DigiMed1-study

en
DRO type

other