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Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'

Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'
Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'
Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'. The data includes: -Merged app reviews.xlsx -App reviews for apps included in Chapter 2 study, reviews downloaded from Apple Appstore and Google Playstore. -Mediemodata.xlsx -MediEmoData_emotional.xlsx -scan_streamlining_paper_cohort_anon.csv - available on request only to bone fide researchers with ethical clearance -CFC_prediction_model_V2.ipynb- Requires PYTHON, python is a free, open-source programming language.
University of Southampton
Robertson, Isla
4c3fcd3b-12e1-4bd2-af39-59c09e1327c7
Robertson, Isla
4c3fcd3b-12e1-4bd2-af39-59c09e1327c7

Robertson, Isla (2024) Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'. University of Southampton doi:10.5258/SOTON/D2797 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis 'Digital health technologies in improving efficiency in reproductive medicine'. The data includes: -Merged app reviews.xlsx -App reviews for apps included in Chapter 2 study, reviews downloaded from Apple Appstore and Google Playstore. -Mediemodata.xlsx -MediEmoData_emotional.xlsx -scan_streamlining_paper_cohort_anon.csv - available on request only to bone fide researchers with ethical clearance -CFC_prediction_model_V2.ipynb- Requires PYTHON, python is a free, open-source programming language.

Text
thesis_readme.txt - Dataset
Available under License Creative Commons Attribution.
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Archive
Thesis_Data_Sets_1_.zip - Dataset
Available under License Creative Commons Attribution.
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Text
Request_Form_Access_Ethics_D2797.docx - Dataset
Available under License Creative Commons Attribution.
Download (92kB)

More information

Published date: 2024

Identifiers

Local EPrints ID: 486671
URI: http://eprints.soton.ac.uk/id/eprint/486671
PURE UUID: 580dd911-a8db-4d60-ae42-5a3a19d8e2c0

Catalogue record

Date deposited: 31 Jan 2024 18:21
Last modified: 31 Jan 2024 18:21

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Contributors

Creator: Isla Robertson

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