hkr.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Calculating Medication Dosage for Children with Machine Learning Techniques
Kristianstad University, Faculty of Natural Sciences.
Kristianstad University, Faculty of Natural Sciences, Avdelningen för datavetenskap.
2021 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis fouces on Machine Learning predition techniques when calculating pedicatric drug dosing. The selected study drug used in this thesis is Cefaclor, an antibiotic prescribed to both children and adults.It compares the results of traditional dosing and ML prediction dosing. Then do anlysis of the result and get conclusion of ML performance.

Place, publisher, year, edition, pages
2021. , p. 59
Keywords [en]
Machine learning, pediatric, algorithms, drug dosing, calculations
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-22132OAI: oai:DiVA.org:hkr-22132DiVA, id: diva2:1576241
External cooperation
China,JiangSu province,The Affiliated Hospital of Yangzhou University Medical Academy
Educational program
Bachelor programme in Computer Software Development
Presentation
(English)
Supervisors
Examiners
Available from: 2021-07-01 Created: 2021-06-30 Last updated: 2021-07-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Faculty of Natural SciencesAvdelningen för datavetenskap
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 268 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf