Machine learning for personalized treatment decision-making
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Wharrie, Sophie | |
dc.contributor.author | Ngo, Linh | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Käpylä, Maarit | |
dc.date.accessioned | 2022-10-25T08:10:50Z | |
dc.date.available | 2022-10-25T08:10:50Z | |
dc.date.issued | 2022-09-09 | |
dc.format.extent | 36 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/117432 | |
dc.identifier.urn | URN:NBN:fi:aalto-202210256217 | |
dc.language.iso | en | en |
dc.programme | Aalto Bachelor’s Programme in Science and Technology | fi |
dc.programme.major | Data Science | en |
dc.programme.mcode | SCI3095 | fi |
dc.subject.keyword | machine learning | en |
dc.subject.keyword | personalized treatment decision-making | en |
dc.subject.keyword | causal inference | en |
dc.subject.keyword | reinforcement learning | en |
dc.subject.keyword | dynamic treatment regimes | en |
dc.subject.keyword | individualized treatment effects | en |
dc.title | Machine learning for personalized treatment decision-making | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |