Davcheva, Elena (2021)
Applications of Machine Learning in Mental Healthcare.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017879
Ph.D. Thesis, Primary publication, Publisher's Version
Abstract
This thesis summarizes three studies in the area of machine learning applications within mental heathcare, specifically in the area of treatments and diagnostics. Mental healthcare today is challenging to provide worldwide because of a stark rise in demand for services. Traditional healthcare structures cannot keep up with the demand and information systems have the potential to fill in this gap. The thesis explores online mental health forums as a digital mental health platform and the possibility to automate treatments and diagnostics based on user-shared information.
| Item Type: | Ph.D. Thesis | ||||
|---|---|---|---|---|---|
| Erschienen: | 2021 | ||||
| Creators: | Davcheva, Elena | ||||
| Type of entry: | Primary publication | ||||
| Title: | Applications of Machine Learning in Mental Healthcare | ||||
| Language: | English | ||||
| Referees: | Benlian, Prof. Dr. Alexander ; Buxmann, Prof. Dr. Peter | ||||
| Date: | 2021 | ||||
| Place of Publication: | Darmstadt | ||||
| Collation: | XIII, 102 Seiten | ||||
| Refereed: | 22 February 2021 | ||||
| DOI: | 10.26083/tuprints-00017879 | ||||
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17879 | ||||
| Abstract: | This thesis summarizes three studies in the area of machine learning applications within mental heathcare, specifically in the area of treatments and diagnostics. Mental healthcare today is challenging to provide worldwide because of a stark rise in demand for services. Traditional healthcare structures cannot keep up with the demand and information systems have the potential to fill in this gap. The thesis explores online mental health forums as a digital mental health platform and the possibility to automate treatments and diagnostics based on user-shared information. |
||||
| Alternative Abstract: |
|
||||
| Status: | Publisher's Version | ||||
| URN: | urn:nbn:de:tuda-tuprints-178792 | ||||
| Classification DDC: | 000 Generalities, computers, information > 000 Generalities 000 Generalities, computers, information > 004 Computer science |
||||
| Divisions: | 01 Department of Law and Economics 01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete 01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete > Fachgebiet Information Systems & E-Services |
||||
| Date Deposited: | 13 Apr 2021 08:35 | ||||
| Last Modified: | 19 Apr 2021 05:15 | ||||
| PPN: | |||||
| Referees: | Benlian, Prof. Dr. Alexander ; Buxmann, Prof. Dr. Peter | ||||
| Refereed / Verteidigung / mdl. Prüfung: | 22 February 2021 | ||||
| Export: | |||||
| Suche nach Titel in: | TUfind oder in Google | ||||
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum