Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment : can computational intelligence be used to augment clinical assessments?
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
|---|---|
| Enthalten in: |
Pharmacogenomics - 20(2019), 14 vom: 15. Sept., Seite 983-988 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Athreya, Arjun P [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 23.06.2020 Date Revised 23.06.2020 published: Print Citation Status MEDLINE |
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| doi: |
10.2217/pgs-2019-0119 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM301676151 |
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| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a clinical response | |
| 650 | 4 | |a depression | |
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| 700 | 1 | |a Wang, Liewei |e verfasserin |4 aut | |
| 700 | 1 | |a Weinshilboum, Richard M |e verfasserin |4 aut | |
| 700 | 1 | |a Bobo, William V |e verfasserin |4 aut | |
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