Thesis
Machine learning for childhood pneumonia diagnosis
- Abstract:
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Pneumonia is the number one killer of children under the age of 5, causing more deaths than malaria, tuberculosis and HIV/AIDS combined. In 2015, over 920,000 children died of pneumonia and more than 95% of the incidence and 99% of subsequent mortality occurred in developing countries. Current gold standard diagnostic assessment of childhood pneumonia relies on the use of advanced tools (such as X-rays and blood culture) by a clinical expert who assesses and interprets a combination of cli...
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Funding
Engineering & Physical Sciences Research Council
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Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- UUID:
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uuid:1fb64eee-10aa-43cf-84c0-e46dd49202a9
- Deposit date:
- 2019-05-01
Terms of use
- Copyright holder:
- Naydenova, E
- Copyright date:
- 2018
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