Unsupervised learning to understand patterns of comorbidity in 633,330 patients diagnosed with osteoarthritis
With the advent of big data in healthcare, machine learning has rapidly gained popularity due to its potential to analyse large volumes of complex data from a variety of sources. Unsupervised learning can be used to mine data and discover patterns such as sub-groups within large patient populations....
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
SciTePress
2022
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