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Improving Pain Management in Patients with Sickle Cell Disease from Physiological Measures Using Machine Learning Techniques
Pain management is a crucial part in Sickle Cell Disease treatment. Accurate pain assessment is the first stage in pain management. However, pain is a subjective response and hard to assess via objective approaches. In this paper, we proposed a system to map objective physiological measures to subje...
Tallennettuna:
| Julkaisussa: | Smart Health (Amst) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6428053/ https://ncbi.nlm.nih.gov/pubmed/30906841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.smhl.2018.01.002 |
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