{"componentChunkName":"component---src-templates-people-template-js","path":"/people/misba","result":{"data":{"site":{"siteMetadata":{"title":"#COCONUT - Computer Club"}},"markdownRemark":{"html":"<p>Nurmisba Usman is an informatics graduate of Universitas Muhammadiyah Makassar. Her research applies artificial intelligence to healthcare, including optimizing k-means clustering with the elbow method to predict hospital blood requirements, grid search hyperparameter tuning of decision trees for diabetes prediction, Swin Transformer enhanced with out-of-distribution detection for robust ischemic stroke diagnosis from CT images, the Edmonton Symptom Assessment System (ESAS) in patients with diabetic foot ulcers, and knowledge-validated conversational systems with a hybrid BERT-RAG model.</p>\n<h2>More information</h2>\n<p>You can find more information on her <a href=\"https://www.linkedin.com/in/nurmisba-usman-34429724b/\">LinkedIn</a> and her <a href=\"https://scholar.google.com/citations?user=p9E9APAAAAAJ&#x26;hl=id\">Google Scholar</a>.</p>","frontmatter":{"date":"January 01, 2026","path":"/people/misba","title":"Nurmisba Usman","thumbnail":"/assets/people/misba.jpg","metaDescription":"AI Researcher"}}},"pageContext":{}},"staticQueryHashes":["3159585216","440143384"]}