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KMID : 1132720210190030028
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Genomics & Informatics
2021 Volume.19 No. 3 p.28 ~ p.28
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Visualizing the phenotype diversity: a case study of Alexander disease
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Dohi Eisuke
Bangash Ali Haider
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Abstract
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Since only a small number of patients have a rare disease, it is difficult to identify all of the features of these diseases. This is especially true for patients uncommonly presenting with rare diseases. It can also be difficult for the patient, their families, and even clinicians to know which one of a number of disease phenotypes the patient is exhibiting. To address this issue, during Biomedical Linked Annotation Hackathon 7 (BLAH7), we tried to extract Alexander disease patient data in Portable Document Format. We then visualized the phenotypic diversity of those Alexander disease patients with uncommon presentations. This led to us identifying several issues that we need to overcome in our future work.
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KEYWORD
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annotation, biomedical text mining, case reports, phenotype, rare diseases, symptoms
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