Title | ||
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PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction |
Abstract | ||
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Similarity-based retrieval of Electronic Health Records (EHRs) from large clinical information systems provides physicians the evidence support in making diagnoses or referring examinations for the suspected cases. Clinical Terms in EHRs represent high-level conceptual information and the similarity measure established based on these terms reflects the chance of inter-patient disease co-occurrence. The assumption that clinical terms are equally relevant to a disease is unrealistic, reducing the prediction accuracy. Here we propose a term weighting approach supported by PubMed search engine to address this issue. |
Year | DOI | Venue |
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2015 | 10.1186/s12911-015-0166-2 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Feature Vector, Conditional Probability, Similarity Score, Receiver Operating Characteristic, Electronic Health Record | Data mining,Feature vector,Weighting,Receiver operating characteristic,Similarity measure,Conditional probability,Computer science,Health informatics,Statistics,Direction cosine,Medical diagnosis | Journal |
Volume | Issue | ISSN |
15 | 1 | 1472-6947 |
Citations | PageRank | References |
2 | 0.39 | 11 |
Authors | ||
12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lawrence Wing-Chi Chan | 1 | 8 | 1.85 |
Ying Liu | 2 | 1417 | 91.19 |
Tao Chan | 3 | 3 | 0.78 |
Helen K. W. Law | 4 | 2 | 0.73 |
S. C. Wong | 5 | 2 | 0.39 |
Andy Yeung | 6 | 2 | 0.39 |
K. F. Lo | 7 | 2 | 0.39 |
S. W. Yeung | 8 | 2 | 0.39 |
Kwok-Yung Yuen | 9 | 30 | 1.61 |
William Chan | 10 | 357 | 24.67 |
Thomas Lau | 11 | 2 | 0.39 |
Chi-Ren Shyu | 12 | 656 | 67.58 |