Building A Hospital Phenotypic Disease Network Database
碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 103 === In recent years, using network theory to study human disease has been one of the major foci of the biomedical industry, including Gene Networks, Protein-Protein Interactions Network, Drug-Target Network and Metabolic Disease Network. These constructed Netw...
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| Format: | Others |
| Language: | zh-TW |
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2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4u54w5 |
| Summary: | 碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 103 === In recent years, using network theory to study human disease has been one of the major foci of the biomedical industry, including Gene Networks, Protein-Protein Interactions Network, Drug-Target Network and Metabolic Disease Network. These constructed Networks have helped us to understand the association between various cluster of diseases. The hospital electronic medical record, patient ICD9 codings, can be mined and analysis thus allowing us to constructed a Hospital Phenotypic Disease Network Database. Disease relationships can be queried in terms of gender and age. Disease comorbidities increases with age and also revealed a sexual dimorphic pattern in disease multi-morbidities. The Clinical Decision Support System can be build according by Hospital Phenotypic Disease Network Database can function as a clinical decision supporting system useful in enhancing the accuracy of diagnosis of comorbidities and thus providing timely appropriate treatment, and can improve the quality of healthcare.
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