Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Laypeople (e.g., patients and their caregivers) usually use queries which de- scribe a sign, symptom or condition to obtain relevant medical information on the b. They can fail to find useful information for diagnosing or understanding their health conditions because the search results delivered by existing medical search engines do not fit the information needs of users. To deliver useful medical information,  at- tempted to combine multiple ranking methods, explicit semantic analysis (ESA), a clus- ter-based external expansion model (CBEEM), and concept-based document centrality (CBDC), using external medical resources to improve retrieval performance. As a first step, initial documents are searched using a baseline method. Based on the initial docu- ments, ranking methods are selectively applied. Our experiments with combinations of ranking methods aim to find the best means of computing accurate similarity scores using different external medical resources. The best performance was obtained when the CBEEM and the CBDC re used together.
['Heung-Seon Oh', 'Yuchul Jung', 'Kwang-Young Kim']
I am writing a research paper on a idea KISTI at CLEF eHealth 2015 Task 2
[{"from": "human", "value": "I am writing a research paper on a idea KISTI at CLEF eHealth 2015 Task 2"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Laypeople (e.g., patients and their caregivers) usually use queries which de- scribe a sign, symptom or condition to obtain relevant medical information on the b. They can fail to find useful information for diagnosing or understanding their health conditions because the search results delivered by existing medical search engines do not fit the information needs of users. To deliver useful medical information,  at- tempted to combine multiple ranking methods, explicit semantic analysis (ESA), a clus- ter-based external expansion model (CBEEM), and concept-based document centrality (CBDC), using external medical resources to improve retrieval performance. As a first step, initial documents are searched using a baseline method. Based on the initial docu- ments, ranking methods are selectively applied. Our experiments with combinations of ranking methods aim to find the best means of computing accurate similarity scores using different external medical resources. The best performance was obtained when the CBEEM and the CBDC re used together."}]