Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes an approach to assertion classification and an empirical study on the impact this task has on phenotype identification, a real world application in the clinical domain. The task of assertion classification is to assign to each medical concept mentioned in a clinical report (e.g., pneumonia, chest pain) a specific assertion category (e.g., present, absent, and possible). To improve the classification of medical assertions,  propose several new features that capture the semantic properties of special cue words highly indicative of a specific assertion category. The results obtained outperform the current state-of-the-art results for this task. Furthermore,  confirm the intuition that assertion classification contributes in significantly improving the results of phenotype identification from free-text clinical records.
['Cosmin Adrian Bejan', 'Lucy Vanderwende', 'Fei Xia', 'Meliha Yetisgen-Yildiz']
I am writing a research paper on a idea Assertion modeling and its role in clinical phenotype identification
[{"from": "human", "value": "I am writing a research paper on a idea Assertion modeling and its role in clinical phenotype identification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes an approach to assertion classification and an empirical study on the impact this task has on phenotype identification, a real world application in the clinical domain. The task of assertion classification is to assign to each medical concept mentioned in a clinical report (e.g., pneumonia, chest pain) a specific assertion category (e.g., present, absent, and possible). To improve the classification of medical assertions,  propose several new features that capture the semantic properties of special cue words highly indicative of a specific assertion category. The results obtained outperform the current state-of-the-art results for this task. Furthermore,  confirm the intuition that assertion classification contributes in significantly improving the results of phenotype identification from free-text clinical records."}]