Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To validate the accuracy of data in electronic medical record,  compared cancer diagnosis and key words in pathologic reports of cancer patients in a tertiary hospital, using text mining method.  investigated in fourteen kinds of cancers that had highest incidence rates in Korea. Approximately two-third (71.0%) of total patients had right match in cancer diagnosis with pathologic report. The ratio of concurrence was the highest (86.3%) in thyroid cancer patients, hover, the ratio was the lost (49.9%) in liver cancer patients. To prevent the errors in data input, a systematic alarm and feedback to clinicians should be required.
['Yura Lee', 'Soo-Yong Shin', 'Sung-Min Ahn', 'Jae Ho Lee', 'Woo-Sung Kim']
I am writing a research paper on a idea Validation for Accuracy of Cancer Diagnosis in Electronic Medical Records Using a Text Mining Method.
[{"from": "human", "value": "I am writing a research paper on a idea Validation for Accuracy of Cancer Diagnosis in Electronic Medical Records Using a Text Mining Method."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To validate the accuracy of data in electronic medical record,  compared cancer diagnosis and key words in pathologic reports of cancer patients in a tertiary hospital, using text mining method.  investigated in fourteen kinds of cancers that had highest incidence rates in Korea. Approximately two-third (71.0%) of total patients had right match in cancer diagnosis with pathologic report. The ratio of concurrence was the highest (86.3%) in thyroid cancer patients, hover, the ratio was the lost (49.9%) in liver cancer patients. To prevent the errors in data input, a systematic alarm and feedback to clinicians should be required."}]