Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Metastasis via pelvic and/or para-aortic lymph nodes is a major risk factor for endometrial cancer. Lymph-node resection ameliorates risk but is associated with significant co-morbidities. Incidence in patients with stage I disease is 4-22% but no mechanism exists to accurately predict it. Therefore, national guidelines for primary staging surgery include pelvic and para-aortic lymph node dissection for all patients whose tumor exceeds 2cm in diameter.  sought to identify a robust molecular signature that can accurately classify risk of lymph node metastasis in endometrial cancer patients.  introduce a new feature selection algorithm, lone star, for applications where the number of samples is far smaller than the number of measured features per sample.  applied lone star to develop a predictive miRNA expression signature on a training. When applied on an independent testing cohort, the classifier correctly predicted 90% of node-positive cases, and 80% of node-negative cases (FDR= 6.25%). Our results indicate that the evaluation of the quantitative sparse-feature classifier proposed here in clinical trials may lead to significant improvement in the prediction of lymphatic metastases in endometrial cancer patients.
['Mehmet Eren Ahsen', 'Todd Boren', 'Nitin K. Singh', 'Burook Misganaw', 'Jayanthi S. Lea', 'David S. Miller', 'Michael A. White', 'M. Vidyasagar']
I am writing a research paper on a idea Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract
[{"from": "human", "value": "I am writing a research paper on a idea Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Metastasis via pelvic and/or para-aortic lymph nodes is a major risk factor for endometrial cancer. Lymph-node resection ameliorates risk but is associated with significant co-morbidities. Incidence in patients with stage I disease is 4-22% but no mechanism exists to accurately predict it. Therefore, national guidelines for primary staging surgery include pelvic and para-aortic lymph node dissection for all patients whose tumor exceeds 2cm in diameter.  sought to identify a robust molecular signature that can accurately classify risk of lymph node metastasis in endometrial cancer patients.  introduce a new feature selection algorithm, lone star, for applications where the number of samples is far smaller than the number of measured features per sample.  applied lone star to develop a predictive miRNA expression signature on a training. When applied on an independent testing cohort, the classifier correctly predicted 90% of node-positive cases, and 80% of node-negative cases (FDR= 6.25%). Our results indicate that the evaluation of the quantitative sparse-feature classifier proposed here in clinical trials may lead to significant improvement in the prediction of lymphatic metastases in endometrial cancer patients."}]