Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prostate cancer is a complex disease which advances in stages. While clinical failure (including metastasis) is a significant endpoint following a radical prostatectomy, it can often take years to manifest, usually too late to be optimistically treated. Instead the earlier endpoint of PSA Recurrence is frequently used as a surrogate in prognostic modeling. The central issue in these models is managing censored observations which challenge traditional regression techniques. The true target times of a majority of instances are unknown, what is known is a censored target representing some earlier indeterminate time. In this work  apply a novel transduction approach for semi-supervised survival analysis which has previously been shown to be porful in medical prognosis. The approach considers censored samples as semi-supervised regression targets leveraging the partial nature of unsupervised information. In this work, the approach leads to a significant increase in performance for predicting advanced prostate cancer from earlier endpoints and may also be useful in other diseases for predicting advanced endpoints from earlier stages.
['Faisal M. Khan', 'Casimir A. Kulikowski']
I am writing a research paper on a idea Predicting Advanced Prostate Cancer Endpoints from Early Indications via Transductive Semi-Supervised Regression
[{"from": "human", "value": "I am writing a research paper on a idea Predicting Advanced Prostate Cancer Endpoints from Early Indications via Transductive Semi-Supervised Regression"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prostate cancer is a complex disease which advances in stages. While clinical failure (including metastasis) is a significant endpoint following a radical prostatectomy, it can often take years to manifest, usually too late to be optimistically treated. Instead the earlier endpoint of PSA Recurrence is frequently used as a surrogate in prognostic modeling. The central issue in these models is managing censored observations which challenge traditional regression techniques. The true target times of a majority of instances are unknown, what is known is a censored target representing some earlier indeterminate time. In this work  apply a novel transduction approach for semi-supervised survival analysis which has previously been shown to be porful in medical prognosis. The approach considers censored samples as semi-supervised regression targets leveraging the partial nature of unsupervised information. In this work, the approach leads to a significant increase in performance for predicting advanced prostate cancer from earlier endpoints and may also be useful in other diseases for predicting advanced endpoints from earlier stages."}]