Difference between revisions of "Determining Uncertainty in Clinical Report Writing"
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| − | It is important in clinical report writing to be clear in delivering diagnoses for both the patient and the doctors delivering care. When words that negate these conclusions are used in reports, it can lead to confusion and potentially lead to someone not recieving proper care. | + | It is important in clinical report writing to be clear in delivering diagnoses for both the patient and the doctors delivering care. When words that negate these conclusions are used in reports, it can lead to confusion and potentially lead to someone not recieving proper care. The goal of this project is to find the best way of quantifying uncertainty in clinical reports using natural language processing and machine learning to determine the quality of the report. |
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| − | The goal of this project is to find the best way of quantifying uncertainty in clinical reports using natural language processing and machine learning to determine the quality of the report. | + | |
Revision as of 21:22, 31 May 2023
Project Background
It is important in clinical report writing to be clear in delivering diagnoses for both the patient and the doctors delivering care. When words that negate these conclusions are used in reports, it can lead to confusion and potentially lead to someone not recieving proper care. The goal of this project is to find the best way of quantifying uncertainty in clinical reports using natural language processing and machine learning to determine the quality of the report.
