“We compared the predicted results with the death data of the UK National Statistics Agency's death record, the UK Cancer Registry, etc.†Then they compared the algorithm to two standard machine learning techniques. The results show that the accuracy of the new model is 10.1% higher than the existing technology. "We found that the machine learning algorithm predicts the accuracy of death much higher than the standard prediction model developed by human experts." Dr. Weng pointed out.
Professor Joe Kai, the study's author and director of primary care at the University of Nottingham School of Medicine and Health Sciences, added: "People have a strong interest in using artificial intelligence or machine learning techniques to predict health outcomes. In some cases, this technique may be helpful. Sometimes it is not. In this case, we have shown that through careful adjustment, these algorithms can effectively improve the prediction effect. These techniques may be very fresh and difficult for many researchers in the health field. We believe that As long as these methods are reported in a transparent and clear way, this medical field will be scientifically validated and further developed."
A previous study by the University of Nottingham suggested that there are four artificial intelligence algorithms that predict heart disease with much higher accuracy than the current techniques used in heart disease guidelines.
Scientists predict that artificial intelligence will play a key role in the development of customized healthcare. But they also added that further research is needed to confirm the effectiveness of machine learning in other populations and to better integrate artificial intelligence into everyday care. (leaf)
Source: Sina Technology
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