Scientists from University College London have developed computer algorithms that can predict the risk of developing lung cancer. The system uses data such as age, total smoking history and number of cigarettes per day. In this respect reports Health News.
The most common type of cancer worldwide and with a high mortality rate is lung cancer. The majority of disease cases (85%) are associated with long-term tobacco smoking. The effect of cigarette smoke reduces the immunity of the respiratory system and allows cancer cells to proliferate.
However, with early diagnosis and treatment, the mortality rate of the disease can be reduced by half. Machine algorithms developed by scientists calculate the risk of lung cancer based on three indicators: age, smoking history and number of cigarettes per day. This data is entered into a computer that calculates the probability of both disease and death.
Approximately 244 thousand smokers participated in the research. Scientists collected information on the three necessary points, and also took into account data on the subjects’ health status, fluorography results and other tests.
It turned out that the system could predict the probability of developing lung cancer with 83.9 percent accuracy and the risk of dying from this disease with 85.5 percent accuracy.
Researchers noted that the new method could be a step towards the widespread use of individual screening systems for early diagnosis of diseases. This will help reduce the death rate from lung cancer.
Previously Appearedincreased estrogen appeared to be a risk factor for lung cancer in smokers.
Source: Gazeta
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