A method of evaluating lung cancer risk by generating a set of features comprising a plurality of current blood test results from a blood collected from a target individual, providing at least one classifier generated according to an analysis of a plurality of respective historical blood test results of each of another of a plurality of sampled individuals, and evaluating, using a processor, a lung cancer risk of said target individual by classifying said set of features using said at least one classifier. Each of said plurality of historical and current blood test results comprises results of one or more selected blood tests such as white blood cells blood test results, biochemistry test results, platelets blood test results including at least one of platelets count and mean platelet volume (MPV) and/or a combination of smoking history and red cell test results.
