Better Statistical Analysis May Be Key to Earlier Mesothelioma Diagnosis

Artificial intelligence is the use of computers that take all of the accumulated information that has been programmed into them in order to allow faster deduction and calculation than can be done manually. It is also known as machine learning, and there are a variety of forms and programs available to quickly analyze immense amounts of data. The researchers input a variety of health record information into several of these programs from a group of over 300 Turkish patients with known exposure to asbestos and who were showing a wide array of symptoms suggestive of malignant mesothelioma. They were able to identify one of the programs as most effective at early and accurate diagnosis.

According to lead researcher Davide Chicco, “Our results show that machine learning can predict diagnoses of patients having mesothelioma symptoms with high accuracy, sensitivity, and specificity in a few minutes.” Though the turnaround of information from the program known as Random Forest was remarkably fast and accurate, it also pointed to specific diagnostic factors that seemed most important to spotting the disease early. Those factors were lung side and platelet count, and based upon the results delivered by the program, the researchers believe that diagnosticians who do not have access to artificial intelligence can still use those elements in making an accurate diagnosis.

The more scientists learn about the way that mesothelioma manifests and how to diagnose it quickly, the closer we get to finding an effective treatment for this rare and fatal asbestos-related disease. If you or someone you love needs information about treatment options or the other resources available to you, contact the Patient Advocates at Mesothelioma.net today to learn more. We can be reached at 1-800-692-8608.