Creation of machine learning algorithms (MLA) that can distinguish patients with acute cholangitis from others with alcoholic hepatitis That was the main aim of a study published earlier this month in the scientific journal. Mayo Clinic Proceedings. The study combined data analysis techniques with simple laboratory procedures.

medical emergency If not treated in time, it can lead to death.Acute cholangitis is a bacterial infection of the biliary tract, which in most cases is caused by obstruction of the ducts responsible for transporting bile to the gallbladder by stones. The most common symptoms of the disease are: fever, jaundice, pain in the right upper quadrant, and elevated liver enzymes.

Although highly specific, these symptoms are very similar to a clinical syndrome – alcoholic hepatitis – that can lead to severe pancreatitis, although, as in cholangitis, patients with the disease do not need to undergo endoscopic retrograde cholangiopancreatography (biliary drainage).

What are the algorithms that distinguish cholangitis from hepatitis?

The researchers analyzed it to develop MLAs that could support diagnoses between the two liver diseases. Electronic health data of 459 patients over the age of 18Between January 1, 2010 and December 31, 2019, he was admitted to the Mayo Clinic, Rochester, United States and was diagnosed with acute cholangitis or alcoholic hepatitis.

According to Joseph Ahn, a gastroenterologist at the Mayo Clinic, first author of the study, “Machine learning algorithms [desenvolvidos e treinados pela equipe] showed excellent performances in distinguishing the two conditions, with over 93% accuracy

The idea is that these MLAs are easily accessible. an online calculator or smartphone app. The outcome of the surgery will be extremely useful for guiding healthcare teams in the treatment of critically ill patients with altered liver enzymes.

ARTICLE Mayo Clinic Proceedings – DOI: 10.1016/j.mayocp.2022.01.028.

Source: Tec Mundo

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I am Bret Jackson, a professional journalist and author for Gadget Onus, where I specialize in writing about the gaming industry. With over 6 years of experience in my field, I have built up an extensive portfolio that ranges from reviews to interviews with top figures within the industry. My work has been featured on various news sites, providing readers with insightful analysis regarding the current state of gaming culture.


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