Symbolic Regression Model To Predict Choledocholithiasis
Symbolic Regression Model To Predict Choledocholithiasis
Choledocholithiasis refers to the presence of gallstones within the common bile duct. It is
 proposed to look for markers that help in the diagnosis and in differentiating between
 retained and migrated gallstones. The selection of patients is a very important aspect, due
 to the economic aspects and possible complications. Taking advantage of the development of
 technology, the improvement in computer systems, the use of artificial intelligence and a
 symbolic regression model that works to predict the presence of choledocholithiasis and
 provide evidence that clarifies the treatment of patients with this pathology, especially in
 this group where there is a bigger controversy.
Choledocholithiasis refers to the presence of gallstones within the common bile duct. It is
 proposed to look for markers that help in the diagnosis and in differentiating between
 retained and migrated gallstones. The selection of patients to perform endoscopic retrograde
 cholangiopancreatography (ERCP) is a very important aspect, due to the economic aspects and
 possible complications. By making a proper patient selection for additional studies or
 procedure, then the costs, complications and days of stay would be reduced. Avoiding the
 unnecessary use of ERCP would avoid its complications. Taking advantage of the development of
 technology, the improvement in computer systems, the use of artificial intelligence and a
 Symbolic Regression Model that works to predict the presence of choledocholithiasis and
 provide evidence that clarifies the treatment of patients with this pathology, especially in
 this group where there is a bigger controversy.

 Having the historical database of the University Hospital (HU), regarding clinical,
 laboratory and image variables of patients with suspected choledocholithiasis, using a
 symbolic regression method, several randomly formed equations are generated. Each equation
 deducts its coefficient of linear correlation (Pearson's correlation).

 For the following study we admitted to the emergency department of adults at the University
 Hospital all patients with clinical suspicion of choledocholithiasis, who meet the inclusion
 criterion. The study which is realized is a normal one based on the method of clinical
 predictors, obtaining laboratory studies, image studies, and patient management will be
 carried out based on the method of clinical predictors. The calculation is made with the
 equation obtained, and the patient is monitored until discharge. The calculation obtained
 from the equation will not be taken into account for the decisions in the management of the
 patient. The variables studied as white blood cells, total bilirubin values, direct
 bilirubin, indirect bilirubin, Serum alanine aminotransferase (ALT) and aspartate
 aminotransferase (AST), alkaline phosphatase (AP), gamma-glutamyl transpeptidase (GGT) at
 admission will be taken from the clinical record. Transabdominal ultrasonography will be
 performed upon admission by the diagnostic radiology department of the HU and the size of the
 bile duct in mm, presence of gallbladder gallstones and bile duct stones will be taken from
 the report. ERCP, magnetic resonance cholangiopancreatography (MRCP) or intraoperative
 cholangiography will be performed and one will be taken as a confirmation of
 choledocolithiasis, and its absence would rule it out.
Inclusion Criteria:

 -  Patients above 18 with clinical suspicion of choledocholithiasis by biliary-type pain,
 laboratory testing that reveals a cholestatic pattern of liver test abnormalities,
 biliary pancreatitis or dilated common bile duct

 Exclusion Criteria:

 -  Patient with a history of cholecystectomy

 -  History of previous ERCP or surgery involving bile duct

 -  Patient who could not be followed

 -  Patient with other pathology that causes alteration of liver function test.