Method for selecting medical and biochemical diagnostic tests using neural network-related applications

Abstract

Computer systems and methods for diagnosing endometriosis and for assessing the risk of delivery within selected time period after performing a test to assess the rist of preterm delivery or before thirty-five weeks of gestation are provided.

What is claimed:  
     
         1 . A computer system, comprising a neural network or plurality thereof trained for diagnosing endometriosis.  
     
     
         2 . A method for diagnosing endometriosis in a subject, comprising: 
 querying and examining the patient to assess the answers to at least three of the following questions: 
 past history of endometriosis, number of births, dysmenorrhea, age, pelvic pain, history of pelvic surgery, smoking and if yes, the number of packs/day, medication history, number of pregnancies, number of abortions, abnormal PAP smear/dysplasia, pregnancy hyperplasia, genital warts and diabetes; and  
 based upon the results of the answers determining whether the patient has endometriosis.  
   
     
     
         3 . A computer system, comprising a neural network or plurality thereof trained for assessing the risk of delivery within a selected time period, wherein the time period is within seven or fourteen days of performing a biochemical test to measure fetal fibronectin in a sample from a pregnant subject or the time period is prior to thirty five weeks of gestation.  
     
     
         4 . The system of  claim 3 , wherein the time period is within seven days of performing a biochemical test to measure fetal fibronectin.  
     
     
         5 . The system of  claim 3 , wherein the time period is within or fourteen days of performing a biochemical test to measure fetal fibronectin.  
     
     
         6 . The system of  claim 3 , wherein the time period is prior to thirty five weeks of gestation.