There are a great number of uncertainties in medical practice, causing considerable difficulties in medical activities such as diagnosis and prognostic prediction. Neural-fuzzy system (NFS) combines the advantages of artificial neural networks and fuzzy logic very well, and has become a new type of artificial intelligence model which is capable of acquiring knowledge from data and expressing it in the form of fuzzy rules. Because of its strong capability of classification and processing fuzzy information, NFS is more and more used in medical practice. Adaptive neural-fuzzy inference system (ANFIS) is one of the most popular forms of NFS. This review focuses on the use of ANFIS in medical practice.
Objective To discuss the application value in increasing the frequency of monitoring and ensuring the safety of anticoagulation therapy in patient self-monitoring (PST) and self-management (PSM) of portable coagulometer. Method This non-randomized prospective controlled study was conducted in 100 patients receiving oral warfarin anticoagulation therapy after heart valve replacement and met the inclusion criteria in our hospital between March 2013 and April 2014 year. All the patients were divided into three groups including an outpatient follow-up group(outpatient group), a self-monitoring group and a self-management group. Meanwhile, the patients in the outpatient group visited professional institutions, performed international normalized ratio (INR) testing with central lab and adjusted the dosage of orally administered warfarin by the doctors. And the other two groups performed INR testing with CoaguChek XS portable coagulometer by themselves, and the patients in the self-management group performed management by themselves. The follow-up time was 6 months. The dates of time in therapeutic range (TTR), fraction of time in therapeutic range (FTTR) and anticoagulation complications in the three groups were analyzed and compared. Results There was no significant difference in the INR results obtained from the follow-up time among the three groups (P=0.845) . TTR value of INR of the outpatient group, the self-monitoring group, and the self-management group was 45.9% (4368.0 days/9517.0 days), 61.2% (6057.0 days/9897.0 days), and 65.4% (2833.8 days/4333.0 days), respectively with a statistical difference among the three groups (P<0.001) . FTTR value of INR obtained from the outpatient group, the self-monitoring group, and the self-management group was 48.3% (99 times/205 times), 60.7% (164 times/270 times), and 64.9% (100 times/154 times) respectively. There was a statistical difference in the FTTR between the outpatient group and the self-monitoring group (P=0.007) , and also between the outpatient group and the self-monitoring group (P=0.002) . But there was no statistical difference between the self-monitoring group and the self-management group (P=0.392) . There were not any major bleeding and thrombosis complications in all study. And there was no statistical difference in the total complications, thrombosis, and bleeding complications rates between the outpatient group and the self-monitoring group, and also between the outpatient group and the self-management group (P>0.05) . Conclusions The patients receiving oral anticoagulation after heart valve replacement or their care providers were able to perform PST and PSM. The use of portable coagulometer for self-monitoring and self-management can increase the frequency of anticoagulation monitoring and achieve better INR target value control. PST and PSM could achieve higher quality of anticoagulation management and life and without increasing the risk of oral anticoagulation than the traditional monitoring method. The monitoring frequency of once a month is reasonable for the patients receiving oral anticoagulation more than half a year after heart valve replacement.
ObjectivesTo investigate the correlation of warfarin dose genetic and polymorphism of Han-patients after heart valve replacement, to forecast the anticoagulation therapy with warfarin reasonable dosage, and to realize individualized management of anticoagulation monitoring. MethodsWe selected 103 patients between January 1, 2011 and December 31, 2012 in West China Hospital of Sichuan University who were treated by oral warfarin after heart valve replacement with monitoring anticoagulation by international normalized ratio (INR) in Anticoagulation Therapy Database of Chinese Patients after Heart Valve Replacement. There were 32 males and 71 female at age of 21-85 (48.64± 11.66) years. All the patients' CYP2C9 and VKORC1 genetic polymorphisms were detected by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RELP) method and gene sequencing technology. Warfarin concentration in plasma was determined by high performance liquid chromatography (HPLC) method. The activity of coagulation factorⅡ, Ⅶ, Ⅸ, Ⅹwas determined by Sysmex CA7000 analyzer. ResultsThe multivariate linear regression analysis showed that age, body surface area, and coagulation factor activity had no significant effect on warfarin dosage. While the gene polymor-phisms of CYP2C9 and VKORC1, warfarin concentration, and age had significant contributions to the overall variability in warfarin dose with decisive coefficients at 1.2%, 26.5%, 43.4%, and 5.0% respectively. The final equation was:Y=1.963-0.986× (CYP2C9* 3) +0.893× (VKORC1-1639) +0.002× (warfarin concentration)-0.019× (age). ConclusionMultiple regression equation including gene polymorphisms of CYP2C9 and VKORC1, non-genetic factors of coagulation factor activity, warfarin concentration, age, and body surface area can predict reasonable dosage of warfarin for anticoagulation to achieve individualized management of anticoagulation monitoring and reduce the anticoagulation complications.