[HTML][HTML] Artificial intelligence and kidney transplantation

N Seyahi, SG Ozcan - World Journal of Transplantation, 2021 - ncbi.nlm.nih.gov
Artificial intelligence and its primary subfield, machine learning, have started to gain
widespread use in medicine, including the field of kidney transplantation. We made a review …

[HTML][HTML] Beyond Human Limits: Harnessing Artificial Intelligence to Optimize Immunosuppression in Kidney Transplantation

D Basuli, S Roy - Journal of Clinical Medicine Research, 2023 - ncbi.nlm.nih.gov
The field of kidney transplantation is being revolutionized by the integration of artificial
intelligence (AI) and machine learning (ML) techniques. AI equips machines with human-like …

Tuberculosis disease diagnosis by using adaptive neuro fuzzy inference system and rough sets

T Uçar, A Karahoca, D Karahoca - Neural Computing and Applications, 2013 - Springer
A correct diagnosis of tuberculosis disease can be only stated by applying a medical test to
patient's phlegm. The result of this test is obtained after a time period of about 45 days. The …

Dosage planning for diabetes patients using data mining methods

EG Yıldırım, A Karahoca, T Uçar - Procedia Computer Science, 2011 - Elsevier
The condition of high blood sugar (glucose) level is called as diabetes mellitus. Cause of
this disease can be either insufficient insulin production or improper response of body cell to …

Application of adaptive network based fuzzy inference system method in economic welfare

E Shekarian, AA Gholizadeh - Knowledge-Based Systems, 2013 - Elsevier
Welfare analysis is a very important issue in the context of socio-economic. There is a huge
literature about economic welfare and exist many conventional techniques and traditional …

Predicting existence of Mycobacterium tuberculosis on patients using data mining approaches

T Uçar, A Karahoca - Procedia Computer Science, 2011 - Elsevier
A correct diagnosis of tuberculosis (TB) can be only stated by applying a medical test to
patient's phlegm. The result of this test is obtained after a time period of about 45 days. The …

[HTML][HTML] Dose adjustment strategy of cyclosporine A in renal transplant patients: evaluation of anthropometric parameters for dose adjustment and C0 vs. C2 …

T Kokuhu, K Fukushima, H Ushigome… - … journal of medical …, 2013 - ncbi.nlm.nih.gov
The optimal use and monitoring of cyclosporine A (CyA) have remained unclear and the
current strategy of CyA treatment requires frequent dose adjustment following an empirical …

[PDF][PDF] Böbrek nakilli hastalarda greft sağkalımının yapay zeka yöntemleri ile tahmin edilmesi

T Öz, M Pehlivan, İ Pirim - Forbes Tıp Dergisi, 2023 - jag.journalagent.com
ÖZ Günümüzde, böbrek nakli son dönem böbrek yetmezliği olan hastaların sağkalımını ve
yaşam kalitesini artıran en uygun tedavi yöntemi olarak kabul edilir. Başarılı bir böbrek nakli …

[PDF][PDF] 人工神经网络模型在肾移植患者他克莫司个体化给药中的应用

傅晓华, 洪晓丹, 刘石带, 叶毅芳… - 中国药学 …, 2013 - journal11.magtechjournal.com
目的建立人工神经网络用于估算肾移植受者他克莫司血药浓度. 方法收集55
例肾移植受者口服他克莫司的322 份稳态全血浓度数据, 采用遗传算法配合动量法优化网络参数 …

Comparative analysis of ANFIS and ANN for evaluating inter-agent dependency requirements

V Gaur, A Soni, P Bedi, SK Muttoo - International Journal of …, 2014 - cspub-ijcisim.org
The quantification and prediction of inter-agent dependency requirements is one of the main
concerns in Agent Oriented Requirements Engineering. To evaluate exertion load of an …