Tibbiyotda axborot texnologiyalari



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Tibbiyotda axborot texnologiyalar darslik Bazarbayev 2018

 
Dasturiy ta’minoti 
Tijoriy (pullik) dasturlar 
Statistica Neural Network,
TNs2Server,
DataEngine,
Know Man Basic Suite,
Partek,
Saxon,
ECANSE – Environment for Computer Aided Neural 
Software Engineering, Neuroshell, Neurogen,
Matlab:Neural Network Toolbar. 
Ochiq dasturlar (Freeware Software) 
Net II,
Spider Nets Neural Network Library,
NeuDC,
Binary Hopfeild Net with free Java source,
Neural shell,
PlaNet,
Valentino Computational Neuroscience Work bench,
Neural Simulation language version-NSL,
Brain neural network Simulator. 
 
 
 


Natijalar 
An overview of the main disciplines is cited here: 
• Cardiology-100% accuracy 
• Analysis of ECGs-99.99% sensitivity 
• Intensive Care-initiating necessary responses (clinicians – 45 
sec; NN – 17 sec) 
• Gastroenterology – 100% accuracy 
• Pulmonology-more accurate than 2 well-trained experts in 
the diagnosis 
• Oncology-useful in the diagnostic process 
• Neurology-86% sensitivity rate (analysis of brain SPECT 
image data) 
• Analysis of EEG-accuracy of 93.3%
• Otorhinolaryngology-a new and effective method for 
modelling hearing 
• Obstetrics & Gynecology-to determine the teratogenity of 
administrated drugs 
• Ophthalmology-80% rate (videokeratography) 
• Radiology-95% accuracy and 90% sensitivity 
• Pathology-increase diagnostic precision (20%) 
• Cytology-yield slightly better results (30%) 
• Genetics-for studying the entire spatial embryogenesis and 
genetic pattern formation in Drosophila 
• Clinical Chemistry-By automated evaluation of 
electrophoretic patterns, effectiveness and efficiency is increased 
• Biochemistry-for representation of amino acid sequence – 
structure relation.

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