scholarly journals TECHNOLOGIES FOR DEVELOPING DECISION SUPPORT SYSTEMS FOR THE DIAGNOSIS OF BLOOD DISORDERS USING CONVOLUTIONAL NEURAL NETWORKS

2021 ◽  
pp. 138-150
Author(s):  
U. V. Maslikova ◽  
A. A. Supilnikov
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Decision Support Systems ◽  
Convolutional Neural Networks ◽  
Support Systems ◽  
Blood Disorders

RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems

2017 ◽  
Vol 8 (2) ◽  
pp. 860-864 ◽  
Author(s):  
P. Rydahl ◽  
N.-P. Jensen ◽  
M. Dyrmann ◽  
P. H. Nielsen ◽  
R. N. Jørgensen
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Decision Support Systems ◽  
Convolutional Neural Networks ◽  
Weed Management ◽  
Support Systems ◽  
Integrated Weed Management ◽  
Site Specific ◽  
Large Numbers ◽  
Herbicide Use

In order to exploit potentials of 20–40% reduction of herbicide use, as documented by use of Decision Support Systems (DSS), where requirements for manual field inspection constitute a major obstacle, large numbers of digital pictures of weed infestations have been collected and analysed manually by crop advisors. Results were transferred to: 1) DSS, which determined needs for control and connected, optimized options for control returned options for control and 2) convolutional, neural networks, which in this way were trained to enable automatic analysis of future pictures, which support both field- and site-specific integrated weed management.

scholarly journals Intelligent medical systems in diagnosing and treating inflammatory diseases of the pancreas (systematic review)

2018 ◽  
Vol 39 (1) ◽  
pp. 10-15
Author(s):  
A. A. Litvin
Keyword(s):  
Systematic Review ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Inflammatory Diseases ◽  
Review Of The Literature ◽  
Medical Systems ◽  
Pancreatic Diseases

This paper is a systematic review of the literature on the use of intelligent medical systems in the diagnosis and treatment of acute inflammatory pancreatic diseases. The author provides modern literature data on the efficacy of decision support systems based on artificial neural networks to determine the severity, diagnosis and outcome prognosis of pancreatitis and complications.

scholarly journals DECISION SUPPORT SYSTEMS IN THE DIAGNOSIS AND TREATMENT OF ACUTE PANCREATITIS

2016 ◽  
pp. 10-17
Author(s):  
A. A. Litvin ◽  
O. Yu. Rebrova
Keyword(s):  
Systematic Review ◽  
Neural Networks ◽  
Decision Making ◽  
Acute Pancreatitis ◽  
Decision Support ◽  
Decision Support Systems ◽  
Pancreatic Necrosis ◽  
Support Systems ◽  
Diagnosis And Treatment ◽  
Review Of Literature

This paper is a systematic review of literature covering the use of decision support systems in the diagnosis and treatment of acute pancreatitis. The authors provide modern literature data on the efficacy of different support systems for decision-making based on artificial neural networks to determine the severity of acute pancreatitis outcomes, prognosis and diagnosis of infected pancreatic necrosis.

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