Titlebook: CMBEBIH 2021; Proceedings of the I Almir Badnjevic,Lejla Gurbeta Pokvi? Conference proceedings 2021 The Editor(s) (if applicable) and The A

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書目名稱CMBEBIH 2021影響因子(影響力)




書目名稱CMBEBIH 2021影響因子(影響力)學(xué)科排名




書目名稱CMBEBIH 2021網(wǎng)絡(luò)公開度




書目名稱CMBEBIH 2021網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱CMBEBIH 2021被引頻次




書目名稱CMBEBIH 2021被引頻次學(xué)科排名




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書目名稱CMBEBIH 2021年度引用學(xué)科排名




書目名稱CMBEBIH 2021讀者反饋




書目名稱CMBEBIH 2021讀者反饋學(xué)科排名

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Resection

Detection of Asthma Inflammatory Phenotypes Using Artificial Neural Networklume (FEV1), eosinophiles, FeNO and IgE were measured. The neural network was made and it detected asthma by analyzing these parameters. It had the accuracy of 92.2%. This shows a great potential of neural network use when it comes to the detection of asthma and this could be an instrument used in clinical practice.

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散布

https://doi.org/10.1007/978-3-8348-9059-7he increase in the collectible amount of data, there is a growing demand for the automatization of the signal analysis process, which could reduce human error, save time and improve the quality and the accuracy of the calculated results.

津貼

,Numerische Verfahren für Eigenwertprobleme,d limitations of intestinal modeling as opposed to in vivo studies. Finally, we discuss future directions that intestinal modeling researchers can explore, such as inclusion of other organs within the digestive system and more specific modeling applying to different types of foods.

津貼

Dna262

Simulating Passage and Absorption of Bolus with an Emphasis on the Small Intestine Using a MultiCompd limitations of intestinal modeling as opposed to in vivo studies. Finally, we discuss future directions that intestinal modeling researchers can explore, such as inclusion of other organs within the digestive system and more specific modeling applying to different types of foods.

倔強(qiáng)不能

ANTE

,L?sung linearer Gleichungssysteme,andom Subspace ensemble classifier model for diagnosis of neuromuscular disorders. Results are promising and showed that the SVM and ANN with Random Subspace ensemble method archived an accuracy of 99%.