Title :
RespDoc: A new Clinical Decision Support System for Childhood Asthma Management based on Fraction of Exhaled Nitric Oxide (FeNO) measurements
Author :
Rigopoulou, Aikaterini V. ; Anthracopoulos, Michael B. ; Katsardis, Charis V. ; Lymberopoulos, D.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece
Abstract :
The use of Fraction of Exhaled Nitric Oxide (FeNO) for measurement of inflammation in the respiratory system is a good way to assess the level of asthma in children. In this paper we present a new Clinical Decision Support System (CDSS) for Childhood Asthma Management based on FeNO, which is named RespDoc. The core of RespDoc is a decision making algorithm and a patient´s monitoring process that are extensively analyzed in the paper. The performance of RespDoc is tested through the process and assessment of archived patients´ data.
Keywords :
biomedical measurement; decision making; decision support systems; diseases; iron compounds; medical computing; paediatrics; patient monitoring; pneumodynamics; FeO; RespDoc; childhood asthma management; clinical decision support system; decision making algorithm; fractional exhaled nitric oxide measurements; patient monitoring; respiratory inflammation; Decision making; Diseases; Guidelines; Medical diagnostic imaging; Monitoring; Pediatrics;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6609748
