Articles liés à Ambient Intelligence Assisted Healthcare Monitoring

Ambient Intelligence Assisted Healthcare Monitoring - Couverture souple

Salih, Abdelhamid; Abraham, Ajith

 
9783659957581: Ambient Intelligence Assisted Healthcare Monitoring
Couverture souple
ISBN 10 : 3659957585 ISBN 13 : 9783659957581
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Monitoring is a process of continuously gathering data and performing real-time analysis, monitoring can improve the assessment of the current state, optimization of the business processes, identification of the critical situation, new opportunities, and assisted in decision support and planning. Traditional healthcare monitoring and services are usually offered within hospitals or medical centers, patient's vital signs measurements is conducted by traditional measurements approach. This is costly, inefficient and inconvenient for the people with the need of routine check. Thus addressing issues pertinent to healthcare monitoring. This work is focusing on the investigation of Ambient Intelligence (AmI) assisted healthcare monitoring model. The data set was constructed by simulation of patients wearable sensors from the environment of Baraha Medical City in Shambat, Khartoum North, Sudan. In connection, with this, we defined and developed proposed integrated AmI healthcare monitoring architecture framework. This research followed a research scientific design approach employing specific methods, including literature review, qualitative data analysis, and data mining (DM) techniques.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Monitoring is a process of continuously gathering data and performing real-time analysis, monitoring can improve the assessment of the current state, optimization of the business processes, identification of the critical situation, new opportunities, and assisted in decision support and planning. Traditional healthcare monitoring and services are usually offered within hospitals or medical centers, patient's vital signs measurements is conducted by traditional measurements approach. This is costly, inefficient and inconvenient for the people with the need of routine check. Thus addressing issues pertinent to healthcare monitoring. This work is focusing on the investigation of Ambient Intelligence (AmI) assisted healthcare monitoring model. The data set was constructed by simulation of patients wearable sensors from the environment of Baraha Medical City in Shambat, Khartoum North, Sudan. In connection, with this, we defined and developed proposed integrated AmI healthcare monitoring architecture framework. This research followed a research scientific design approach employing specific methods, including literature review, qualitative data analysis, and data mining (DM) techniques.

Biographie de l'auteur

Dr. Abdelhamid Salih works in the field of healthcare monitoring using ambient intelligence, data mining and computational intelligence. Dr. Ajith Abraham works in the field of machine intelligence and has numerous publications. He is the Director of Machine Intelligence research Labs (MIR Labs).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659957585
ISBN 13 
9783659957581
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
non disponible
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