Confidence-Enhanced Early Warning Score Based on Fuzzy Logic

Autor: Axel Jantsch, Iman Azimi, Pasi Liljeberg, Maximilian Götzinger, Nima TaheriNejad, Arman Anzanpour, Amir M. Rahmani

Publikováno v: Mobile Networks and Applications. 27:691-708

Cardiovascular diseases are one of the world’s major causes of loss of life. The vital signs of a patient can indicate this up to 24 hours before such an incident happens. Healthcare professionals use Early Warning Score (EWS) as a common tool in h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02bd3a4b8fde8bf797df40a8b3d55a46
https://doi.org/10.1007/s11036-019-01324-5

An Agent-Based Framework for Complex Networks

Autor: Maximilian Götzinger, Thilo Sauter, Alexander Wendt

Publikováno v: IFIP Advances in Information and Communication Technology
15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.559-570, ⟨10.1007/978-3-030-19823-7_47⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030198220
AIAI

Part 11: Multi Agent - IoT; International audience; A large number of research and industrial projects could benefit from a module-based development. However, these modules and the communication between them may vary from project to project. Therefor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb9174ca0dc0d4836da6abaf2faf8aac
https://hal.inria.fr/hal-02331297/document

Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment

Autor: Iman Azimi, Amir M. Rahmani, Arman Anzanpour, Maximilian Götzinger, Nima TaheriNejad

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319985503
MobiHealth

Early Warning Score (EWS) systems are a common practice in hospitals. Health-care professionals use them to measure and predict amelioration or deterioration of patients’ health status. However, it is desired to monitor EWS of many patients in ever

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02b352cac795ad0d73a320eec039a21c
https://doi.org/10.1007/978-3-319-98551-0_1

Enhancing the Early Warning Score System Using Data Confidence

Autor: Hannu Tenhunen, Axel Jantsch, Pasi Liljeberg, Maximilian Götzinger, Nima TaheriNejad, Amir M. Rahmani

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319588766
MobiHealth

Early Warning Score (EWS) systems are utilized in hospitals by health-care professionals to interpret vital signals of patients. These scores are used to measure and predict amelioration or deterioration of patients’ health status to intervene in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9eb26ee4c5d0db5c857c2cec9fcfb1b2
https://doi.org/10.1007/978-3-319-58877-3_12

Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics

Autor: Maximilian Götzinger, Nima TaheriNejad, Axel Jantsch, Iman Azimi, Pasi Liljeberg, Nikil Dutt, Arman Anzanpour, Amir M. Rahmani

Publikováno v: DATE

In healthcare, effective monitoring of patients plays a key role in detecting health deterioration early enough. Many signs of deterioration exist as early as 24 hours prior having a serious impact on the health of a person. As hospitalization times

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b309ecb278a44b2f5b2512d0c31e0ac2
https://doi.org/10.23919/DATE.2017.7927146