Wiki » History » Version 2
Version 1 (Tiago Rocha, 04/09/2012 22:54) → Version 2/15 (Tiago Rocha, 22/11/2012 14:13)
h1. *Polypharmacy and fall in the elderly population*
The current Wiki presentation page was made in order to present a small description of this thesis that is beeing deveoped currentlly in association between FEUP and Fraunhofer Portugal. This thesis inteends to study and develop an application capable of identifying possible risky medical drugs that can lead elderly people to fall. It intends aswell to study the possible effcts on the combination of multiple drugs.
Some drugs may present unfortunate side effecta wich may lead to an increased possibility of falls. This problem is much more severe when we are leading with elder population, since theis fisical state is normally poorer when compared to a healthy young person.
During the deveopment oh this thesis we had to identify the given drugs, classify them in a specific category and access the related risk. To do so we used some medical databases and developed our system based on them.
*Student:*
Tiago Adelino Araújo Rocha
ei07083@fe.up.pt
*Supervisor@FEUP:* Henrique Lopes Cardoso
*Supervisor@FhP:* Liliana Ferreira
h2. Institution:
* Faculdade de Engenharia da Universidade do Porto
* Rua Dr. Roberto Frias, s/n
* 4200-465 Porto PORTUGAL
*in association with*
* Fraunhofer AICOS
* Rua Alfredo Allen 455
* 4200-135 Porto, PORTUGAL
!http://www.cienciapt.net/noticias/imagens/novas/fraunhofer_portugal.gif!
h2. Report Links:
Abstract Portuguese
Abstract English
Report
The current Wiki presentation page was made in order to present a small description of this thesis that is beeing deveoped currentlly in association between FEUP and Fraunhofer Portugal. This thesis inteends to study and develop an application capable of identifying possible risky medical drugs that can lead elderly people to fall. It intends aswell to study the possible effcts on the combination of multiple drugs.
Some drugs may present unfortunate side effecta wich may lead to an increased possibility of falls. This problem is much more severe when we are leading with elder population, since theis fisical state is normally poorer when compared to a healthy young person.
During the deveopment oh this thesis we had to identify the given drugs, classify them in a specific category and access the related risk. To do so we used some medical databases and developed our system based on them.
*Student:*
Tiago Adelino Araújo Rocha
ei07083@fe.up.pt
*Supervisor@FEUP:* Henrique Lopes Cardoso
*Supervisor@FhP:* Liliana Ferreira
h2. Institution:
* Faculdade de Engenharia da Universidade do Porto
* Rua Dr. Roberto Frias, s/n
* 4200-465 Porto PORTUGAL
*in association with*
* Fraunhofer AICOS
* Rua Alfredo Allen 455
* 4200-135 Porto, PORTUGAL
!http://www.cienciapt.net/noticias/imagens/novas/fraunhofer_portugal.gif!
h2. Report Links:
Abstract Portuguese
Abstract English
Report