Banca de QUALIFICAÇÃO: ANDERSON PABLO NASCIMENTO DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : ANDERSON PABLO NASCIMENTO DA SILVA
DATA : 20/12/2017
HORA: 09:00
LOCAL: CIVT/IMD - Sala B321
TÍTULO:

A Monitoring Platform Of Cardiac Arrhythmia in Real Time Flow

PALAVRAS-CHAVES:

healthcare, machine learning, cardiac arrhythmia, real time

PÁGINAS: 100
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
ESPECIALIDADE: Engenharia de Software
RESUMO:

In the last decade there has been a rapid growth in the ability of computer systems to collect and carry large amounts of data. Scientists and engineers who collect this data have often turned to machine learning in order to find solutions to the problem of turning that data into information. For example, in various medical devices, such as the availability of health monitoring systems, drug boxes with sensors embedded in them that allow you to collect raw data, store and analyze, and through the analysis you can get insights and decisions on such data sets. With the use of health applications based on machine learning, there is an opportunity to improve the quality and efficiency of medical care and, consequently, improve the wellness of patients. Thus, this work has as general objective the construction of an intelligent cardiac arrhythmia monitoring platform that allows monitoring, identifying and alerting health professionals, patients and / or relatives in real time about the hospitalized patient's health. The architecture and implementation of the platform were based on the Weka API and, as part of this work, a proof of concept of the use of the platform involving modules and applications developed in Java was implemented.

MEMBROS DA BANCA:
Presidente - 1802737 - GIBEON SOARES DE AQUINO JUNIOR
Externo ao Programa - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Externo ao Programa - 4351681 - JOAO CARLOS XAVIER JUNIOR