Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes
Öz
The process for obtaining information that will
create value on a large-scale data stack is called data mining by its general
name. Data mining is commonly used in sales and marketing departments, in
determining strategies and making critical decisions for the future in many
sectors. Similarly, data mining is used in the determination of health
policies, more effective implementation of health services and in the
management of resources and institutions in the health sector. In this study, it was aimed to create a software
architecture of data mining that will help the personal monitoring of the
pregnancy process in a more effective way in the health sector. Many different types of data such as age, gender, location, education,
physical characteristics, lifestyle habits and medical history of the people
that could be used for this purpose are stored online by health institutions.
The machine learning algorithms have been created to determine classification,
clustering and association rule on these data.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Konferans Bildirisi
Yayımlanma Tarihi
26 Aralık 2016
Gönderilme Tarihi
29 Kasım 2016
Kabul Tarihi
1 Aralık 2016
Yayımlandığı Sayı
Yıl 2016 Cilt: 4 Sayı: Special Issue-1
Cited By
A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal
Sensors
https://doi.org/10.3390/s21030951Architecture and implementation of a smart‐pregnancy monitoring system using web‐based application
Expert Systems
https://doi.org/10.1111/exsy.12379Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes
International Journal of Intelligent Systems and Applications in Engineering
https://doi.org/10.18201/ijisae.270369