Development of an Artificial Intelligence-Supported Hybrid Data Management Platform for Monitoring Depression and Anxiety Symptoms in the Perinatal Period: Pilot-Scale Study

Development of an Artificial Intelligence-Supported Hybrid Data Management Platform for Monitoring Depression and Anxiety Symptoms in the Perinatal Period: Pilot-Scale Study

One of the forces driving science and industry is machine learning, but the proliferation of Big Data necessitates paradigm shifts from conventional approaches in applying machine learning techniques to this massive amount of data with varying velocity. Computers are now capable of accurately diagno...

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Bibliographic Details
Main Authors: Nur Banu Ogur, Celal Ceken, Yavuz Selim Ogur, Hilal Uslu Yuvaci, Ahmet Bulent Yazici, Esra Yazici
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data analytics
streaming data processing
machine learning
health informatics
perinatal period
anxiety
Online Access:https://ieeexplore.ieee.org/document/10082938/

Internet

https://ieeexplore.ieee.org/document/10082938/

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