Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin

The term of “postpartum” is refer to the period occurring after childbirth with reference to the mother. Depression after giving birth is known as postpartum depression which occur during postpartum period or the literal translation means “confinement period”. This project will cover about postpartu...

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Main Author:	Zainuddin, Raudhah Hayati
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Online Access:	http://ir.uitm.edu.my/id/eprint/18090/ http://ir.uitm.edu.my/id/eprint/18090/1/PPb_RAUDHAH%20HAYATI%20ZAINUDDIN%20CS%2017_5.pdf

id	uitm-18090
recordtype	eprints
spelling	uitm-180902019-04-16T07:14:12Z http://ir.uitm.edu.my/id/eprint/18090/ Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin Zainuddin, Raudhah Hayati The term of “postpartum” is refer to the period occurring after childbirth with reference to the mother. Depression after giving birth is known as postpartum depression which occur during postpartum period or the literal translation means “confinement period”. This project will cover about postpartum depression in term of severity level and probabilities for each categorization of postpartum depression known as postpartum blue, postpartum nonpsychotic and postpartum psychosis based on symptom assigned by the user. This system will ease the users to avoid the burden from the negative stigma of depression since it can be use anyway and anytime they need at early sign of postpartum depression. Planning and analyzing data, design and develop system using rule based technique and evaluate the functionalities are the phases involved in project methodology using Agile method. The system are functionally tested in functionalities testing to ensure it work in well. Findings for this system, user can find their severity level of postpartum depression and probabilities for each stage of postpartum depression. This system uses XAMPP server as localhost, PHP as a programming language and MYSQL as a database. The motivation in the future is the system will expand into many kinds of disease and many fields not only for medical purpose. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18090/1/PPb_RAUDHAH%20HAYATI%20ZAINUDDIN%20CS%2017_5.pdf Zainuddin, Raudhah Hayati (2017) Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	The term of “postpartum” is refer to the period occurring after childbirth with reference to the mother. Depression after giving birth is known as postpartum depression which occur during postpartum period or the literal translation means “confinement period”. This project will cover about postpartum depression in term of severity level and probabilities for each categorization of postpartum depression known as postpartum blue, postpartum nonpsychotic and postpartum psychosis based on symptom assigned by the user. This system will ease the users to avoid the burden from the negative stigma of depression since it can be use anyway and anytime they need at early sign of postpartum depression. Planning and analyzing data, design and develop system using rule based technique and evaluate the functionalities are the phases involved in project methodology using Agile method. The system are functionally tested in functionalities testing to ensure it work in well. Findings for this system, user can find their severity level of postpartum depression and probabilities for each stage of postpartum depression. This system uses XAMPP server as localhost, PHP as a programming language and MYSQL as a database. The motivation in the future is the system will expand into many kinds of disease and many fields not only for medical purpose.
format	Student Project
author	Zainuddin, Raudhah Hayati
spellingShingle	Zainuddin, Raudhah Hayati Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
author_facet	Zainuddin, Raudhah Hayati
author_sort	Zainuddin, Raudhah Hayati
title	Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
title_short	Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
title_full	Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
title_fullStr	Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
title_full_unstemmed	Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin
title_sort	classifying severity level of postpartum depression symptom using rule based technique / raudhah hayati zainuddin
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/18090/ http://ir.uitm.edu.my/id/eprint/18090/1/PPb_RAUDHAH%20HAYATI%20ZAINUDDIN%20CS%2017_5.pdf
first_indexed	2023-09-18T22:59:44Z
last_indexed	2023-09-18T22:59:44Z
_version_	1777418092907855872

Classifying severity level of postpartum depression symptom using rule based technique / Raudhah Hayati Zainuddin

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