PERI_DEP: A dataset of mother's mental health in PakistanZenodo
Perinatal depression (PND) represents a multifaceted mental health issue that impacts women throughout the perinatal period. Existing datasets have a class imbalance issue, resulting in biased outcomes. In Pakistan, we developed a novel dataset called PERI_DEP. This dataset leverages the Patient Hea...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925003531 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850225970973245440 |
|---|---|
| author | Amna Zafar Beenish Ayesha Akram Muhammad Wasim Maham Ivan Miguel Pires Paulo Jorge Coelho |
| author_facet | Amna Zafar Beenish Ayesha Akram Muhammad Wasim Maham Ivan Miguel Pires Paulo Jorge Coelho |
| author_sort | Amna Zafar |
| collection | DOAJ |
| description | Perinatal depression (PND) represents a multifaceted mental health issue that impacts women throughout the perinatal period. Existing datasets have a class imbalance issue, resulting in biased outcomes. In Pakistan, we developed a novel dataset called PERI_DEP. This dataset leverages the Patient Health Questionnaire (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS), and socio-demographic questionnaires to gather information about mental health state and socioeconomic details of women participants in urban and rural areas. Our novel PERI_DEP dataset contains 14,008 samples, and women from Lahore and Gujranwala participated. To tackle the issue of class imbalance, we employed Generative Adversarial Network (GAN) oversampling technique on our data. A key insight derived from this dataset is the comparative socio-demographic divide of women in rural and urban areas of Pakistan. PERI_DEP dataset enhances hospital capabilities by streamlining screening processes, customizing interventions, and enabling researchers to identify risk factors and develop new treatments accurately. |
| format | Article |
| id | doaj-art-14bd58130a674bb3bf942a78cdda04d5 |
| institution | OA Journals |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-14bd58130a674bb3bf942a78cdda04d52025-08-20T02:05:12ZengElsevierData in Brief2352-34092025-06-016011162110.1016/j.dib.2025.111621PERI_DEP: A dataset of mother's mental health in PakistanZenodoAmna Zafar0Beenish Ayesha Akram1Muhammad Wasim2 Maham3Ivan Miguel Pires4Paulo Jorge Coelho5Department of Computer Science, University of Engineering and Technology, Lahore, PakistanDepartment of Computer Engineering, University of Engineering and Technology, Lahore, PakistanDepartment of Computer Science, University of Management and Technology, Lahore (Sialkot Campus), PakistanDepartment of Computer Science, University of Engineering and Technology, Lahore, PakistanInstituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, PortugalSchool of Technology and Management, Polytechnic University of Leiria, Leiria, Portugal; Institute for Systems Engineering and Computers at Coimbra, University of Coimbra, Coimbra, Portugal; Corresponding author.Perinatal depression (PND) represents a multifaceted mental health issue that impacts women throughout the perinatal period. Existing datasets have a class imbalance issue, resulting in biased outcomes. In Pakistan, we developed a novel dataset called PERI_DEP. This dataset leverages the Patient Health Questionnaire (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS), and socio-demographic questionnaires to gather information about mental health state and socioeconomic details of women participants in urban and rural areas. Our novel PERI_DEP dataset contains 14,008 samples, and women from Lahore and Gujranwala participated. To tackle the issue of class imbalance, we employed Generative Adversarial Network (GAN) oversampling technique on our data. A key insight derived from this dataset is the comparative socio-demographic divide of women in rural and urban areas of Pakistan. PERI_DEP dataset enhances hospital capabilities by streamlining screening processes, customizing interventions, and enabling researchers to identify risk factors and develop new treatments accurately.http://www.sciencedirect.com/science/article/pii/S2352340925003531PerinatalPrenatalPostnatalDepressionMental health |
| spellingShingle | Amna Zafar Beenish Ayesha Akram Muhammad Wasim Maham Ivan Miguel Pires Paulo Jorge Coelho PERI_DEP: A dataset of mother's mental health in PakistanZenodo Data in Brief Perinatal Prenatal Postnatal Depression Mental health |
| title | PERI_DEP: A dataset of mother's mental health in PakistanZenodo |
| title_full | PERI_DEP: A dataset of mother's mental health in PakistanZenodo |
| title_fullStr | PERI_DEP: A dataset of mother's mental health in PakistanZenodo |
| title_full_unstemmed | PERI_DEP: A dataset of mother's mental health in PakistanZenodo |
| title_short | PERI_DEP: A dataset of mother's mental health in PakistanZenodo |
| title_sort | peri dep a dataset of mother s mental health in pakistanzenodo |
| topic | Perinatal Prenatal Postnatal Depression Mental health |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925003531 |
| work_keys_str_mv | AT amnazafar peridepadatasetofmothersmentalhealthinpakistanzenodo AT beenishayeshaakram peridepadatasetofmothersmentalhealthinpakistanzenodo AT muhammadwasim peridepadatasetofmothersmentalhealthinpakistanzenodo AT maham peridepadatasetofmothersmentalhealthinpakistanzenodo AT ivanmiguelpires peridepadatasetofmothersmentalhealthinpakistanzenodo AT paulojorgecoelho peridepadatasetofmothersmentalhealthinpakistanzenodo |