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All Journal Jurnal Keperawatan Jiwa (JKJ): Persatuan Perawat Nasional Indonesia Bulletin of Electrical Engineering and Informatics JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE Berkala Kedokteran Jurnal Surya Medika JOURNAL OF HEALTH SCIENCE (JURNAL ILMU KESEHATAN) Bunda Edu-Midwifery Journal (BEMJ) Jurnal Delima Harapan Indonesia Berdaya Jurnal Kebidanan Khatulistiwa JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Jurnal Rumpun Ilmu Kesehatan Health Research Journal of Indonesia Indonesian Journal of Early Childhood : Jurnal Dunia Anak Usia Dini Majalah Cendekia Mengabdi Detector: Jurnal Inovasi Riset Ilmu Kesehatan Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Suaka Insan Mengabdi Al-Hayat: Natural Sciences, Health & Environment Journal Health Sciences International Journal Journal of Innovative and Creativity Science Techno Health Journal Midwifery And Complementary Care
Dwi Salmarini, Desilestia
Program Studi Sarjana Kebidanan, Fakultas Kesehatan, Universitas Sari Mulia, Indonesia
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Journal : Bulletin of Electrical Engineering and Informatics

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Recent advancements in postpartum depression prediction through machine learning approaches: a systematic review Fazraningtyas, Winda Ayu; Rahmatullah, Bahbibi; Dwi Salmarini, Desilestia; Arrieya Ariffin, Shamsul; Ismail, Azniah
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.7185

Abstract

Postpartum depression (PPD) is a significant mental health concern affecting mothers worldwide, irrespective of demographic factors. Detecting and managing PPD at an early stage is crucial for effective intervention. In the context of mental health, intelligent predictive models based on machine learning (ML) have emerged as valuable tools. However, there remains a relative scarcity of research specifically targeting postpartum mental health due to several prominent factors that collectively impede the widespread adoption and practical implementation of ML in the field of PPD. This paper provides an updated overview of ML approaches for PPD prediction. A systematic search across IEEE Xplore, PubMed, Science Direct, and Scopus yielded 1,074 relevant articles. The performance of ML algorithms varies depending on the dataset and the problem being addressed. Notably, the findings reveal that the random forest (RF) algorithm consistently demonstrates the highest predictive accuracy, followed by support vector machine (SVM), logistic regression (LR), XGBoost, and AdaBoost. The development of advanced data techniques in PPD has encouraged interdisciplinary collaboration between researchers in psychiatry and computer science that holds great potential for refining the accuracy and reliability of PPD predictive models, ultimately resulting in improved outcomes for mothers and their families through early detection, intervention, and support.
Co-Authors Adriana Palimbo, Adriana Ahmad Hidayat Ali Rakhman Hakim Amelia Dwiana Putri Anggraini, Dessy Anggrita Sari Anisa Safira Nuzullaika Apwanidya, Dhea Arni Arni Arrieya Ariffin, Shamsul Asti Wulan Ariani Auliyani, Nurul Ayu Puruhita Darini Kurniawati Dede Mahdiyah, Dede Dewi Murni Dewi, Nanda Citra DWI RAHMAWATI Dwi Sogi Sri Redjeki Elvine Ivana Kabuhung Fadhiyah Noor Anisa Fahriani, Fahriani Fhera Nanda Azhari Fitri Yuliana, Fitri Fitriah, Sita Hairiana Kusvitasari Hairiana Kusvitasari, Hairiana Haryono, Ika Avrilina Haryono, Ika Avrillina Hikmah, Rahmadaniati Ika Friscila Ika Mardiatul Ulfa Ika Mardiatul Ulfa Irawan, Angga Ismail, Azniah Isni Renuati Ivana Kabuhung, Elvine Juniarti Hasni Latifah Latifah Laurensia Yunita Laurensia Yunita, Laurensia Lestari, Yayuk Puji Linda Kusumawati Linda Kusumawati Lisda Handayani Maimanah Malahayati, Siti Mambang Mariani Mariani Marini, Elysa Marini Marsela, Mira Maryati Mayna, Mayna Meidiantri Meldawati Meldawati Melliya Pitriyadi Muhammad Zulfadhilah Mutiara R, Chatrine Indri Nastiti, Kunti Nasution, Annio Indah Lestari Nathalia, Ayu Nita Hestiyana Nita Hestiyana, Nita Nito, Paul Joae Brett Noor Adha Anggreyini Noorhidayah Noorhidayah Normukhlisa Normukhlisa Noval Noval Noval Novalia Widiya Ningrum, Novalia Widiya Novita Dewi Iswandari Nur Hikmah Mutmainnah Nur Lathifah Nur Lathifah Nurhikmah Nurul Hidayah Nurul Hidayah NURUL HIDAYAH Nurul Hidayah Paul Joae Brett Nito Priscilla, Ika Putri Vidiasari Darsono, Putri Vidiasari Rahman, Topan Aditya Rahmatullah, Bahbibi Ramadhan, Puteri Wulan Raudhatul Jannah Reni Ovilla Yulianti Ririn Safitri Sakiah Salmarini, Zulliati Sari, Afrina Aulia Sari, Dina Aulia Sari, Rahmadah Sarkiah Silpia, Nana Sismeri Dona Siti Mardiyah Subhannur Rahman Suwaibah, Suwaibah Syahr, Alfi Topan Aditya Rahman Tya Ayu Widyasari Umi Hanik Fetriyah Umi hanik Fetriyah, Umi hanik Wahyuni Wahyuni Winda Maolinda Wulan Ramadhan, Puteri Yayuk Puji Lestari Yuniarti, Ainun Yuniarty, Stefany Zakiah Zakiah Zulliati