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All Journal Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Jurnal Kesehatan Reproduksi Jurnal Kebidanan Nusantara Medical Science Journal Jurnal Ilmiah Kedokteran Wijaya Kusuma Health Notions Jurnal Surya Medika Jurnal Gizi dan Dietetik Indonesia (Indonesian Journal of Nutrition and Dietetics) JNKI (Jurnal Ners dan Kebidanan Indonesia) (Indonesian Journal of Nursing and Midwifery) Jurnal Gizi Klinik Indonesia Jurnal Kesehatan Reproduksi Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) Media Ilmu Kesehatan Journal of Maternal and Child Health Jurnal Kesehatan Ibu dan Anak Jurnal Medikes (Media Informasi Kesehatan) Journal of Community Empowerment for Health Journal of Nursing and Health (JNH) Akper Yakpermas Banyumas JURNAL KESEHATAN SAMODRA ILMU Berita Kedokteran Masyarakat Jurnal Kebidanan dan Keperawatan Aisyiyah Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Detty Siti Nurdiati
Department Of Obstetrics And Gynecology, Faculty Of Medicine, Public Health And Nursing, Universitas Gadjah Mada/Dr. Sardjito General Hospital, Yogyakarta, Indonesia
Humanities Biochemistry, Genetics & Molecular Biology Dentistry Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Nursing Public Health Other

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Machine Learning for Preeclampsia Prediction: Enhancing Screening in Primary Health Care Amelia, Dwirani; Adisasmita, Asri; Siregar, Kemal N; Nurdiati, Detty Siti
Kesmas Vol. 20, No. 2
Publisher : UI Scholars Hub

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Abstract

Preeclampsia is a leading cause of maternal morbidity and mortality worldwide, with early detection being critical for reducing adverse outcomes. This study aimed to develop a machine learning model for predicting the risk of preeclampsia using readily available maternal characteristics such as body mass index, mean arterial pressure, and clinical history of hypertension or diabetes mellitus. Secondary data from 2,250 pregnancies were analyzed, addressing challenges such as missing data and class imbalance through preprocessing. Various algorithms, including support vector machines, random forest, and logistic regression, were evaluated. Herein, a support vector machines model with threshold adjustment showed the best performance, with a sensitivity of 67.5%, specificity of 57.23%, and an area under the curve of 0.68. These findings indicated the promising potential of scalable and interpretable prediction models for enhancing preeclampsia screening in primary health care settings. However, further refinement and validation of the proposed model are required for broader clinical integration to improve maternal and neonatal health outcomes.
Relationship between unintended pregnancy and the first antenatal care visit Cahyawati, Safitri Putri; Hakimi, Mohammad; Nurdiati, Detty Siti
BKM Public Health and Community Medicine Vol 37 No 04 (2021)
Publisher : Universitas Gadjah Mada

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Purpose: The first timely antenatal care can detect complications during early pregnancy, such as hemorrhage, anemia, diabetes, and other infectious diseases. The province of Papua has the three lowest antenatal care K1 coverage areas, at 56.02%, and Jayapura city has an antenatal care K1 coverage of 51.49%. Methods: This research employed a mixed-methods approach using a sequential explanatory design. In the first stage, a quantitative approach was conducted using a cross-sectional research design. In the second stage, a qualitative approach was applied through in-depth interviews. Results: Multivariable analysis showed that unintended pregnancies were 2.8 times more likely to result in delayed first antenatal care visits compared to planned pregnancies (AOR 2.62; 95% CI: 1.23–6.25), after controlling for partner/spouse support, exposure to mass media, gestational interval, and education level. Interview findings revealed that other contributing factors to delayed first antenatal care visits included low awareness about the importance of timely care, being too busy, and a lack of knowledge regarding the benefits of antenatal care. Conclusion: The importance of family planning counseling for reproductive women is to manage and plan their pregnancies.
ANALISIS INDIKASI OPERASI SESAR ULANG PADA KLASIFIKASI ROBSON GRUP V DI RSUP SARDJITO TAHUN 2020-2022 Wulandari, Andhyta Ratih; Rachman, Irwan Taufiqur; Nurdiati, Detty Siti
JURNAL KESEHATAN REPRODUKSI Vol 11, No 2 (2024)
Publisher : Fakultas Kedokteran, Kesehatan Masyarakat dan Keperawatan UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkr.98639

Abstract

Latar Belakang: Operasi sesar meningkat di seluruh dunia dalam beberapa tahun terakhir, yang turut meningkatkan angka operasi sesar ulang. Organisasi kesehatan dunia (WHO) menyatakan bahwa rasio operasi sesar ulang yang optimal adalah 50-60%, namun demikian angka operasi sesar ulang melebihi angka yang ditetapkan oleh WHO. Pada tahun 2015, WHO menetapkan standar sistem Klasifikasi Robson untuk memantau tingkat operasi sesar.Tujuan: Memahami dinamika operasi sesar di RSUP Dr. Sardjito Yogyakarta selama periode 2020-2022, dengan fokus pada karakteristik obstetri dari ibu yang menjalani operasi sesar ulang serta menilai kesesuaian angka operasi sesar berdasarkan analisis tipe populasi dan penilaian kualitas data menggunakan Klasifikasi Robson.Metode: Penelitian kuantitatif retrospektif menggunakan data sekunder. Penelitian melibatkan 336 subjek yang memenuhi kriteria inklusi dalam klasifikasi Robson grup V. Pengumpulan data dilakukan dari data sekunder rekam medis menggunakan instrumen Case Report Form (CRF) lalu dilakukan analisis data, yang mencakup analisis univariat, bivariat dan multivariat.Hasil dan Pembahasan: Didapatkan sebanyak 336 subyek penelitian, dengan 302 subyek melakukan persalinan operasi sesar ulang (89.9%) dan 34 subyek melakukan persalinan vaginal birth after Caesarean (VBAC) (10.1%). Karakteristik pasien yang berpengaruh secara signifikan terhadap kejadian operasi sesar ulang yaitu IMT pasien, onset persalinan dan taksiran berat janin (TBJ), sedangkan indikasi yang secara statistik signifikan berhubungan dengan persalinan operasi sesar ulang adalah jumlah riwayat operasi sesar, PAS/PPT, partus tak maju, PEB dan covid-19.Kesimpulan: Kejadian persalinan operasi sesar ulang lebih tinggi pada pasien dengan onset persalinan rencana operasi dan induksi. Pasien dengan riwayat operasi sesar >1 kali mengalami kejadian persalinan operasi sesar ulang yang lebih tinggi walau tanpa indikasi operasi sesar lainnya. Karakteristik subyek yang secara statistik memiliki hubungan yang signifikan dengan persalinan operasi sesar ulang yaitu IMT, onset persalinan dan TBJ.
Co-Authors - Pujiatun Adi Rahmawan Adi Rahmawan, Adi Agung Dewanto Ahsanudin Attamimi Alifia Salsabila Amdad Amdad Amelia, Dwirani Anggoro Budi Hartopo Anindya K Zahra Anis Widyasari Anjarwati Anjarwati Anjarwati Anjarwati, Anjarwati Ari Purwoko Widji Utomo Armalya Pritazahra Asri C. Adisasmita Atik Tri Ratnawati Atik Triratnawati Budi Arianto Budi Arianto, Budi Cahyawati, Safitri Putri Darwin Nasution Depari, Irmanda Terbelluh Sembiring Dessy Hertati Dewanto, Agung Dewi Rokhanawati Dewi Rokhanawati, Dewi Dhesi Ari Astuti, Dhesi Ari Dhesy Ari Astuti Dhesy Ari Astuti, Dhesy Ari Diah Rumekti Hadiati Djaswadi Dasuki Dyah Wulan Anggrahini Eka Rati Astuti Ely Yulianus Musa Limbu Emy Huriyati Erna Ashlihah Rochmat Eugenius Phyowai Ganap Fajarini, Yuniar Ika Fauzan Achmad Maliki Febriana Sari Febriana Sari, Febriana Fika Humaeda Assilmi Fitri Haryanti Fitriana K, Herlin Fitriana K., Herlin Ganap, Eugenius Phyowai Hamam Hadi Herlin Fitriana K Husnah Husnah Indria Laksmi Gamayanti Indria Laksmi Gamayanti Intan Agustina Anggraeni Irmitasari Irmitasari Irmitasari, Irmitasari Irwan Taufiqur Rachman Iswanti, Tutik Iswanti1, Tutik Johariyah - Johariyah Juli Sitorus Kamsiah . Kartika Wahyuningtyas Utami Kemal N. Siregar Khairina Hashifah Khrisnamurti, Sinta Kristiana Tri Warsini Kusuma, Raden Aditya Lidia Aditama Putri Linda Shintiana Lisma Evareny, Mohammad Hakimi, Retna Siwi Padmawati Lucia Kris Dinarti Mae Sri Hartati Wahyuningsih Mohammad Hakimi Muhammad Gahan Satwiko Muhammad Nurhadi Rahman Muhammad Reyhan Hadwiono Musa Limbu, Ely Yulianus Nasution, Darwin Noer Saudah Noer Saudah, Noer Nu Pravitasari Nur Falah Setyawati Nur Khamidah Nuring Pangastuti Ori Pertami Enardi Ova Emilia Pramudji Hastuti, Pramudji Prihesti, Uce Siswi Priyatin Sulistyowati Rachmawati Widyaningrum Ratna Widhiastuti Retty Nirmala Santiasari . Ririn Ariyanti Ririn Ariyanti, Ririn Saputro, Christina Sarah Ayu Andari Setiarsih, Dini Setiyarini, Wahyu Ikka Shintiana, Linda Sinta Khrisnamurti Sitorus, Juli Sitorus, Melina Ebtarina Sitorus, Melina Ebtarina Sri Juana Sri Restu Sulchan Sofoewan Sulchan Sofoewan, Sulchan Sulistyaningsih, Sulistyaningsih - Sumarni Sumarni Sumarni Sumarni Tutik Iswanti Uce Siswi Prihesti Untung S. Widodo Utomo, Muhammad Wahyu Vera Dewanto Wahyu Ikka Setiyarini Wahyu Ikka setyarini Wahyu Widayati Wahyu Widayati, Wahyu Widyaningrum, Rachmawati Widyawati Widyawati Widyawati Widyawati Wiwin Lismidiati Wulandari, Andhyta Ratih Yanuarti Petrika Yayi Suryo Prabandari Yuniar Ika Fajarini