Systematic extraction of diagnostic data items for common high-risk pregnancies using Delphi technique

K Deldar, SM Tara, M Jangi - Medical Technologies Journal, 2017 - medtech.ichsmt.org
Methods A multi-stage cross-sectional study was conducted to exploit the diagnostic items
for the most common high-risk pregnancies in three obstetrics and gynecology department …

Analysis of pregnancy risk factors for pregnant women using analysis data based on expert system

E Krisnanik, K Tambunan… - … , Multimedia, Cyber and …, 2019 - ieeexplore.ieee.org
Pregnant women may in a very high risk condition if there are some disorders that occur
during her pregnancy. The causes of this condition are: 1) Do not pay attention to the …

[HTML][HTML] Identifying and Determining Effective Key Performance Indicators in the Development of Maternity Dashboard

A Hosseini, R Shakiba, N Ramezanghorbani… - Shiraz E-Medical …, 2023 - brieflands.com
Background: The well-being of both the mother and her baby can be influenced by the
quality of the care they receive during pregnancy, childbirth, and postpartum. It's crucial to …

What's Important in Maternal and Infant Integrated Healthcare? Identifying Relevant Learning Contents for Medical Students through a Delphi Study

D Soemantri, IS Widyahening, A Findyartini - 2016 - seajme.sljol.info
Background: Maternal and infant health is one of the targets of the Millennium Development
Goals and this leads to the importance of equipping undergraduate medical students with …

[PDF][PDF] Knowledge of antenatal women on selected warning signs of pregnancy with a view to develop an information booklet

P Fernandes - Journal of International Academic Research for …, 2014 - academia.edu
Maternal mortality still remains a major challenge to health systems worldwide. The risk of
dying from pregnancy or child birth in developing countries of the world is very high …

[HTML][HTML] Using machine learning to predict complications in pregnancy: a systematic review

A Bertini, R Salas, S Chabert, L Sobrevia… - … in bioengineering and …, 2022 - frontiersin.org
Introduction: Artificial intelligence is widely used in medical field, and machine learning has
been increasingly used in health care, prediction, and diagnosis and as a method of …

Expert System Application for Early Warning Detection of Preeclampsia Risk in the Third Trimester of Pregnancy Using the Forward Chaining Method

K Kamiati, F Umar, S Silvah… - … Journal of Health …, 2023 - jurnal.unismuhpalu.ac.id
During pregnancy there will be changes in the body both physiologically and
psychologically. The body's systems will coordinate with each other to maintain pregnancy …

Detecting of Preeclampsia by expert system: A case study in Tehran university of medical sciences hospitals

R Salari, M Langarizadeh, K Bahaaddin Beigi… - Payavard …, 2016 - payavard.tums.ac.ir
Materials and Methods: This was a cross-sectional study which resulted in developing a new
system. The study population consisted of all patients admitted to three Maternity hospitals …

Decision Making System to Determine Childbirth Process with Naï ve Bayes and Forward Chaining Methods

PL Kumalasari, R Arifudin… - Scientific Journal of …, 2020 - journal.unnes.ac.id
Childbirth is the last stage before the infant comes into the world. There may be incidents
that could cause death in the process of childbirth for mothers and infants. Lack of …

[HTML][HTML] Conceptual Model of an Expert System from Systematic Literature Review: Mental Health Screening in Pregnancy During the COVID-19 Pandemic

DN Sari, KN Siregar, H Pratomo - Women, Midwives and Midwifery, 2022 - wmmjournal.org
Background: The COVID-19 pandemic has triggered increased anxiety and depression in
pregnant women, while the ability of health workers to detect early symptoms of anxiety and …