AIMC Topic: Western Australia

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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach.

Journal of medical Internet research Apr 30, 2025
BACKGROUND: Perinatal depression and anxiety significantly impact maternal and infant health, potentially leading to severe outcomes like preterm birth and suicide. Aboriginal women, despite their resilience, face elevated risks due to the long-term ...
Western Australia Protective Factors Artificial Intelligence Humans Risk Factors Pregnancy Adult Female Mental Health Mothers
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Machine learning-based prediction of transfusion.

Transfusion Jun 28, 2020
BACKGROUND: The ability to predict transfusions arising during hospital admission might enable economized blood supply management and might furthermore increase patient safety by ensuring a sufficient stock of red blood cells (RBCs) for a specific pa...
Adult Male Blood Transfusion Predictive Value of Tests Western Australia Decision Making, Computer-Assisted Machine Learning Retrospective Studies Female Hospitalization Humans
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Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015.

Scientific reports Mar 24, 2020
Quantification of stillbirth risk has potential to support clinical decision-making. Studies that have attempted to quantify stillbirth risk have been hampered by small event rates, a limited range of predictors that typically exclude obstetric histo...
Stillbirth Prenatal Care Reproductive History Machine Learning Risk Assessment Pregnancy Complications Algorithms Cohort Studies Pregnancy Maternal Age Humans Socioeconomic Factors Western Australia Female Live Birth
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Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

ESC heart failure Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Male Time Factors ROC Curve Follow-Up Studies Cause of Death Heart Failure Quality Indicators, Health Care Female Western Australia Humans Aged Patient Readmission Aged, 80 and over Machine Learning Survival Rate Retrospective Studies
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Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care.

JAMA network open Sep 7, 2018
IMPORTANCE: There has been wide interest in using artificial intelligence (AI)-based grading of retinal images to identify diabetic retinopathy, but such a system has never been deployed and evaluated in clinical practice.
Adult Research Design Sensitivity and Specificity Female Male Humans Middle Aged Aged Diabetic Retinopathy Adolescent Aged, 80 and over Artificial Intelligence Primary Health Care Western Australia
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Midwifery students' understanding and knowledge of normal birth before 'delivery' of curriculum.

Midwifery Dec 26, 2017
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regarding midwifery and normal birth, that newly enrolled midwifery students hold at the commencement of their midwifery education.
Male Middle Aged Surveys and Questionnaires Clinical Competence Humans Female Adult Delivery, Obstetric Students, Nursing Education, Nursing, Baccalaureate Knowledge Bases Midwifery Curriculum Nurse Midwives Western Australia
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Intensive Care Units Female Aged Aged, 80 and over Artificial Intelligence Machine Learning Retrospective Studies Severity of Illness Index Length of Stay Logistic Models Operative Time Adult Male Middle Aged Risk Assessment Humans Western Australia Decision Trees Iatrogenic Disease Early Diagnosis Predictive Learning Models Cross Infection
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Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.

The Australian journal of rural health Apr 1, 2025
OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where communities rely on outdated primary care-based retinal cameras. Deep learning systems (DLS) may improve access to screening, however, require validation ...
Diabetic Retinopathy Artificial Intelligence Prospective Studies Mass Screening Female Telemedicine Humans Aged Western Australia Adult Health Services, Indigenous Male Middle Aged
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