AIMC Topic: Risk Factors

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Epidemiology and risk factors of Clonorchis sinensis infection in the mountainous areas of Longsheng County, Guangxi: insights from automated machine learning.

Parasitology research Mar 5, 2025
Clonorchis sinensis (C. sinensis) is mainly prevalent in Northeast and South China, with Guangxi being the most severely affected region. This study aimed to evaluate the prevalence and identify the risk factors of C. sinensis infection in Longsheng ...
Adolescent Child Feces Fishes Clonorchiasis Clonorchis sinensis Middle Aged Prevalence China Surveys and Questionnaires Young Adult Adult Animals Male Humans Machine Learning Female Risk Factors Aged
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Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study.

JMIR formative research Mar 5, 2025
BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive care unit (ICU) is high, reaching up to 77%, and has been associated with increased mortality rates. Therefore, early identification of patients at high...
Burns Delirium Female Risk Factors Aged Adult Male Middle Aged Risk Assessment ROC Curve Humans Machine Learning Retrospective Studies Intensive Care Units
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An early prediction model for gestational diabetes mellitus created using machine learning algorithms.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Mar 4, 2025
OBJECTIVE: To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnancy through an analysis of demographic and clinical data, and to develops a machine-learning-based prediction model to enhance early diagnosis and inte...
Algorithms ROC Curve Retrospective Studies Risk Factors Predictive Value of Tests Body Mass Index Pregnancy Humans Young Adult Female Diabetes, Gestational Machine Learning Adult Early Diagnosis Risk Assessment
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Decision Support Techniques Databases, Factual Retrospective Studies Female Humans Machine Learning Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Risk Factors Aged Male Middle Aged Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Reoperation Conversion to Open Surgery Risk Factors Aged Humans Risk Assessment Male Machine Learning Liver Neoplasms Middle Aged Retrospective Studies Laparoscopy Female Hepatectomy
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Prediction of clinical risk factors in pregnancy using optimized neural network scheme.

Placenta Mar 4, 2025
Women should be aware of prenancy related health issues. A user-friendly model is developed in which the patients can use as well as clinicians to determine the risks associated with foetal development inside the womb, birth weight, whose effects are...
Algorithms Humans Pregnancy Neural Networks, Computer Female Ultrasonography, Prenatal Risk Factors Birth Weight Fetal Weight
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Predictive Value of Tests Aortic Aneurysm, Thoracic Retrospective Studies Blood Vessel Prosthesis Implantation Endovascular Procedures Female Risk Factors Risk Assessment Humans Aged, 80 and over Aged Postoperative Complications Male Machine Learning Treatment Outcome Databases, Factual
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Machine Learning-Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study.

Journal of medical Internet research Mar 3, 2025
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction surgery. It is important to identify the risk of postoperative early complications for patients with intestinal obstruction at a sufficiently early s...
Aged Adult Male Middle Aged Machine Learning Humans Retrospective Studies Postoperative Complications Female ROC Curve Risk Factors Intestinal Obstruction
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Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

BMJ open Mar 3, 2025
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.
Humans Machine Learning Postpartum Hemorrhage Pregnancy Female Risk Factors Models, Statistical
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Machine learning-based risk predictive models for diabetic kidney disease in type 2 diabetes mellitus patients: a systematic review and meta-analysis.

Frontiers in endocrinology Mar 3, 2025
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of developing and progressing diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). However, the performance of these models still ...
Diabetes Mellitus, Type 2 Diabetic Nephropathies Humans Machine Learning Risk Factors Risk Assessment
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