AIMC Topic: Risk Assessment

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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Hepatectomy Nutritional Status Liver Failure Aged Male Middle Aged Nutrition Assessment Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Risk Assessment Postoperative Complications Machine Learning Algorithms Female Risk Factors Humans
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Utilizing Machine Learning Techniques to Predict Negative Remodeling in Uncomplicated Type B Intramural Hematoma.

Annals of vascular surgery Mar 5, 2025
BACKGROUND: To evaluate the effectiveness of machine learning (ML) techniques in predicting negative remodeling in uncomplicated Stanford type B intramural hematoma (IMHB) during the acute phase.
Predictive Value of Tests Hematoma Vascular Remodeling Aortic Diseases Aged Male Retrospective Studies Middle Aged Risk Assessment Humans Female Machine Learning Risk Factors
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Middle Aged Risk Assessment Case-Control Studies Adolescent Natural Language Processing United States Department of Veterans Affairs Veterans Suicide Prevention United States Aged, 80 and over Young Adult Adult Male Humans United States Department of Defense Electronic Health Records Suicide, Completed Female Predictive Learning Models Aged Psychological Well-Being
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Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study.

JMIR medical informatics Mar 5, 2025
BACKGROUND: Unplanned readmissions increase unnecessary health care costs and reduce the quality of care. It is essential to plan the discharge care from the beginning of hospitalization to reduce the risk of readmission. Machine learning-based readm...
Middle Aged Risk Assessment Patient Discharge Humans Patient Readmission Machine Learning Retrospective Studies Electronic Health Records Female Aged Adult Male
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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...
Risk Factors Aged Adult Male ROC Curve Humans Middle Aged Retrospective Studies Burns Machine Learning Risk Assessment Delirium Intensive Care Units Female
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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...
Machine Learning Algorithms ROC Curve Retrospective Studies Body Mass Index Risk Factors Humans Pregnancy Predictive Value of Tests Young Adult Female Adult Diabetes, Gestational Risk Assessment Early Diagnosis
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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...
Hepatectomy Male Middle Aged Risk Assessment Liver Neoplasms Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Retrospective Studies Carcinoma, Hepatocellular Female Humans Treatment Outcome Risk Factors Aged Machine Learning Decision Support Techniques Databases, Factual
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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...
Female Risk Factors Aged Male Middle Aged Humans Machine Learning Retrospective Studies Reoperation Conversion to Open Surgery Risk Assessment Liver Neoplasms Laparoscopy Hepatectomy
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Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction Using A Systematic Review and Meta-Analysis.

Journal of the American College of Radiology : JACR Mar 4, 2025
PURPOSE: Accurately identifying individuals who are at high risk of lung cancer is critical to optimize lung cancer screening with low-dose CT (LDCT). We sought to compare the performance of traditional regression models and artificial intelligence (...
Humans Artificial Intelligence Tomography, X-Ray Computed Risk Assessment Lung Neoplasms Regression Analysis
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Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides.

Regulatory toxicology and pharmacology : RTP Mar 4, 2025
The skin is the main route of exposure to plant protection products for operators, workers, residents, and bystanders. Assessing dermal absorption is key for evaluating pesticide exposure. The initial approach to risk assessment involves using defaul...
Humans In Vitro Techniques Skin Machine Learning Bayes Theorem Pesticides Databases, Factual Skin Absorption Risk Assessment
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