AIMC Topic: Risk Factors

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Interpretable Machine Learning approach for predicting clinically significant suicide risk: A case study of patients with major depressive disorder in Greece.

Psychiatry research Jun 20, 2025
Suicide prevention is currently a global public health priority, since suicide has been a prevalent cause of death or potential loss of life. Multiple factors contribute to suicide risk, such as depression and a history of attempted suicide among oth...
Suicide Greece Risk Assessment Depressive Disorder, Major Suicide, Attempted Suicidal Ideation Humans Machine Learning Female Risk Factors Young Adult Adult Male Middle Aged
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

JMIR cancer Jun 19, 2025
BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young Americans. Accurate early prediction and a thorough understanding of the risk factors for early-onset colorectal cancer (EOCRC) are vital for effective preven...
Colorectal Neoplasms Male Middle Aged Case-Control Studies Age Factors Early Detection of Cancer Age of Onset Machine Learning Electronic Health Records Female Risk Factors Adult Humans
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Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

BMJ open Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Emergency Service, Hospital Patient Readmission Middle Aged Humans Risk Assessment Female Machine Learning Taiwan Retrospective Studies Risk Factors Pneumonia Aged Aged, 80 and over Male
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Malaysia Humans Bayes Theorem Machine Learning Heart Disease Risk Factors Algorithms Male Female Cardiovascular Diseases Risk Factors Middle Aged Aged Risk Assessment Adult Support Vector Machine
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas Jun 16, 2025
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfun...
Humans Artificial Intelligence Primary Health Care Fatty Liver Body Mass Index Decision Trees Metabolic Syndrome Algorithms Young Adult Female Risk Factors Adult Aged Cross-Sectional Studies Male Middle Aged
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

PloS one Jun 12, 2025
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care unit (ICU) settings, leveraging preoperative and postoperative clinical variables, and to identify k...
Logistic Models Cardiac Surgical Procedures Aged Humans Acute Kidney Injury Male Algorithms Intensive Care Units Middle Aged Databases, Factual Female Postoperative Complications Retrospective Studies Risk Factors ROC Curve
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Use of machine learning for real-time antibiotic treatment adjustment in high-risk patients with CRGNB infection.

Computer methods and programs in biomedicine Jun 11, 2025
BACKGROUND: Infections caused by carbapenem resistant gram-negative bacilli (CRGNB) are associated with high mortality and pose a great challenge for clinical treatment. We aim to identify patients at high risk for CRGNB as early as possible and aler...
Humans Machine Learning Anti-Bacterial Agents Adult Male Middle Aged Carbapenems Gram-Negative Bacterial Infections Drug Resistance, Bacterial Female Risk Factors Aged
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Identification of neurological text markers associated with risk of stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Risk Assessment Time Factors Predictive Value of Tests Natural Language Processing Emergency Service, Hospital Aged Aged, 80 and over Male Middle Aged Stroke Data Mining Academic Medical Centers Humans Prognosis Retrospective Studies Electronic Health Records Female Reproducibility of Results Risk Factors
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Identifying patients at risk of increased health utilization following lumbar spine surgery.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 11, 2025
BACKGROUND: Adequate preoperative identification of patients at risk of significant healthcare utilization after surgery could help guide preoperative decision-making as well as postoperative patient management. While several studies have proposed me...
Machine Learning Retrospective Studies Female Risk Factors Aged Humans Patient Acceptance of Health Care Cohort Studies Spinal Fusion Lumbar Vertebrae Spinal Stenosis Decompression, Surgical Adult Male Middle Aged Postoperative Complications
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28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

Clinical and experimental medicine Jun 11, 2025
To develop and validate a machine learning prediction model for 28-day all-cause mortality in patients with alcoholic cirrhosis using data from the MIMIC-IV database. The data of 2134 patients diagnosed with alcoholic cirrhosis (AC) were obtained fro...
Liver Cirrhosis, Alcoholic Aged Adult Male Middle Aged ROC Curve Humans Machine Learning Female Risk Factors
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