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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...
United States Department of Veterans Affairs Veterans United States Department of Defense Suicide, Completed Predictive Learning Models Psychological Well-Being Adolescent Suicide Prevention United States Natural Language Processing Middle Aged Risk Assessment Case-Control Studies Aged, 80 and over Humans Young Adult Electronic Health Records Adult Female Male Aged
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Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.

Computers in biology and medicine Mar 5, 2025
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient management and quality improvement in healthcare. However, achieving accurate predictions requires the integration of multimodal clinical data, includi...
Humans Neural Networks, Computer Middle Aged Electrocardiography Electronic Health Records Percutaneous Coronary Intervention Female Aged Male
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Development of Hybrid radiomic Machine learning models for preoperative prediction of meningioma grade on multiparametric MRI.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Mar 5, 2025
PURPOSE: To develop and compare machine learning models for distinguishing low and high grade meningiomas on multiparametric MRI.
Meningeal Neoplasms Machine Learning Retrospective Studies Multiparametric Magnetic Resonance Imaging Female Magnetic Resonance Imaging Aged Neoplasm Grading Meningioma Adult Radiomics Humans Male Middle Aged
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Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit.

CPT: pharmacometrics & systems pharmacology Mar 5, 2025
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active transporter (DaT) scans without evidence of dopaminergic deficits (SWEDD), most of which will never develop PD. Leveraging Movement Disorders Society U...
Humans Middle Aged Parkinson Disease Dopamine Dopamine Plasma Membrane Transport Proteins Neural Networks, Computer Female Aged Male
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Determining the Importance of Lifestyle Risk Factors in Predicting Binge Eating Disorder After Bariatric Surgery Using Machine Learning Models and Lifestyle Scores.

Obesity surgery Mar 5, 2025
BACKGROUND: This study was conducted to assess the association between lifestyle risk factors (LRF) and odds of binge eating disorder (BED) 2 years post laparoscopic sleeve gastrectomy (LSG) using lifestyle score (LS) and machine learning (ML) models...
Life Style Binge-Eating Disorder Female Risk Factors Adult Male Middle Aged Humans Exercise Machine Learning Bariatric Surgery Obesity, Morbid
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Evaluating the role of AI chatbots in patient education for abdominal aortic aneurysms: a comparison of ChatGPT and conventional resources.

ANZ journal of surgery Mar 5, 2025
BACKGROUNDS: Abdominal aortic aneurysms (AAA) carry significant risks, yet patient understanding is often limited, with online resources typically low quality. ChatGPT, an artificial intelligence (AI) chatbot, presents a new frontier in patient educa...
Patient Education as Topic Internet Comprehension Humans Male Artificial Intelligence Female Generative Artificial Intelligence Australia Aortic Aneurysm, Abdominal
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A machine learning approach to predict treatment efficacy and adverse effects in major depression using CYP2C19 and clinical-environmental predictors.

Psychiatric genetics Mar 5, 2025
BACKGROUND: Major depressive disorder (MDD) is among the leading causes of disability worldwide and treatment efficacy is variable across patients. Polymorphisms in cytochrome P450 2C19 (CYP2C19) play a role in response and side effects to medication...
Alleles Antidepressive Agents Cytochrome P-450 CYP2C19 Male Middle Aged Depressive Disorder, Major Treatment Outcome Humans Machine Learning Female Adult Cross-Sectional Studies
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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...
Male Electronic Health Records Humans Middle Aged Female Patient Readmission Risk Assessment Machine Learning Aged Patient Discharge Retrospective Studies Adult
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Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patients' Evaluations of Medical Consultations: Randomized Factorial Experiment.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: The increasing use of artificial intelligence (AI) in medical diagnosis and consultation promises benefits such as greater accuracy and efficiency. However, there is little evidence to systematically test whether the ideal technological p...
Middle Aged Physician-Patient Relations Referral and Consultation Humans Social Stigma Artificial Intelligence Physicians Female Adult Male
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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.

Scientific reports Mar 5, 2025
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retros...
Female Risk Factors Aged Adult Humans Retrospective Studies Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Recurrence, Local Liver Transplantation Male Middle Aged Deep Learning China
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