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Assessment of EMR ML Mining Methods for Measuring Association between Metal Mixture and Mortality for Hypertension.

High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension Aug 12, 2024
INTRODUCTION: There are limited data available regarding the connection between heavy metal exposure and mortality among hypertension patients.
Humans Machine Learning Female Risk Factors Prognosis Electronic Health Records United States Hypertension Predictive Value of Tests Data Mining Metals, Heavy Middle Aged Risk Assessment Nutrition Surveys Aged Adult Male
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Application of machine learning to predict in-hospital mortality after transcatheter mitral valve repair.

Surgery Aug 9, 2024
INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for patients at high risk for traditional open repair. We sought to develop dynamic machine-learning risk prediction models for in-hospital mortality after t...
Risk Assessment Hospital Mortality United States Heart Valve Prosthesis Implantation Cardiac Catheterization Mitral Valve Mitral Valve Insufficiency Aged, 80 and over Male Middle Aged Retrospective Studies Female Aged Humans Machine Learning
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Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.

The Milbank quarterly Aug 8, 2024
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made ...
Algorithms Delivery of Health Care United States Humans Artificial Intelligence Machine Learning Bias Population Health
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From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Journal of computational biology : a journal of computational molecular cell biology Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
COVID-19 Forecasting SARS-CoV-2 Humans Bayes Theorem Machine Learning Canada United States
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Transforming Health Care Landscapes: The Lever of Radiology Research and Innovation on Emerging Markets Poised for Aggressive Growth.

Journal of the American College of Radiology : JACR Aug 2, 2024
Advances in radiology are crucial not only to the future of the field but to medicine as a whole. Here, we present three emerging areas of medicine that are poised to change how health care is delivered-hospital at home, artificial intelligence, and ...
Artificial Intelligence Forecasting Delivery of Health Care Precision Medicine Humans Health Care Sector Biomedical Research United States Radiology
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Antidiscrimination Law Meets Artificial Intelligence-New Requirements for Health Care Organizations and Insurers.

JAMA health forum Aug 2, 2024
Insurance, Health Humans Artificial Intelligence United States
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Enhancing Postmarketing Surveillance of Medical Products With Large Language Models.

JAMA network open Aug 1, 2024
IMPORTANCE: The Sentinel System is a key component of the US Food and Drug Administration (FDA) postmarketing safety surveillance commitment and uses clinical health care data to conduct analyses to inform drug labeling and safety communications, FDA...
Product Surveillance, Postmarketing United States Natural Language Processing United States Food and Drug Administration Humans Electronic Health Records
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Machine Learning Predicts Patients With New-onset Diabetes at Risk of Pancreatic Cancer.

Journal of clinical gastroenterology Aug 1, 2024
BACKGROUND: New-onset diabetes represent a high-risk cohort to screen for pancreatic cancer.
Risk Factors Aged Sensitivity and Specificity Male Machine Learning Retrospective Studies Female United States Diabetes Mellitus Pancreatic Neoplasms Predictive Value of Tests Middle Aged Risk Assessment Cohort Studies Humans
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Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA Labeling.

Drug safety Jul 31, 2024
INTRODUCTION: The accurate identification and timely updating of adverse reactions in drug labeling are crucial for patient safety and effective drug use. Postmarketing surveillance plays a pivotal role in identifying previously undetected adverse ev...
Product Surveillance, Postmarketing Drug Labeling Drug-Related Side Effects and Adverse Reactions Humans United States Food and Drug Administration Artificial Intelligence Adverse Drug Reaction Reporting Systems United States
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Machine Learning Methods in Classification of Prolonged Radiation Therapy in Oropharyngeal Cancer: National Cancer Database.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jul 31, 2024
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of prolonged radiation treatment duration (RTD), defined as greater than 50 days, for patients with oropharyngeal squamous cell carcinoma (OPSCC).
Male Middle Aged Risk Assessment Female Humans Databases, Factual Carcinoma, Squamous Cell Logistic Models Duration of Therapy Aged United States Machine Learning Retrospective Studies Oropharyngeal Neoplasms Algorithms
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