AIMC Topic: Smoking

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Machine learning computational model to predict lung cancer using electronic medical records.

Cancer epidemiology Jul 24, 2024
BACKGROUND: Lung cancer (LC) screening using low-dose computed tomography (CT) is recommended according to standard risk criteria or personalized risk calculators. Machine learning (ML) models that can predict disease risk are an emerging method in m...
Humans Machine Learning Risk Factors Aged Adult Male Tomography, X-Ray Computed Electronic Health Records Female Lung Neoplasms Early Detection of Cancer Smoking Middle Aged Risk Assessment Case-Control Studies
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Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.

BMC medical informatics and decision making Jul 22, 2024
OBJECTIVE: To develop and validate machine learning models for predicting coronary artery disease (CAD) within a Taiwanese cohort, with an emphasis on identifying significant predictors and comparing the performance of various models.
Age Factors Lipids Taiwan Male Middle Aged Risk Assessment Heart Disease Risk Factors Early Diagnosis Smoking Alcohol Drinking Coronary Artery Disease Biological Specimen Banks Sex Factors Humans Machine Learning Biomarkers Aged Retrospective Studies Adult Female
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Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

BMC medical research methodology May 17, 2024
BACKGROUND: Smoking is a critical risk factor responsible for over eight million annual deaths worldwide. It is essential to obtain information on smoking habits to advance research and implement preventive measures such as screening of high-risk ind...
Smoking Middle Aged Denmark Natural Language Processing Humans Neural Networks, Computer Female Male Machine Learning Electronic Health Records
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Machine learning based assessment of preclinical health questionnaires.

International journal of medical informatics Oct 21, 2023
BACKGROUND: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic system...
Tobacco Smoking Surveys and Questionnaires Smoking Pregnancy Complications Pregnancy Humans Female Machine Learning Risk Assessment
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Influence of Voice Interactive Educational Robot Combined with Artificial Intelligence for the Development of Adolescents.

Computational intelligence and neuroscience Oct 6, 2022
In the context of multicultural information, to explore and analyze the use effect of voice interactive educational robot in the classroom of adolescent students, and the physical and mental impact of movie characters on adolescent students, and to l...
Adolescent Adolescent Behavior Robotics Smoking Motion Pictures Artificial Intelligence Reproducibility of Results Surveys and Questionnaires Humans
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Mapping the evidence on identity processes and identity-related interventions in the smoking and physical activity domains: a scoping review protocol.

BMJ open Jul 13, 2022
INTRODUCTION: Smoking and insufficient physical activity (PA), independently but especially in conjunction, often lead to disease and (premature) death. For this reason, there is need for effective smoking cessation and PA-increasing interventions. I...
Delivery of Health Care Exercise Mass Screening Smoking Scoping Reviews As Topic Humans Artificial Intelligence Research Design
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Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.

PloS one May 11, 2022
To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjusted for precision and confounding variables using standard regression approaches. The outcome is modeled as a linear function of the precision variables...
Neural Networks, Computer Phenotype Forced Expiratory Volume Smoking Spirometry
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Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study.

Scientific reports Nov 26, 2021
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discovery that accounts for non-linearity and interaction in large biomedical databases with minimal variable pre-processing. In this study, mortality models ...
Life Style Mortality Databases, Factual Female Risk Factors Humans Machine Learning Cohort Studies United Kingdom Cognition Disorders Smoking Aged Male Middle Aged
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Numerical investigations of the nonlinear smoke model using the Gudermannian neural networks.

Mathematical biosciences and engineering : MBE Nov 15, 2021
These investigations are to find the numerical solutions of the nonlinear smoke model to exploit a stochastic framework called gudermannian neural works (GNNs) along with the optimization procedures of global/local search terminologies based genetic ...
Smoking Reproducibility of Results Neural Networks, Computer Nonlinear Dynamics Algorithms
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Predicting obesity and smoking using medication data: A machine-learning approach.

Pharmacoepidemiology and drug safety Oct 17, 2021
PURPOSE: Administrative health datasets are widely used in public health research but often lack information about common confounders. We aimed to develop and validate machine learning (ML)-based models using medication data from Australia's Pharmace...
ROC Curve Obesity Smoking Male Cohort Studies Humans Child Machine Learning Female
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