AIMC Topic: Smoking

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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.

Scientific reports Aug 16, 2021
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires ...
Middle Aged Deep Learning ROC Curve Lung Neoplasms Staining and Labeling Female Aged Aged, 80 and over Adult Male Sex Factors Datasets as Topic Smoking Adenocarcinoma of Lung Eosine Yellowish-(YS) Hematoxylin Carcinoma, Non-Small-Cell Lung Age Factors Area Under Curve Mutation Coloring Agents Humans
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Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit.

ESMO open Jun 3, 2021
BACKGROUND: Persistent smoking after cancer diagnosis is associated with increased overall mortality (OM) and cancer mortality (CM). According to the 2020 Surgeon General's report, smoking cessation may reduce CM but supporting evidence is not wide. ...
Humans Prospective Studies Cross-Sectional Studies Smoking Smoking Cessation Male Neoplasms Deep Learning
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Evaluation of incomplete maternal smoking data using machine learning algorithms: a study from the Medical Birth Registry of Norway.

BMC pregnancy and childbirth Nov 23, 2020
BACKGROUND: The Medical Birth Registry of Norway (MBRN) provides national coverage of all births. While retrieval of most of the information in the birth records is mandatory, mothers may refrain to provide information on her smoking status. The prop...
Culture Norway Registries Mothers Linear Models Marital Status Smoking Humans Machine Learning Algorithms Pregnancy Female Educational Status Young Adult Adult Prevalence
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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Humans Machine Learning Female Respiration, Artificial Weight Loss Hypertension Body Mass Index Bayes Theorem Ascites Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Preoperative Care Laminectomy Spinal Neoplasms Multivariate Analysis Odds Ratio Serum Albumin Mortality Hypoalbuminemia Dyspnea Blood Coagulation Disorders Smoking Metastasectomy
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Predicting the first smoking lapse during a quit attempt: A machine learning approach.

Drug and alcohol dependence Oct 11, 2020
BACKGROUND: Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate d...
Tobacco Smoking Smoking Smokers Recurrence Smoking Cessation Ecological Momentary Assessment Male Middle Aged Smartphone Tobacco Products Motivation Machine Learning Humans Female Adult
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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Odds Ratio Aged Decision Trees Humans Adult Alcohol Drinking Area Under Curve Surveys and Questionnaires Machine Learning Medically Underserved Area Asian People Male Algorithms Waist Circumference Diabetes Mellitus, Type 2 Middle Aged Female Smoking Logistic Models China Risk Factors Decision Making Regression Analysis
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Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults.

Environmental health perspectives Sep 15, 2020
BACKGROUND: Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which...
DNA Methylation Smoking Prenatal Exposure Delayed Effects Maternal Exposure Finland Pregnancy Female Adult Male Adolescent Humans Machine Learning Biomarkers
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XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction.

International journal of environmental research and public health Sep 7, 2020
Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of d...
Humans Artificial Intelligence Forecasting Republic of Korea Noncommunicable Diseases Smoking Risk
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Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.

Annals of internal medicine Sep 1, 2020
BACKGROUND: Lung cancer screening with chest computed tomography (CT) reduces lung cancer death. Centers for Medicare & Medicaid Services (CMS) eligibility criteria for lung cancer screening with CT require detailed smoking information and miss many ...
Middle Aged Risk Assessment Lung Deep Learning Lung Neoplasms Early Detection of Cancer Smoking Female Risk Factors Aged Sensitivity and Specificity Humans Male Decision Support Techniques Tomography, X-Ray Computed
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Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

PloS one Aug 19, 2020
STUDY AIM: To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.
Diabetes Complications Pancreatitis, Chronic Tomography, X-Ray Computed Female Risk Factors Pancreatic Neoplasms Aged Adult Natural Language Processing Humans Sensitivity and Specificity Pancreas Smoking Retrospective Studies Male Proportional Hazards Models Middle Aged Kaplan-Meier Estimate Image Processing, Computer-Assisted Body Mass Index
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