AIMC Topic: Risk Factors

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Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: The absolute risk reduction (ARR) in cardiovascular events from therapy is generally assumed to be proportional to baseline risk-such that high-risk patients benefit most. Yet newer analyses have proposed using randomized trial data to de...
Risk Factors Aged Male Middle Aged Risk Assessment Humans Machine Learning Female Hypertension Antihypertensive Agents Treatment Outcome Data Mining Randomized Controlled Trials as Topic Blood Pressure
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Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

Diabetes technology & therapeutics Mar 1, 2019
OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).
Gestational Age Retrospective Studies Male Female Risk Assessment Infant, Newborn Cerebral Hemorrhage Risk Factors Blood Glucose Self-Monitoring Infant, Premature Humans Artificial Intelligence
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Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Mar 1, 2019
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...
Prognosis Retrospective Studies Female Risk Factors Adult Humans Artificial Intelligence Prospective Studies Follow-Up Studies Cervix Uteri Neoplasm Recurrence, Local Uterine Cervical Dysplasia Papillomaviridae Uterine Cervical Neoplasms Case-Control Studies Papillomavirus Infections DNA, Viral
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Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network.

JCO clinical cancer informatics Feb 1, 2019
PURPOSE: Background parenchymal uptake (BPU), which describes the level of radiotracer uptake in normal fibroglandular tissue on molecular breast imaging (MBI), has been identified as a breast cancer risk factor. Our objective was to develop and vali...
Radiopharmaceuticals Molecular Imaging Image Interpretation, Computer-Assisted Radionuclide Imaging Risk Factors Parenchymal Tissue Breast Neoplasms Humans Risk Assessment Neural Networks, Computer Mammography Algorithms Breast Female
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Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.

Yonsei medical journal Feb 1, 2019
PURPOSE: Many studies have proposed predictive models for type 2 diabetes mellitus (T2DM). However, these predictive models have several limitations, such as user convenience and reproducibility. The purpose of this study was to develop a T2DM predic...
Logistic Models Follow-Up Studies Cardiovascular Diseases Middle Aged ROC Curve Diabetes Mellitus, Type 2 Female Reproducibility of Results Risk Factors Male Humans Machine Learning Algorithms Republic of Korea
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Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Feb 1, 2019
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent episodes of ventricular arrhythmias. Electrical storm is associated with increased mortality and morbidity despite the use of implantable cardioverter-def...
Heart Failure Heart Rate Tachycardia, Ventricular Defibrillators, Implantable Electric Countershock Treatment Outcome Predictive Value of Tests Remote Sensing Technology Signal Processing, Computer-Assisted Ventricular Fibrillation Humans Machine Learning Databases, Factual Reproducibility of Results Risk Factors Risk Assessment Time Factors
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Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

The Turkish journal of pediatrics Jan 1, 2019
Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature. Turk J Pediatr 2019; 61: 664-670. Neonates with Down syndrome (DS) may have hematological a...
Child Logistic Models Follow-Up Studies Blood Cell Count Down Syndrome Humans Risk Factors Hematologic Diseases Retrospective Studies Male Female Infant Infant, Newborn Child, Preschool
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Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2019
OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient ...
Multigene Family Recurrence Middle Aged Humans Lung Neoplasms Machine Learning Gene Expression Regulation, Neoplastic Female Carcinoma, Non-Small-Cell Lung Risk Factors Models, Biological Male
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Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Nature reviews. Rheumatology Jan 1, 2019
Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the early stages of disease and do not discriminate patients for whom the disease might progress rapidly. T...
Aged Aged, 80 and over Male Disease Progression Models, Theoretical Data Mining Early Diagnosis Osteoarthritis, Knee Clinical Decision Rules Precision Medicine Clinical Decision-Making Female Risk Factors Humans Machine Learning
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Pulmonary Emphysema Early Diagnosis Respiratory Function Tests Spirometry Humans Pulmonary Disease, Chronic Obstructive Tomography, X-Ray Computed Sensitivity and Specificity Risk Factors Disease Progression Lung
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