AIMC Topic: Risk Factors

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Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: With rapidly evolving treatment options in cancer, the complexity in the clinical decision-making process for oncologists represents a growing challenge magnified by oncologists' disposition of intuition-based assessment of treatment risks a...
Humans Machine Learning Algorithms Databases, Factual Prognosis Retrospective Studies Electronic Health Records Clinical Decision-Making Female Risk Factors Informatics Vital Signs Survival Rate Male Middle Aged Neoplasms Follow-Up Studies
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Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration.

JAMA ophthalmology Dec 1, 2018
IMPORTANCE: Although deep learning (DL) can identify the intermediate or advanced stages of age-related macular degeneration (AMD) as a binary yes or no, stratified gradings using the more granular Age-Related Eye Disease Study (AREDS) 9-step detaile...
Risk Factors Aged Male Middle Aged Risk Assessment Humans Algorithms Retrospective Studies Female Reproducibility of Results United States Follow-Up Studies Macular Degeneration Diagnostic Techniques, Ophthalmological Macula Lutea Disease Progression Severity of Illness Index Deep Learning Incidence Time Factors
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Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Journal of the American Heart Association Nov 20, 2018
Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations Risk Calculator may underestimate risk of atherosclerotic cardiovascular disease ...
Support Vector Machine Coronary Artery Disease Hydroxymethylglutaryl-CoA Reductase Inhibitors Sensitivity and Specificity Male Cardiovascular Diseases Middle Aged Risk Assessment Humans Machine Learning Female Risk Factors Aged
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Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis.

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 Nov 1, 2018
AIMS: Diagnosing long QT syndrome (LQTS) is challenging due to a considerable overlap of the QTc-interval between LQTS patients and healthy controls. The aim of this study was to investigate the added value of T-wave morphology markers obtained from ...
Humans Phenotype Electrocardiography Support Vector Machine Action Potentials Predictive Value of Tests Signal Processing, Computer-Assisted Retrospective Studies Reproducibility of Results Risk Factors Time Factors Genetic Predisposition to Disease Long QT Syndrome Heart Conduction System Heart Rate
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Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Nov 1, 2018
BACKGROUND: Hospital-acquired pressure injuries are a serious problem among critical care patients. Some can be prevented by using measures such as specialty beds, which are not feasible for every patient because of costs. However, decisions about wh...
Male Middle Aged Risk Assessment Severity of Illness Index ROC Curve Electronic Health Records Predictive Value of Tests Humans Female Critical Care Machine Learning Risk Factors Pressure Ulcer Aged Beds Adult Iatrogenic Disease
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Towards trustable machine learning.

Nature biomedical engineering Oct 1, 2018
Colonic Polyps Humans Pattern Recognition, Automated Machine Learning Biomarkers Risk Factors Colonoscopy
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Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.

Circulation. Cardiovascular quality and outcomes Oct 1, 2018
Pedigree Cardiomyopathy, Dilated Arrhythmogenic Right Ventricular Dysplasia Cardiomyopathy, Hypertrophic, Familial Heredity Predictive Value of Tests Genetic Testing Data Mining Genetic Variation High-Throughput Nucleotide Sequencing Reproducibility of Results Risk Factors Risk Assessment Genetic Predisposition to Disease Computational Biology Humans Machine Learning Phenotype Prognosis
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Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.

Terapevticheskii arkhiv Sep 20, 2018
AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of the left ventricle (LV) of the heart in patients with chronic kidney disease (CKD).
Female Patient Acuity Risk Factors Ventricular Remodeling Humans Disease Progression Male Ventricular Dysfunction, Left Incidence Echocardiography Russia Renal Insufficiency, Chronic Middle Aged Hypertrophy, Left Ventricular Glomerular Filtration Rate Cystatin C
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Does Extracorporeal Irradiation and Reimplantation After Acetabular Resections Result in Adequate Hip Function? A Preliminary Report.

Clinical orthopaedics and related research Sep 1, 2018
BACKGROUND: Pelvic resections are challenging, and reconstruction of the resected acetabulum to restore mobility and stability is even more difficult. Extracorporeal radiation therapy (ECRT or extracorporeal irradiation) of autograft bone and reimpla...
Osteotomy Range of Motion, Articular Transplantation, Autologous Bone Transplantation Hip Joint Treatment Outcome Acetabulum Blood Loss, Surgical Female Operative Time Risk Factors Recovery of Function Adult Pelvic Neoplasms Biomechanical Phenomena Preliminary Data Humans Male Middle Aged Radiotherapy, Adjuvant Retrospective Studies Postoperative Complications Replantation Tomography, X-Ray Computed Adolescent Time Factors Child
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Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.

The British journal of psychiatry : the journal of mental science Sep 1, 2018
Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where ...
Risk Factors Mental Health Risk Assessment Mental Health Services Psychology Humans Models, Statistical Machine Learning Precision Medicine
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