AIMC Topic: Sex Factors

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Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

The Science of the total environment Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Glycine Sex Factors Herbicides New York Cats Glyphosate Female Animals Male Age Factors Environmental Pollutants Dogs
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The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease.

The Canadian journal of cardiology Dec 26, 2018
BACKGROUND: Growth differentiation factor-15 (GDF-15) is a stress-inducible cytokine and member of the transforming growth factor-β cytokine superfamily that refines prognostic assessment in subgroups of patients with heart failure (HF). We evaluated...
Humans Heart Transplantation Biomarkers Female Proportional Hazards Models Male Systole Middle Aged Renal Insufficiency, Chronic Heart-Assist Devices Glomerular Filtration Rate Natriuretic Peptide, Brain Follow-Up Studies Angiotensin Receptor Antagonists Blood Pressure Angiotensin-Converting Enzyme Inhibitors Cholesterol Growth Differentiation Factor 15 Sodium Heart Failure, Systolic Sex Factors
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Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype-Genotype Correlation.

The journal of applied laboratory medicine Dec 20, 2018
BACKGROUND: Therapeutic efficacy and toxicity of thiopurine drugs (used as anticancer and immunosuppressant agents) are affected by thiopurine S-methyltransferase (TPMT) enzyme activity. genotype and/or phenotype is used to predict the risk for adve...
Age Factors Adult Chromatography, Liquid Humans Male Data Analysis Tandem Mass Spectrometry Middle Aged Retrospective Studies Sex Factors Adolescent Female Gene Frequency Genetic Association Studies Aged Methyltransferases Inflammation Young Adult
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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.

PLoS medicine Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Needs Assessment Age Factors Emergency Service, Hospital Data Mining Sex Factors Health Services Needs and Demand Patient Admission Aged Humans Aged, 80 and over Machine Learning Young Adult Electronic Health Records Adult Risk Assessment Female Male Reproducibility of Results England Risk Factors Middle Aged Adolescent Time Factors Socioeconomic Factors Health Status
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Humans Neural Networks, Computer Algorithms Female Infant, Newborn Support Vector Machine Age Factors Wrist Hand Male Sex Factors Infant Racial Groups Adolescent Age Determination by Skeleton Child, Preschool Child Image Processing, Computer-Assisted
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Humans Neural Networks, Computer Alcohol Drinking Symptom Assessment Wounds and Injuries Middle Aged Demography Severity of Illness Index Vocal Cord Paralysis Age Factors Algorithms Laryngeal Neoplasms Voice Disorders Supervised Machine Learning Retrospective Studies Voice Quality Sex Factors Female Glottis Smoking Aged Adult Male
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Bioimpedance and New-Onset Heart Failure: A Longitudinal Study of >500 000 Individuals From the General Population.

Journal of the American Heart Association Jun 29, 2018
BACKGROUND: Heart failure constitutes a high burden on patients and society, but although lifetime risk is high, it is difficult to predict without costly or invasive testing. We aimed to establish new risk factors of heart failure, which potentially...
Humans Machine Learning Decision Support Techniques Middle Aged Risk Assessment Incidence Time Factors Longitudinal Studies Age Factors Body Composition Prospective Studies Prognosis Female Risk Factors Aged Male Myocardial Infarction Heart Failure Sex Factors Electric Impedance United Kingdom Leg
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A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Linear Models Pattern Recognition, Automated Hypercholesterolemia Diabetes Mellitus Follow-Up Studies Models, Statistical Blood Pressure Data Interpretation, Statistical Sex Factors Aged Aged, 80 and over Young Adult Adult Male Cardiovascular Diseases Humans Middle Aged Machine Learning Diet Prospective Studies Risk Assessment Female Adolescent Reproducibility of Results Incidence Risk Factors Hypertension
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Robot-assisted upper extremity rehabilitation for cervical spinal cord injuries: a systematic scoping review.

Disability and rehabilitation. Assistive technology Jan 15, 2018
UNLABELLED: Abstact Purpose: To provide an overview of the feasibility and outcomes of robotic-assisted upper extremity training for individuals with cervical spinal cord injury (SCI), and to identify gaps in current research and articulate future re...
Sex Factors Humans Cervical Cord Age Factors Spinal Cord Injuries Recovery of Function Upper Extremity Robotics Physical Therapy Modalities Trauma Severity Indices
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B-type Natriuretic Peptide and Other Risk Factors for Predicting Postoperative Atrial Fibrillation after Thoracic Surgery.

The Thoracic and cardiovascular surgeon Dec 31, 2017
BACKGROUND: Postoperative atrial fibrillation (POAF) is associated with increased morality rate, prolonged hospitalization, and reduced long-term survival after surgery. Thus, prediction of POAF is important to assess surgical risk and provide prophy...
Treatment Outcome Pneumonectomy Thoracic Surgery, Video-Assisted Esophagectomy Atrial Fibrillation Sex Factors Natriuretic Peptide, Brain Up-Regulation Thoracotomy Thoracic Surgical Procedures Female Risk Factors Aged Male Middle Aged Risk Assessment Humans Prospective Studies Biomarkers
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