AIMC Topic: Sex Distribution

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Evidence of Gender Differences in the Diagnosis and Management of Coronavirus Disease 2019 Patients: An Analysis of Electronic Health Records Using Natural Language Processing and Machine Learning.

Journal of women's health (2002) Dec 16, 2020
The impact of sex and gender in the incidence and severity of coronavirus disease 2019 (COVID-19) remains controversial. Here, we aim to describe the characteristics of COVID-19 patients at disease onset, with special focus on the diagnosis and mana...
Hospitalization Young Adult Adult Electronic Health Records Female SARS-CoV-2 COVID-19 Natural Language Processing Intensive Care Units Sex Factors Humans Spain Machine Learning Sex Distribution Male Middle Aged Adolescent
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Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Radiology Nov 24, 2020
Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demon...
Humans Cross-Sectional Studies Male Radiography, Abdominal Middle Aged Age Distribution Tomography, X-Ray Computed Deep Learning Sex Distribution Female Reproducibility of Results Reference Values Racial Groups Outpatients Cohort Studies Image Processing, Computer-Assisted Body Composition
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Gender and active travel: a qualitative data synthesis informed by machine learning.

The international journal of behavioral nutrition and physical activity Dec 21, 2019
BACKGROUND: Innovative approaches are required to move beyond individual approaches to behaviour change and develop more appropriate insights for the complex challenge of increasing population levels of activity. Recent research has drawn on social p...
Travel Sex Distribution Adolescent Child United Kingdom Aged Young Adult Adult Male Middle Aged Qualitative Research Humans Machine Learning Female
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Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

Echocardiography (Mount Kisco, N.Y.) Nov 4, 2019
A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurysm (AAA) is presented. Self-reported height, weight, age, gender, ethnicity, and parameters "Heart Problems," "Hypertension," "High Cholesterol," "Diab...
Humans Aortic Aneurysm, Abdominal Machine Learning Age Distribution Retrospective Studies Sex Distribution Prevalence Aged, 80 and over Follow-Up Studies Female United States Male Incidence Risk Factors Predictive Value of Tests Middle Aged Mass Screening Ultrasonography Aged
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Journal of medical systems Apr 10, 2018
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-base...
Body Weights and Measures Age Distribution Sex Distribution Blood Pressure Neural Networks, Computer Data Interpretation, Statistical Artificial Intelligence Bayes Theorem Machine Learning United States Adult Humans Decision Support Techniques Diabetes Mellitus Male Middle Aged Female Indians, North American Blood Glucose Reproducibility of Results
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Predictors of firearm violence in urban communities: A machine-learning approach.

Health & place Mar 14, 2018
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with firearm violence is important to improve confounder selection and control in health research, to bette...
Urban Population Poverty Areas Male Cause of Death Humans Sex Distribution Firearms Ethnicity Adolescent Violence Machine Learning United States Female Age Distribution
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