AIMC Topic: Prevalence

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Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

Journal of medical systems Jan 4, 2020
This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight different neuropsychiatric and neurological disorders such as stroke, alzheimer, parkinson's, epilepsy, autism, migraine, cerebral palsy, and multipl...
Sensitivity and Specificity Prevalence Deep Learning Humans Image Processing, Computer-Assisted Nervous System Diseases Neural Networks, Computer
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Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.

Preventive veterinary medicine Nov 30, 2019
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds is critical for the control of this disease. Exploratory machine learning techniques can uncover complex non-linear relationships and interactions wit...
England Cattle Decision Making Decision Trees Risk Factors Animals Prevalence Animal Husbandry Communicable Disease Control Tuberculosis, Bovine Machine Learning
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Electronic Health Records Female Adult Male Middle Aged Humans Artificial Intelligence Probability Risk Wounds and Injuries Intimate Partner Violence Prevalence Diagnosis, Computer-Assisted Adolescent Radiology
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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...
Mass Screening Follow-Up Studies Predictive Value of Tests Aortic Aneurysm, Abdominal Prevalence Incidence Ultrasonography United States Age Distribution Sex Distribution Humans Risk Factors Aged, 80 and over Machine Learning Aged Male Retrospective Studies Middle Aged Female
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A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.

PloS one Sep 25, 2019
OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive process to measure the prevalence of autism spectrum disorder (ASD) among children in the United States. Random forests methods have shown promise in speedi...
Public Health Surveillance Feasibility Studies Epidemiological Monitoring Georgia Deep Learning Humans Centers for Disease Control and Prevention, U.S. Child Autism Spectrum Disorder United States Prevalence Support Vector Machine
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Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.

Radiology Sep 17, 2019
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern requiring cross-sectional imaging for noninvasive diagnosis and quantification of liver fat. Purpose To investigate a deep learning-based automated l...
Female Male Middle Aged Prevalence Deep Learning Humans Non-alcoholic Fatty Liver Disease Retrospective Studies Radiography, Abdominal Tomography, X-Ray Computed
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Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.

JAMA network open Aug 2, 2019
IMPORTANCE: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Medicaid Ethnicity Income Health Care Costs Cost of Illness Adult Intensive Care Units Male Natural Language Processing Female Humans Middle Aged Primary Health Care Medicare Hospitalization United States Prevalence Aged Health Expenditures
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Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.

Journal of infection in developing countries Jul 31, 2019
INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity to develop resistance to all classes of antimicrobial compounds. However, very little is known regarding its susceptibility to biocides (antiseptics an...
Microbial Sensitivity Tests Cross Infection Acinetobacter Infections Humans Malaysia Drug Resistance, Bacterial Acinetobacter baumannii Disinfectants Prevalence Benzalkonium Compounds Chlorhexidine Biofilms Benzethonium
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Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.

Food research international (Ottawa, Ont.) Mar 28, 2019
Foodborne pathogens such as Listeria spp. contain the ability to survive and multiply in poultry farming environments, which provides a route of contamination for poultry processing environments and final poultry products. An understanding of the eff...
Machine Learning Feces Chickens Models, Statistical Animals Prevalence Decision Trees Poultry Products Listeria
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SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis.

BMJ open Feb 13, 2019
INTRODUCTION: This study aims to obtain data on the prevalence and incidence of structural heart disease in a population setting and, to analyse and present those data on the application of spatial and machine learning methods that, although known to...
Heart Diseases Spatial Analysis Spain Prevalence Surveys and Questionnaires Adolescent Incidence Adult Cross-Sectional Studies Male Middle Aged Prospective Studies Humans Machine Learning Female Research Design Risk Factors Aged Young Adult
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