AIMC Topic: Cross-Sectional Studies

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Poor vitamin D status increases the risk of anemia in school children: National Food and Nutrition Surveillance.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 12, 2017
OBJECTIVES: This study aimed to investigate the association between 25-hydroxyvitamin D (25[OH]D) concentrations and the risk of anemia in a large cohort of children with consideration for the effects of sex, body mass index (BMI), serum intact parat...
Students Anthropometry Child Population Surveillance Nutritional Status Body Mass Index Humans Iron Vitamin D Female Parathyroid Hormone Vitamin D Deficiency Risk Factors Anemia Cross-Sectional Studies Sex Factors Male
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Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

BMJ open Sep 15, 2017
OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasing variance in care, making resource planning difficult and potentially increasing length of stay and mortality in some settings. Identifying patients...
Tertiary Care Centers Patient Readmission United Kingdom Humans Cross-Sectional Studies Female Male Aged Middle Aged Adult Machine Learning ROC Curve Retrospective Studies Area Under Curve Intensive Care Units
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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Reproducibility of Results Aged Adult Cross-Sectional Studies Male Middle Aged Humans Machine Learning Phenotype Female Computed Tomography Angiography Aortic Aneurysm Aortography Sinus of Valsalva Aortic Valve Insufficiency Diagnosis, Computer-Assisted Bicuspid Aortic Valve Disease Aortic Valve Stenosis Heart Valve Diseases Aortic Valve Pattern Recognition, Automated Predictive Value of Tests Aorta, Thoracic Radiographic Image Interpretation, Computer-Assisted
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[Evaluation of equations using cystatin C for estimation of the glomerular filtration rate in healthy adult population of canidates for kidney donors.].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) Sep 8, 2017
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are impractical and complex, which led to development of equations to estimate GFR. Objective: To evalua...
Middle Aged Adolescent Aged Glomerular Filtration Rate Humans Living Donors Evaluation Studies as Topic Young Adult Kidney Transplantation Cystatin C Models, Biological Adult Creatinine Biomarkers Cross-Sectional Studies Reference Values Female Male Donor Selection Reproducibility of Results
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Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index.

Annals of emergency medicine Sep 6, 2017
STUDY OBJECTIVE: Standards for emergency department (ED) triage in the United States rely heavily on subjective assessment and are limited in their ability to risk-stratify patients. This study seeks to evaluate an electronic triage system (e-triage)...
Humans Machine Learning Male United States Triage Algorithms Area Under Curve Retrospective Studies Emergency Service, Hospital Female Vital Signs Adult Cross-Sectional Studies
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Attitudes towards care robots among Finnish home care personnel - a comparison of two approaches.

Scandinavian journal of caring sciences Aug 22, 2017
STUDY'S RATIONALE: The significance of care robotics has been highlighted in recent years.
Surveys and Questionnaires Attitude of Health Personnel Robotics Finland Attitude to Computers Female Adult Cross-Sectional Studies Male Middle Aged Home Health Aides Humans
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Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B.

Computers in biology and medicine Jul 20, 2017
Hepatic fibrosis is a common middle stage of the pathological processes of chronic liver diseases. Clinical intervention during the early stages of hepatic fibrosis can slow the development of liver cirrhosis and reduce the risk of developing liver c...
Adult Cross-Sectional Studies Male Middle Aged Image Processing, Computer-Assisted Liver Cirrhosis Support Vector Machine Hepatitis B, Chronic Elasticity Imaging Techniques Humans Female
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NIRCa: An artificial neural network-based insulin resistance calculator.

Pediatric diabetes Jun 19, 2017
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming.
Humans Neural Networks, Computer Young Adult Adult Cross-Sectional Studies Machine Learning Female Reproducibility of Results Random Allocation Computational Biology Multivariate Analysis Diabetes Mellitus, Type 1 Male Glucose Clamp Technique Hypertension Adolescent Prehypertension Predictive Value of Tests Child Diabetic Angiopathies Insulin Resistance Puberty
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Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

Alimentary pharmacology & therapeutics Jun 6, 2017
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Electronic medical records facilitate large-scale epidemiologic...
Alanine Transaminase Lipoproteins, HDL Triglycerides Middle Aged ROC Curve Logistic Models Non-alcoholic Fatty Liver Disease Humans Anthropometry Sensitivity and Specificity Cross-Sectional Studies Machine Learning Male Female Adult
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Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 12, 2017
OBJECTIVE: Pharmaceutical intervention targets arm flexor spasticity with an often-unsuccessful goal of improving function. Flexion synergy is a related motor impairment that may be inadvertently neglected. Here, flexor spasticity and flexion synergy...
Movement Paresis Muscle Spasticity Humans Robotics Cross-Sectional Studies Prospective Studies Electromyography Male Female Stroke Aged Middle Aged Arm Severity of Illness Index Range of Motion, Articular Chronic Disease
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