AIMC Topic: Cross-Sectional Studies

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Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

Pediatric research Jul 27, 2019
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive electrodes of conventional electrocardiogram (ECG) to cause damage to the epidermis. This study was pe...
Respiratory Rate Telemetry Cross-Sectional Studies Electrocardiography Heart Rate Infant, Premature Artificial Intelligence Algorithms Infant, Newborn Humans
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Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Current medical science Jul 25, 2019
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban areas. Early prevention strategies are needed to reduce the associated mortality and morbidity. We applied the combination of rules and different mach...
Retrospective Studies Female Adult Cross-Sectional Studies China Humans Diabetes Mellitus, Type 2 Machine Learning Male Risk Assessment
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Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach.

BMC infectious diseases Jul 22, 2019
BACKGROUND: Despite the greater sensitivity of the new dengue clinical classification proposed by the World Health Organization (WHO) in 2009, there is a need for a better definition of warning signs and clinical progression of dengue cases. Classic ...
Adult Cross-Sectional Studies Male Middle Aged Algorithms Retrospective Studies Female Aged Child Unsupervised Machine Learning Abdominal Pain Platelet Count Stochastic Processes Brazil Infant Adolescent Child, Preschool Humans Dengue Age Distribution
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
International Cooperation Internship and Residency ROC Curve Nevus United States Keratosis, Seborrheic Colombia Diagnosis, Differential Skin Neoplasms Skin Humans Image Interpretation, Computer-Assisted Dermatologists Dermoscopy Melanoma Spain Israel Cross-Sectional Studies Deep Learning
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Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

Breast cancer research and treatment Jul 8, 2019
PURPOSE: The aim of this study is to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls.
Humans Machine Learning Clinical Decision-Making Female Aged Middle Aged ROC Curve Metabolomics Saliva Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Aged, 80 and over Adult Breast Neoplasms Cross-Sectional Studies
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Running pattern of choroidal vessel in en face OCT images determined by machine learning-based quantitative method.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jun 24, 2019
PURPOSE: To evaluate the new method to quantitate the running pattern of the vessels in Haller's layer in en face optical coherence tomographic (OCT) images using the new algorithm.
Choroid Machine Learning Tomography, Optical Coherence Algorithms Retinal Vessels Retrospective Studies Humans Adult Female Reproducibility of Results Cross-Sectional Studies Male Imaging, Three-Dimensional
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Developing a new intelligent system for the diagnosis of oral medicine with case-based reasoning approach.

Oral diseases Jun 20, 2019
OBJECTIVE: Since the clinical manifestations of many oral diseases can be quite similar despite the wide variety in etiology and pathology, the differential diagnosis of oral diseases is a complex and challenging process. Intelligent system for diffe...
Humans Artificial Intelligence Cross-Sectional Studies User-Computer Interface Oral Medicine
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Quality of working life from the perspective of different groups of professionals working in a maternity hospital.

Ciencia & saude coletiva Jun 7, 2019
The relationship between people and work has a direct impact on quality of life and health. The objective of this article is to compare perceived levels of Quality of Working Life (QWL) across three different groups of professionals. Cross-sectional ...
Workplace Male Humans Quality of Life Pregnancy Hospitals, Maternity Female Personnel, Hospital Cross-Sectional Studies
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Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia.

Scientific reports Jun 6, 2019
In this paper the optimum timing for the postoperative functional cure of basic intermittent exotropia is explored based on support vector machine (SVM). One hundred and thirty-two patients were recruited in this prospective cross-sectional study wit...
Prospective Studies Female Reproducibility of Results Young Adult Male Adolescent Child, Preschool Adult Cross-Sectional Studies Humans Regression Analysis Child Visual Acuity Treatment Outcome Postoperative Period Support Vector Machine Exotropia Follow-Up Studies
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Deep Learning ROC Curve Area Under Curve Fundus Oculi Humans Aged Algorithms Neural Networks, Computer Sensitivity and Specificity Aged, 80 and over Female Image Interpretation, Computer-Assisted Machine Learning Cross-Sectional Studies Adult Datasets as Topic Male Retinal Diseases Middle Aged
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