AIMC Topic: Reproducibility of Results

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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Equipment Design Signal Processing, Computer-Assisted Body Temperature Respiration Signal-To-Noise Ratio Male Adolescent Support Vector Machine Monitoring, Physiologic Models, Statistical Infrared Rays Thermography Stochastic Processes Normal Distribution Respiratory Rate Humans Artificial Intelligence Algorithms Female Temperature Reproducibility of Results Young Adult Adult Sensitivity and Specificity
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Ionic Liquid-Based Ultrasonic-Assisted Extraction Coupled with HPLC and Artificial Neural Network Analysis for .

Molecules (Basel, Switzerland) Mar 13, 2020
is widely used in traditional Chinese medicine (TCM). Ganoderic acid A and D are the main bioactive components with anticancer effects in . To obtain the maximum content of two compounds from , a novel extraction method, an ionic liquid-based ultras...
Solvents Ultrasonics Reference Standards Reishi Solutions Reproducibility of Results Neural Networks, Computer Time Factors Rotation Chromatography, High Pressure Liquid Anions Ionic Liquids
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Kaplan-Meier Estimate Lung Neoplasms Computational Biology Support Vector Machine Humans Neoplasm Staging Carcinoma, Non-Small-Cell Lung Neoplasm Grading Reproducibility of Results Area Under Curve Workflow Biomarkers, Tumor Neoplasm Metastasis Deep Learning Microarray Analysis
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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.

European radiology Mar 12, 2020
OBJECTIVE: To enhance the positive predictive value (PPV) of chest digital tomosynthesis (DTS) in the lung cancer detection with the analysis of radiomics features.
Early Detection of Cancer Artificial Intelligence Radiology Aged Machine Learning Semantics Humans Middle Aged Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms Reproducibility of Results Logistic Models
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Simultaneous ultra-trace quantitative colorimetric determination of antidiabetic drugs based on gold nanoparticles aggregation using multivariate calibration and neural network methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 12, 2020
In this study, a simple and rapid method was investigated for the simultaneous ultra-trace colorimetric determination of Metformin (MET) and Sitagliptin (STG) based on the aggregation of gold nanoparticles (AuNPs). The Morphology and size distributio...
Neural Networks, Computer Reproducibility of Results Colorimetry Hypoglycemic Agents Gold Analysis of Variance Metal Nanoparticles Spectrophotometry, Ultraviolet Least-Squares Analysis Sitagliptin Phosphate Metformin Calibration Multivariate Analysis
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BMC musculoskeletal disorders Mar 12, 2020
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiolog...
Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Lumbar Vertebrae Japan Spinal Stenosis Young Adult Outcome Assessment, Health Care Adult Observer Variation Male Reference Standards Middle Aged Magnetic Resonance Imaging
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Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

European radiology Mar 11, 2020
BACKGROUND AND PURPOSE: Recent studies have highlighted the importance of isocitrate dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of gliomas. This study aimed to evaluate whether MRI-based radiomic features cou...
Male Middle Aged Retrospective Studies Humans ROC Curve Predictive Value of Tests Female Machine Learning Glioma Reproducibility of Results Mutation Brain Magnetic Resonance Imaging Adult Survival Analysis Prognosis Brain Neoplasms Isocitrate Dehydrogenase
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Pedestrian Navigation Method Based on Machine Learning and Gait Feature Assistance.

Sensors (Basel, Switzerland) Mar 10, 2020
In recent years, as the mechanical structure of humanoid robots increasingly resembles the human form, research on pedestrian navigation technology has become of great significance for the development of humanoid robot navigation systems. To solve th...
Reproducibility of Results Biomechanical Phenomena Wearable Electronic Devices Robotics Walking Humans Gait Neural Networks, Computer Foot Pedestrians Machine Learning Motion Algorithms Acceleration Monitoring, Ambulatory
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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Diabetes & metabolic syndrome Mar 10, 2020
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based c...
Treatment Outcome Diabetes Mellitus Support Vector Machine Factor Analysis, Statistical Male Area Under Curve Humans Discriminant Analysis Middle Aged Machine Learning Automation Health Surveys Female Bangladesh Diabetes Mellitus, Type 2 Reproducibility of Results Demography Logistic Models Adult
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Early prediction of circulatory failure in the intensive care unit using machine learning.

Nature medicine Mar 9, 2020
Intensive-care clinicians are presented with large quantities of measurements from multiple monitoring systems. The limited ability of humans to process complex information hinders early recognition of patient deterioration, and high numbers of monit...
Databases as Topic Cohort Studies Time Factors ROC Curve Machine Learning Models, Theoretical Prognosis Humans Shock Intensive Care Units Reproducibility of Results Risk Factors
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