AIMC Topic: Regression Analysis

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An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes.

Computer methods and programs in biomedicine May 25, 2019
BACKGROUND AND OBJECTIVE: Code assignment is of paramount importance in many levels in modern hospitals, from ensuring accurate billing process to creating a valid record of patient care history. However, the coding process is tedious and subjective,...
Reproducibility of Results Deep Learning Models, Statistical Regression Analysis Critical Care Neural Networks, Computer Algorithms Intensive Care Units Electronic Health Records Medical Informatics International Classification of Diseases Humans
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Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

Environmental monitoring and assessment May 19, 2019
Rivers, as the most prominent component of water resources, have a key role to play in increasing the life expectancy of living creatures. The essential characteristics of water pollutants can be described by water quality indices (WQIs). Hence, a fe...
Environmental Monitoring Support Vector Machine Regression Analysis Iran Water Quality Neural Networks, Computer Machine Learning Rivers Multivariate Analysis Biological Oxygen Demand Analysis Water Pollutants
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Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates.

Sensors (Basel, Switzerland) May 8, 2019
Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify variations in response to physiological characteristics. In this paper, to analyze BP's normality based on oscillometric measurements, we use statistical...
Aged Aged, 80 and over Young Adult Adult Male Humans Algorithms Female Reproducibility of Results Regression Analysis Blood Pressure Systole Middle Aged Statistics as Topic Deep Learning Diastole Adolescent Child
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A highly effective, recyclable, and novel host-guest nanocomposite for Triclosan removal: A comprehensive modeling and optimization-based adsorption study.

Journal of colloid and interface science May 3, 2019
In this research paper, response surface methodology (RSM), generalized regression neural network (GRNN), and Adaptive Neuro-Fuzzy Inference System (ANFIS) were employed to develop prediction models for Triclosan (TCS) removal by a novel inclusion co...
Particle Size Kinetics Polyethylene Glycols Nanocomposites Nanotubes, Carbon Neural Networks, Computer beta-Cyclodextrins Anti-Bacterial Agents Surface Properties Water Pollutants, Chemical Thermodynamics Adsorption Triclosan Regression Analysis
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Discriminant Analysis Colonic Neoplasms Risk Normal Distribution Oncogenes Tissue Array Analysis Models, Statistical Regression Analysis Decision Trees Area Under Curve Bayes Theorem Colon Gene Expression Profiling Logistic Models Support Vector Machine Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity
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Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Middle East Respiratory Syndrome Coronavirus Male Survival Regression Analysis Middle Aged Health Personnel Bayes Theorem Infant Female Coronavirus Infections Severity of Illness Index Aged Multivariate Analysis Young Adult Saudi Arabia Adult Adolescent Child, Preschool Child Support Vector Machine Humans Machine Learning
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MRCNN: a deep learning model for regression of genome-wide DNA methylation.

BMC genomics Apr 4, 2019
BACKGROUND: Determination of genome-wide DNA methylation is significant for both basic research and drug development. As a key epigenetic modification, this biochemical process can modulate gene expression to influence the cell differentiation which ...
Genomics Epigenesis, Genetic Sequence Analysis, DNA DNA Methylation Models, Statistical Regression Analysis CpG Islands Humans Genome, Human Algorithms Deep Learning
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Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network.

International journal of neural systems Apr 3, 2019
Multi-target regression (MTR) comprises the prediction of multiple continuous target variables from a common set of input variables. There are two major challenges when addressing the MTR problem: the exploration of the inter-target dependencies and ...
Neural Networks, Computer Algorithms Deep Learning Regression Analysis Multivariate Analysis
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Groundwater Regression Analysis Weather Deep Learning Agricultural Irrigation Droughts Algorithms China Meteorology Temperature Water Soil Agriculture Reproducibility of Results Models, Theoretical
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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

Pediatric research Mar 31, 2019
BACKGROUND: Machine learning models may enhance the early detection of clinically relevant hyperbilirubinemia based on patient information available in every hospital.
ROC Curve Longitudinal Studies Regression Analysis Area Under Curve Hyperbilirubinemia, Neonatal Phototherapy Internet Humans Female Bilirubin Machine Learning Infant, Newborn Infant, Premature Retrospective Studies Sensitivity and Specificity Gestational Age Male
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