AIMC Topic: Regression Analysis

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Inversion of Soil Organic Matter Content Based on Improved Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 13, 2022
Soil organic matter (SOM) is an important source of nutrients required during crop growth and is an important component of cultivated soil. In this paper, we studied the possibility of using deep learning methods to establish a multi-feature model to...
Neural Networks, Computer Regression Analysis Linear Models Support Vector Machine Soil
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In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning.

Poultry science Oct 11, 2022
The purpose of this study was to predict the carcass characteristics of broilers using support vector regression (SVR) and artificial neural network (ANN) model methods. Data were obtained from 176 yellow feather broilers aged 100-day-old (90 males a...
Muscles Abdominal Fat Male Neural Networks, Computer Animals Regression Analysis Female Chickens
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Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach.

Genes Sep 19, 2022
Analysis of data with a censored survival response and high-dimensional omics measurements is now common. Most of the existing analyses are based on specific (semi)parametric models, in particular the Cox model. Such analyses may be limited by not ha...
Regression Analysis Survival Analysis Algorithms Neural Networks, Computer Proportional Hazards Models
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Model-free prediction test with application to genomics data.

Proceedings of the National Academy of Sciences of the United States of America Aug 15, 2022
Testing the significance of predictors in a regression model is one of the most important topics in statistics. This problem is especially difficult without any parametric assumptions on the data. This paper aims to test the null hypothesis that give...
Transcriptome Algorithms Regression Analysis Genomics Machine Learning
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A Novel Artificial Intelligence System in Formulation Dissolution Prediction.

Computational intelligence and neuroscience Aug 8, 2022
Artificial neural network (ANN) techniques are widely used to screen the data and predict the experimental result in pharmaceutical studies. In this study, a novel dissolution result prediction and screen system with a backpropagation network and reg...
Solubility Artificial Intelligence Regression Analysis Neural Networks, Computer
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Convolutional Ordinal Regression Forest for Image Ordinal Estimation.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Image ordinal estimation is to predict the ordinal label of a given image, which can be categorized as an ordinal regression (OR) problem. Recent methods formulate an OR problem as a series of binary classification problems. Such methods cannot ensur...
Image Processing, Computer-Assisted Regression Analysis Neural Networks, Computer
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Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.

IEEE transactions on neural networks and learning systems May 2, 2022
Recently, heatmap regression has been widely explored in facial landmark detection and obtained remarkable performance. However, most of the existing heatmap regression-based facial landmark detection methods neglect to explore the high-order feature...
Face Regression Analysis Learning Neural Networks, Computer
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Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

PloS one Apr 7, 2022
OBJECTIVE: We aimed to identify existing hypertension risk prediction models developed using traditional regression-based or machine learning approaches and compare their predictive performance.
Bias Machine Learning Hypertension Adult Risk Factors Humans Regression Analysis
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Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA).

Computational and mathematical methods in medicine Apr 4, 2022
In the current information and technology era, business enterprises are focusing in performing the process effectively by reducing the waiting time in completing the work, reduce latency and deploy the resources effectively so as to service the patie...
Delivery of Health Care Machine Learning Hospitals Regression Analysis Humans Algorithms
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Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials.

Statistics in medicine Feb 16, 2022
Several recently developed methods have the potential to harness machine learning in the pursuit of target quantities inspired by causal inference, including inverse weighting, doubly robust estimating equations and substitution estimators like targe...
Humans Research Design Machine Learning Likelihood Functions Regression Analysis Causality Computer Simulation Models, Statistical
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