AIMC Topic: Logistic Models

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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Cadmium Hypercholesterolemia Lead Decision Trees Environmental Pollutants Environmental Exposure Mercury Middle Aged ROC Curve Logistic Models Support Vector Machine Forecasting Republic of Korea Female Adult Male Humans Machine Learning
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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases Jul 21, 2019
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Risk Factors Adult Intraabdominal Infections Logistic Models Predictive Value of Tests Male Models, Biological Middle Aged Severity of Illness Index ROC Curve APACHE Pancreatitis
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Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.

Journal of proteome research Jul 17, 2019
Deep learning (DL), a type of machine learning approach, is a powerful tool for analyzing large sets of data that are derived from biomedical sciences. However, it remains unknown whether DL is suitable for identifying contributing factors, such as b...
Humans Machine Learning Support Vector Machine Mass Spectrometry Cluster Analysis Pancreatic Neoplasms Bayes Theorem Algorithms Deep Learning Logistic Models Proteomics
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Scientific reports Jul 17, 2019
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machin...
Genotyping Techniques INDEL Mutation Decision Trees Area Under Curve Crohn Disease Humans Alleles Polymorphism, Single Nucleotide Neural Networks, Computer Nonlinear Dynamics Female Male Genotype Deep Learning Logistic Models Genome-Wide Association Study Models, Genetic ROC Curve Genetic Predisposition to Disease
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.

BMJ open Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Bayes Theorem Medicare Mortality Logistic Models United States Models, Statistical Decision Trees Humans Neural Networks, Computer Machine Learning Female Aged Aged, 80 and over Male
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An Automatic Approach Using ELM Classifier for HFpEF Identification Based on Heart Sound Characteristics.

Journal of medical systems Jul 15, 2019
Heart failure with preserved ejection fraction (HFpEF) is a complex and heterogeneous clinical syndrome. For the purpose of assisting HFpEF diagnosis, a non-invasive method using extreme learning machine and heart sound (HS) characteristics was provi...
Image Processing, Computer-Assisted Logistic Models Heart Failure Markov Chains Heart Sounds Humans Machine Learning Algorithms Stroke Volume
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CADOES: An interactive machine-learning approach for sex estimation with the pelvis.

Forensic science international Jul 5, 2019
The pelvis is consistently regarded as the most sexually dimorphic region of the human skeleton, and methods for sex estimation with the pelvic bones are usually very accurate. In this investigation, population-specific osteometric models for the ass...
Male Logistic Models Pelvic Bones Sex Determination by Skeleton Humans Forensic Anthropology Least-Squares Analysis Neural Networks, Computer Datasets as Topic Machine Learning Female
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Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

BMC gastroenterology Jul 4, 2019
BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.
Acute Disease Humans APACHE Female Pancreatitis Machine Learning Severity of Illness Index Adult Prognosis Logistic Models Male Retrospective Studies Multiple Organ Failure Middle Aged Predictive Value of Tests Risk Assessment
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Variable Selection for Nonparametric Learning with Power Series Kernels.

Neural computation Jul 1, 2019
In this letter, we propose a variable selection method for general nonparametric kernel-based estimation. The proposed method consists of two-stage estimation: (1) construct a consistent estimator of the target function, and (2) approximate the estim...
Humans Machine Learning Logistic Models Renal Insufficiency, Chronic Diabetes Mellitus Statistics, Nonparametric Computer Simulation Post-Cardiac Arrest Syndrome Female Adult Neoplasms
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A feature agnostic approach for glaucoma detection in OCT volumes.

PloS one Jul 1, 2019
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma...
Young Adult Humans Deep Learning Algorithms Adult Logistic Models Female Male Neural Networks, Computer Tomography, Optical Coherence Aged Middle Aged Glaucoma Optic Disk Aged, 80 and over Machine Learning Retinal Ganglion Cells
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