AIMC Topic: Models, Statistical

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Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

World neurosurgery May 28, 2021
BACKGROUND: Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readm...
Spinal Fusion Lumbar Vertebrae Patient Readmission Treatment Outcome Models, Statistical Predictive Value of Tests Area Under Curve Risk Assessment Postoperative Complications ROC Curve Logistic Models Humans Machine Learning Algorithms Retrospective Studies Aged Male Middle Aged Female Risk Factors
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Identify dominant dimensions of 3D hand shapes using statistical shape model and deep neural network.

Applied ergonomics May 25, 2021
Hand anthropometry is one of the fundamentals of ergonomic research and product design. Many studies have been conducted to analyze the hand dimensions among different populations, however, the definitions and the numbers of those dimensions were usu...
Humans Hand Anthropometry Ergonomics Neural Networks, Computer Models, Statistical
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Fast screening of covariates in population models empowered by machine learning.

Journal of pharmacokinetics and pharmacodynamics May 21, 2021
One of the objectives of Pharmacometry (PMX) population modeling is the identification of significant and clinically relevant relationships between parameters and covariates. Here, we demonstrate how this complex selection task could benefit from sup...
ROC Curve Support Vector Machine Models, Statistical Bayes Theorem Humans Neural Networks, Computer Machine Learning Algorithms Drug Evaluation, Preclinical Pharmacokinetics
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A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.

Journal of medical Internet research May 20, 2021
BACKGROUND: More than 79.2 million confirmed COVID-19 cases and 1.7 million deaths were caused by SARS-CoV-2; the disease was named COVID-19 by the World Health Organization. Control of the COVID-19 epidemic has become a crucial issue around the glob...
Humans Neural Networks, Computer Forecasting SARS-CoV-2 Disease Outbreaks Deep Learning Models, Statistical Artificial Intelligence Data Analysis Pandemics COVID-19
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one May 19, 2021
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza a...
Social Media Disease Outbreaks Humans Epidemiological Monitoring Internet Computer Systems Machine Learning Influenza, Human Information Storage and Retrieval Forecasting Models, Statistical Weather France Public Health Surveillance Electronic Health Records
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Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.

Aging May 17, 2021
The prediction of poor ovarian response (POR) for stratified interference is a critical clinical issue that has received an increasing amount of recent concern. Anthropogenic diagnostic modes remain too simple for the handling of actual clinical comp...
Machine Learning Algorithms Prospective Studies Female Adult Humans Neural Networks, Computer Cohort Studies Models, Statistical Estradiol Decision Trees Support Vector Machine Predictive Value of Tests Models, Biological Infertility, Female Anti-Mullerian Hormone Ovarian Follicle Ovary Reproductive Techniques, Assisted
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Spatial prediction of human brucellosis (HB) using a GIS-based adaptive neuro-fuzzy inference system (ANFIS).

Acta tropica May 9, 2021
OBJECTIVE: This study pursues three main objectives: 1) exploring the spatial distribution patterns of human brucellosis (HB); 2) identifying parameters affecting the disease spread; and 3) modeling and predicting the spatial distribution of HB cases...
Spatial Analysis Linear Models Climate Brucellosis Fuzzy Logic Cluster Analysis Models, Statistical Animals Geographic Information Systems Incidence Humans Neural Networks, Computer
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Machine learning for the prediction of pathologic pneumatosis intestinalis.

Surgery Apr 27, 2021
BACKGROUND: The radiographic finding of pneumatosis intestinalis can indicate a spectrum of underlying processes ranging from a benign finding to a life-threatening condition. Although radiographic pneumatosis intestinalis is relatively common, there...
Humans Machine Learning Retrospective Studies Male Tomography, X-Ray Computed ROC Curve Middle Aged Female Models, Statistical Reproducibility of Results Pneumatosis Cystoides Intestinalis Aged
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Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Disease markers Apr 22, 2021
Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...
Case-Control Studies Models, Statistical Decision Trees Humans Pneumonia COVID-19 Machine Learning Bayes Theorem Tomography, X-Ray Computed Community-Acquired Infections Sensitivity and Specificity Lung
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Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

PloS one Apr 21, 2021
BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.
Cohort Studies ROC Curve Models, Statistical Triage Area Under Curve Spain Middle Aged Risk Assessment Respiration, Artificial Severity of Illness Index Hospitalization Aged Adult COVID-19 Male Forecasting Retrospective Studies Humans Female Machine Learning SARS-CoV-2
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