AIMC Topic: Models, Statistical

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Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related deaths have risen at alarming rates. Combating opioid epidemic becomes a high priority for not only governments but also healthcare providers. This d...
Analgesics, Opioid Electronic Health Records Opioid-Related Disorders United States Drug Overdose Models, Statistical Humans Machine Learning Databases, Factual New York
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Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.

International journal of audiology Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Databases, Factual Humans Reproducibility of Results Data Interpretation, Statistical Audiology Datasets as Topic Models, Statistical Probability Correction of Hearing Impairment Hearing Tests Expert Systems
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Healthcare pathway discovery and probabilistic machine learning.

International journal of medical informatics Feb 24, 2020
BACKGROUND AND PURPOSE: Healthcare pathways define the execution sequence of clinical activities as patients move through a treatment process, and they are critical for maintaining quality of care. The aim of this study is to combine healthcare pathw...
Humans Electronic Health Records Hospitals Machine Learning Delivery of Health Care Models, Statistical Data Mining
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Machine learning for predicting cardiac events: what does the future hold?

Expert review of cardiovascular therapy Feb 23, 2020
: With the increase in the number of patients with cardiovascular diseases, better risk-prediction models for cardiovascular events are needed. Statistical-based risk-prediction models for cardiovascular events (CVEs) are available, but they lack the...
Heart Failure Arrhythmias, Cardiac Humans Cardiovascular Diseases Models, Statistical Machine Learning Forecasting
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A proposed health monitoring system using fuzzy inference system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 20, 2020
Due to the busy schedule of every human being in today's world, consciousness towards one's health has become quite alarming. A person suffering from any chronic disease needs a gradual, regular and close monitoring to recover from the disease or to ...
Models, Statistical Blood Pressure Hypertension Fuzzy Logic Monitoring, Physiologic Humans Blood Glucose
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Inflammation Models, Statistical Decision Trees False Positive Reactions Risk Female Comorbidity Reproducibility of Results ROC Curve Hospitalization Decision Support Systems, Clinical Male Adult Middle Aged Pulmonary Disease, Chronic Obstructive Disease Progression Machine Learning Aged Humans Algorithms Aged, 80 and over Prognosis
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Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.

BioMed research international Feb 18, 2020
The adaptability of heart to external and internal stimuli is reflected by the heart rate variability (HRV). Reduced HRV can be a predictor of negative cardiovascular outcomes. Based on the nonlinear, nonstationary, and highly complex dynamics of the...
Models, Statistical Machine Learning Heart Failure Algorithms Sensitivity and Specificity Heart Rate Humans ROC Curve Support Vector Machine
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Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.

Computational biology and chemistry Feb 15, 2020
Preterm birth, defined as a delivery before 37 weeks' gestation, continues to affect 8-15% of all pregnancies and is associated with significant neonatal morbidity and mortality. Effective prediction of timing of delivery among women identified to be...
Humans Data Mining Cerclage, Cervical Premature Birth Decision Making Models, Statistical Neural Networks, Computer Pregnancy Female
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PTML Model of ChEMBL Compounds Assays for Vitamin Derivatives.

ACS combinatorial science Feb 13, 2020
Determining the biological activity of vitamin derivatives is needed given that organic synthesis of analogs of vitamins is an active field of interest for medicinal chemistry, pharmaceuticals, and food additives. Accordingly, scientists from differe...
Machine Learning Bayes Theorem Vitamins Combinatorial Chemistry Techniques Databases, Factual Models, Statistical Molecular Structure
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Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Computational and mathematical methods in medicine Feb 12, 2020
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replac...
Normal Distribution Entropy Tomography, X-Ray Computed Multimodal Imaging Reproducibility of Results Fuzzy Logic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neuroimaging Models, Statistical Humans Brain Mapping Magnetic Resonance Imaging Algorithms Brain
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