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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...
Models, Statistical Data Mining Delivery of Health Care Electronic Health Records Hospitals Humans Machine Learning
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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...
Models, Statistical Heart Failure Arrhythmias, Cardiac Forecasting Humans Cardiovascular Diseases Machine Learning
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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...
Risk Machine Learning Algorithms Prognosis Hospitalization Aged Comorbidity Female ROC Curve Reproducibility of Results Male Decision Trees Decision Support Systems, Clinical Inflammation Middle Aged Humans False Positive Reactions Disease Progression Aged, 80 and over Models, Statistical Adult Pulmonary Disease, Chronic Obstructive
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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 Sensitivity and Specificity Humans ROC Curve Machine Learning Heart Failure Support Vector Machine Algorithms Heart Rate
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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...
Neural Networks, Computer Pregnancy Female Humans Data Mining Cerclage, Cervical Premature Birth Decision Making Models, Statistical
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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...
Vitamins Combinatorial Chemistry Techniques Molecular Structure Bayes Theorem Databases, Factual Models, Statistical Machine Learning
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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...
Fuzzy Logic Models, Statistical Brain Mapping Reproducibility of Results Image Processing, Computer-Assisted Normal Distribution Brain Humans Magnetic Resonance Imaging Entropy Tomography, X-Ray Computed Multimodal Imaging Algorithms Image Interpretation, Computer-Assisted Neuroimaging
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Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Humans Machine Learning Water Pollution Water Quality Rivers Models, Statistical Temperature Decision Trees Water Oxygen Environmental Monitoring
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Diagnosing schizophrenia with network analysis and a machine learning method.

International journal of methods in psychiatric research Feb 5, 2020
OBJECTIVE: Schizophrenia is a chronic and debilitating neuropsychiatric disorder. It has been suggested that impaired brain connectivity underlies the pathophysiology of schizophrenia. Network analysis has thus recently emerged in the field of schizo...
Humans Machine Learning Brain Schizophrenia Support Vector Machine Female Diffusion Tensor Imaging Models, Statistical Adult Male
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