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Models, Statistical

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Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2017
Inspired by the ideas from the mutual cooperation of symbiosis in natural ecosystem, this paper proposes a new variant of PSO, named Symbiosis-based Alternative Learning Multi-swarm Particle Swarm Optimization (SALMPSO). A learning probability to sel...
Humans Learning Animals Ecosystem Machine Learning Algorithms Computer Simulation Cooperative Behavior Symbiosis Models, Statistical Models, Biological Biomimetics
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PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2017
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthca...
New York City Bayes Theorem Heart Failure Patient Readmission Machine Learning Humans Algorithms Electronic Health Records Cohort Studies Computational Biology Models, Statistical
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Detection of Dendritic Spines Using Wavelet Packet Entropy and Fuzzy Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
The morphology of dendritic spines is highly correlated with the neuron function. Therefore, it is of positive influence for the research of the dendritic spines. However, it is tried to manually label the spine types for statistical analysis. In thi...
Cells, Cultured Animals Models, Statistical Wavelet Analysis Entropy Image Processing, Computer-Assisted Dendritic Spines Microscopy, Confocal Support Vector Machine
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Tuning electrical stimulation for thalamic visual prosthesis: An autoencoder-based approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Visual prosthesis holds hope of vision restoration for millions with retinal degenerative diseases. Machine learning techniques such as artificial neural networks could help in improving prosthetic devices as they could learn how the brain encodes in...
Visual Prosthesis Thalamus Geniculate Bodies Humans Photic Stimulation Models, Neurological Models, Statistical
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The effects of deep network topology on mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attenti...
Logistic Models Humans Machine Learning Natural Language Processing Female Neural Networks, Computer Models, Statistical Algorithms Odds Ratio Reproducibility of Results Regression Analysis Electronic Health Records Mortality Male
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Visualizing patient journals by combining vital signs monitoring and natural language processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admi...
Medical Informatics Patient Admission Vital Signs Heart Arrest Oxygen Respiratory Insufficiency Hospitalization Critical Care Denmark Aged Natural Language Processing Middle Aged Blood Pressure Humans Hospitals Monitoring, Physiologic Intensive Care Units Sepsis Models, Statistical
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Fall risk probability estimation based on supervised feature learning using public fall datasets.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Risk of falling is considered among major threats for elderly population and therefore started to play an important role in modern healthcare. With recent development of sensor technology, the number of studies dedicated to reliable fall detection sy...
Supervised Machine Learning Probability Risk Assessment Accidental Falls Models, Statistical Humans Algorithms
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Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Nanoparticle (NP) toxicity is determined by a vast number of topological, sterical, physico-chemical as well as biological properties, rendering a priori evaluation of the effect of NP on biological tissue as arduous as it is necessary and urgent. We...
Models, Statistical Nonlinear Dynamics Algorithms Nanoparticles Support Vector Machine
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[Prediction of schistosomiasis infection rates of population based on ARIMA-NARNN model].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control Jul 12, 2016
OBJECTIVE: To explore the effect of the autoregressive integrated moving average model-nonlinear auto-regressive neural network (ARIMA-NARNN) model on predicting schistosomiasis infection rates of population.
Humans Neural Networks, Computer Forecasting Schistosomiasis China Incidence Models, Statistical
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A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators.

The international journal of biostatistics May 1, 2016
OBJECTIVE: Consistent estimation of causal effects with inverse probability weighting estimators is known to rely on consistent estimation of propensity scores. To alleviate the bias expected from incorrect model specification for these nuisance para...
Models, Statistical Outcome Assessment, Health Care Propensity Score Machine Learning Electronic Health Records Diabetes Mellitus, Type 2 Humans
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