AIMC Topic: Probability

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Scanpath modeling and classification with hidden Markov models.

Behavior research methods Feb 1, 2018
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, ca...
Machine Learning Eye Movements Probability Humans Task Performance and Analysis Photic Stimulation Fixation, Ocular Markov Chains Individuality
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Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval.

Database : the journal of biological databases and curation Jan 1, 2018
The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a text description of a needed dataset. We describe experiments in applying a data-driven, ma...
Data Mining Probability Data Curation Machine Learning Algorithms Databases, Factual Models, Theoretical
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Building Bayesian Networks from Causal Rules.

Studies in health technology and informatics Jan 1, 2018
Bayesian Networks (BNs) are often used for designing diagnosis decision support systems. They are a well-established method for reasoning under uncertainty and making inferences. But, eliciting the probabilities can be tedious and time-consuming espe...
Expert Systems Diagnosis Uncertainty Bayes Theorem Probability Humans Software
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A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Studies in health technology and informatics Jan 1, 2018
We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Dise...
Bayes Theorem Knowledge Bases Probability Humans Algorithms Risk
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Retinal Lesion Detection With Deep Learning Using Image Patches.

Investigative ophthalmology & visual science Jan 1, 2018
PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease d...
Retinal Diseases Reproducibility of Results ROC Curve Image Interpretation, Computer-Assisted Exudates and Transudates Probability Neural Networks, Computer Machine Learning Algorithms Humans
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Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations.

The New England journal of medicine Jun 29, 2017
Probability Machine Learning Prognosis Algorithms Risk Assessment
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Effects of Implementing a Tree Model of Diagnosis into a Bayesian Diagnostic Inference System.

Studies in health technology and informatics Jan 1, 2017
To estimate a diagnostic probability similarly to experts using answers to interviews, we developed a system that fundamentally behaves as a Bayesian model. For predefined interviews, we defined the sensitivity and specificity related to one or more ...
Sensitivity and Specificity Humans Bayes Theorem Decision Support Techniques Probability
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Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

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
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-...
Cohort Studies Electrocardiography Regression Analysis Humans Risk Assessment Biological Specimen Banks Blood Pressure Machine Learning China Arrhythmias, Cardiac Area Under Curve Reproducibility of Results Databases, Factual Probability Cardiovascular Diseases
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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...
Humans Probability Accidental Falls Algorithms Models, Statistical Risk Assessment Supervised Machine Learning
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Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.

Molecular bioSystems Mar 1, 2016
Protein-protein interactions (PPIs) play a vital role in most biological processes. Hence their comprehension can promote a better understanding of the mechanisms underlying living systems. However, besides the cost and the time limitation involved i...
Databases, Protein Sample Size Protein Interaction Mapping Probability ROC Curve Protein Binding Computational Biology Machine Learning Reproducibility of Results
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