AIMC Topic: Algorithms

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In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method.
Blood Glucose Algorithms Sensitivity and Specificity Image Processing, Computer-Assisted Spectroscopy, Near-Infrared Humans Diabetes Mellitus Neural Networks, Computer
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Multi-task fused sparse learning for mild cognitive impairment identification.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis.
Brain Magnetic Resonance Imaging Disease Progression Humans Cognitive Dysfunction Algorithms Databases, Factual Biomarkers Image Processing, Computer-Assisted Support Vector Machine
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A novel hand gesture recognition method based on 2-channel sEMG.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
Hand gesture recognition is getting more and more important in the area of rehabilitation and human machine interface (HMI). However, most current approaches are difficult to achieve practical application because of an excess of sensors. In this work...
Gestures Biosensing Techniques Humans Hand Pattern Recognition, Automated Neural Networks, Computer Female Artificial Intelligence Adult Signal Processing, Computer-Assisted Algorithms Male
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Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.

Journal of X-ray science and technology Jan 1, 2018
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l0-norm dictionary learning regularization has...
Image Processing, Computer-Assisted Supervised Machine Learning Tomography, X-Ray Computed Humans Phantoms, Imaging Animals Sheep Algorithms Lung
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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 Curation Models, Theoretical Data Mining Machine Learning Probability Algorithms Databases, Factual
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Improved ontology-based similarity calculations using a study-wise annotation model.

Database : the journal of biological databases and curation Jan 1, 2018
https://phenomics.github.io/.
Data Curation Databases, Genetic Gene Ontology Humans Phenotype Models, Genetic Algorithms
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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...
Humans Algorithms Probability Risk Bayes Theorem Knowledge Bases
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Applications of Machine Learning in Fatty Live Disease Prediction.

Studies in health technology and informatics Jan 1, 2018
: Fatty liver disease (FLD) is considered the most prevalent form of chronic liver disease worldwide. The prediction of fatty liver disease is an important factor for effective treatment and reduce serious health consequences. We, therefore construct...
Humans Fatty Liver Logistic Models Support Vector Machine Female Sensitivity and Specificity Machine Learning Male Algorithms
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Estimating a Bias in ICD Encodings for Billing Purposes.

Studies in health technology and informatics Jan 1, 2018
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used for billing purposes are afflicted with a bias originating from legal issues. This work presents an ...
Supervised Machine Learning International Classification of Diseases Bias Patient Discharge Humans Algorithms
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Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis.

Studies in health technology and informatics Jan 1, 2018
Numerous diagnostic decisions are made every day by healthcare professionals. Bayesian networks can provide a useful aid to the process, but learning their structure from data generally requires the absence of missing data, a common problem in medica...
Humans Machine Learning Cluster Analysis Bayes Theorem Algorithms Sleep Apnea, Obstructive
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