AIMC Topic: Algorithms

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Real-time surgical needle detection using region-based convolutional neural networks.

International journal of computer assisted radiology and surgery Aug 17, 2019
OBJECTIVE: Conventional surgical assistance and skill analysis for suturing mostly focus on the motions of the tools. As the quality of the suturing is determined by needle motions relative to the tissues, having knowledge of the needle motion would ...
Neural Networks, Computer Algorithms Operative Time Humans Suture Techniques Surgery, Computer-Assisted Needles
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Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2019
In this paper, we propose a distributed semi-supervised learning (DSSL) algorithm based on the extreme learning machine (ELM) algorithm over communication network using the event-triggered (ET) communication scheme. In DSSL problems, training data co...
Neural Networks, Computer Machine Learning Algorithms Supervised Machine Learning
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ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Journal of biomedical informatics Aug 17, 2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also ...
Critical Care Medical Informatics ROC Curve Area Under Curve Deep Learning Hospital Mortality Retrospective Studies Intensive Care Units Reproducibility of Results Sensitivity and Specificity Electronic Health Records Neural Networks, Computer Machine Learning Algorithms Humans
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Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.

BMC bioinformatics Aug 17, 2019
*: Background Consisting of dictated free-text documents such as discharge summaries, medical narratives are widely used in medical natural language processing. Relationships between anatomical entities and human body parts are crucial for building m...
Patient Discharge Knowledge Bases Human Body Anatomy Data Mining Humans Algorithms
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The risks of risk. Regulating the use of machine learning for psychosis prediction.

International journal of law and psychiatry Aug 17, 2019
Recent advances in Machine Learning (ML) have the potential to revolutionise psychosis prediction and psychiatric assessment. This article has two objectives. First, it clarifies which aspects of English Law are relevant in order to regulate the use ...
United Kingdom Humans Risk Assessment Algorithms Machine Learning Psychotic Disorders Psychiatry
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Robust Student Network Learning.

IEEE transactions on neural networks and learning systems Aug 16, 2019
Deep neural networks bring in impressive accuracy in various applications, but the success often relies on heavy network architectures. Taking well-trained heavy networks as teachers, classical teacher-student learning paradigm aims to learn a studen...
Neural Networks, Computer Machine Learning Algorithms Humans Students
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Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important).

Journal of clinical epidemiology Aug 16, 2019
Biometry Algorithms Logistic Models Machine Learning
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Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

Clinical neurology and neurosurgery Aug 15, 2019
OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in predicting early enlargement of spontaneous intracerebral hemorrhage (SICH).
Middle Aged Disease Progression Support Vector Machine Cerebral Hemorrhage Female Image Processing, Computer-Assisted Hematoma Humans Aged Machine Learning Prognosis Male Algorithms Tomography, X-Ray Computed
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An improved fuzzy-differential evolution approach applied to classification of tumors in liver CT scan images.

Medical & biological engineering & computing Aug 15, 2019
Fuzzy inference systems have been frequently used in medical diagnosis for managing uncertainty sources in the medical images. In addition, fuzzy systems have high level of interpretability because of using linguistic terms for knowledge representati...
Algorithms Tomography, X-Ray Computed ROC Curve Humans Neural Networks, Computer Fuzzy Logic Area Under Curve Neoplasm Metastasis Liver Neoplasms Image Processing, Computer-Assisted
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A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

PloS one Aug 15, 2019
Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current reverse travelling wave multi-scale S-transformation energy entropy and limit learning machine is pr...
Computer Simulation Electricity Entropy Machine Learning Algorithms
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