AIMC Topic: Algorithms

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Development of a Supervised Learning Algorithm for Detection of Potential Disease Reemergence: A Proof of Concept.

Health security Jan 1, 2019
Infectious disease reemergence is an important yet ambiguous concept that lacks a quantitative definition. Currently, reemergence is identified without specific criteria describing what constitutes a reemergent event. This practice affects reproducib...
Supervised Machine Learning Medical Informatics Communicable Diseases, Emerging Algorithms Disease Outbreaks Humans
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Why Open-Endedness Matters.

Artificial life Jan 1, 2019
Rather than acting as a review or analysis of the field, this essay focuses squarely on the motivations for investigating open-endedness and the opportunities it opens up. It begins by contemplating the awesome accomplishments of evolution in nature ...
Computational Biology Models, Theoretical Biological Evolution Artificial Intelligence Algorithms
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New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
Ultrasonography, Mammary Breast Neoplasms Algorithms Humans Breast Mammography Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Female Radiographic Image Interpretation, Computer-Assisted
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Three Problems with Big Data and Artificial Intelligence in Medicine.

Perspectives in biology and medicine Jan 1, 2019
The rise of big data and artificial intelligence (AI) in health care has engendered considerable excitement, claiming to improve approaches to diagnosis, prognosis, and treatment. Amidst the enthusiasm, the philosophical assumptions that underlie the...
Humans Artificial Intelligence Algorithms Delivery of Health Care Big Data Reproducibility of Results Biological Ontologies
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A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer l...
Deep Learning ROC Curve Magnetic Resonance Imaging Area Under Curve Image Processing, Computer-Assisted Reproducibility of Results Male Neural Networks, Computer Algorithms Humans Prostatic Neoplasms Image Interpretation, Computer-Assisted
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Recent Advances in Machine Learning Based Prediction of RNA-protein Interactions.

Protein and peptide letters Jan 1, 2019
The interactions between RNAs and proteins play critical roles in many biological processes. Therefore, characterizing these interactions becomes critical for mechanistic, biomedical, and clinical studies. Many experimental methods can be used to det...
RNA-Binding Proteins Hydrophobic and Hydrophilic Interactions Algorithms Machine Learning RNA Molecular Dynamics Simulation Nucleic Acid Conformation Computational Biology
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Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Least-Squares Analysis Radiation Dosage Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Machine Learning Algorithms
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Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data.
Artifacts Signal-To-Noise Ratio Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Machine Learning Algorithms
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Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling.

Studies in health technology and informatics Jan 1, 2019
We study the way dynamics affects modelling in chronic heart failure (CHF) tasks. By dynamics we understand the patient history and the appearance of new events, states and variables changing in time. The goal is to understand what impact past data h...
Algorithms Forecasting Logistic Models Humans Machine Learning Decision Trees Heart Failure
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Using Machine Learning for Personalized Patient Adherence Level Determination.

Studies in health technology and informatics Jan 1, 2019
The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform. We analyzed different medical data coll...
Machine Learning Patient Compliance Humans Fuzzy Logic Algorithms Neural Networks, Computer
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