AIMC Topic: Algorithms

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An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans.

IEEE journal of biomedical and health informatics Nov 29, 2016
Having a system to stratify individuals according to risk is key to clinical disease prevention. This allows individuals identified at different risk tiers to benefit from further investigation and intervention. But the same risk score estimated for ...
Supervised Machine Learning Medical Informatics Diabetes Mellitus, Type 2 Cluster Analysis Models, Statistical Algorithms Databases, Factual Risk Assessment Humans
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The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Journal of bioinformatics and computational biology Nov 29, 2016
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer gra...
Algorithms Signal Transduction Databases, Factual Support Vector Machine Female Breast Neoplasms Humans Genomics DNA Methylation Machine Learning Gene Expression Regulation, Neoplastic Neoplasm Grading
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Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Principal Component Analysis DNA CD4-Positive T-Lymphocytes Transcription Factors Hep G2 Cells Cell Line K562 Cells Histones Binding Sites Primary Cell Culture Hepatocytes Gene Expression Regulation Organ Specificity Humans Cell Line, Tumor Protein Binding Machine Learning Algorithms Chromatin Chromatin Assembly and Disassembly Human Embryonic Stem Cells
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Boosting Docking-Based Virtual Screening with Deep Learning.

Journal of chemical information and modeling Nov 29, 2016
In this work, we propose a deep learning approach to improve docking-based virtual screening. The deep neural network that is introduced, DeepVS, uses the output of a docking program and learns how to extract relevant features from basic data such as...
Algorithms Humans Neural Networks, Computer Molecular Docking Simulation Software Proteins Computer-Aided Design Drug Design Ligands ROC Curve
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A Self-Adaptive Fuzzy -Means Algorithm for Determining the Optimal Number of Clusters.

Computational intelligence and neuroscience Nov 29, 2016
For the shortcoming of fuzzy -means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method to determine the optimal number of clusters. Firstly, a density-based algorithm was put forward. The...
Algorithms Fuzzy Logic Cluster Analysis Humans Datasets as Topic Pattern Recognition, Automated
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Automatic Construction and Global Optimization of a Multisentiment Lexicon.

Computational intelligence and neuroscience Nov 29, 2016
Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of doma...
Data Interpretation, Statistical Data Mining Semantics Neural Networks, Computer Algorithms Support Vector Machine Natural Language Processing Humans
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Multiview Convolutional Neural Networks for Multidocument Extractive Summarization.

IEEE transactions on cybernetics Nov 28, 2016
Multidocument summarization has gained popularity in many real world applications because vital information can be extracted within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sente...
Neural Networks, Computer Machine Learning Data Mining Algorithms Natural Language Processing
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The Human Phenotype Ontology in 2017.

Nucleic acids research Nov 28, 2016
Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.hum...
Rare Diseases Phenotype Precision Medicine Genomics Translational Research, Biomedical Humans Biological Ontologies Software Algorithms Genetic Association Studies Computational Biology
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Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy.

International journal of radiation oncology, biology, physics Nov 27, 2016
PURPOSE: This work presents the application of a machine learning (ML) algorithm to automatically generate high-quality, prostate low-dose-rate (LDR) brachytherapy treatment plans. The ML algorithm can mimic characteristics of preoperative treatment ...
Treatment Outcome Radiometry Prostatic Neoplasms Brachytherapy Reproducibility of Results Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Sensitivity and Specificity Radiotherapy, Image-Guided Dose-Response Relationship, Radiation Machine Learning Male Algorithms
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Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data.

Computers in biology and medicine Nov 27, 2016
Chairside manufacturing based on digital image acquisition is gainingincreasing importance in dentistry. For the standardized application of these methods, it is paramount to have highly automated digital workflows that can process acquired 3D image ...
Algorithms Models, Dental Humans Imaging, Three-Dimensional Tooth Neural Networks, Computer Machine Learning
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