AIMC Topic: Reproducibility of Results

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Max-margin weight learning for medical knowledge network.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: The application of medical knowledge strongly affects the performance of intelligent diagnosis, and method of learning the weights of medical knowledge plays a substantial role in probabilistic graphical models (PGMs). The p...
Computer Graphics Models, Statistical Signal Processing, Computer-Assisted Markov Chains Likelihood Functions Diagnosis, Computer-Assisted China Models, Theoretical Humans Neural Networks, Computer Machine Learning Algorithms Electronic Health Records Reproducibility of Results
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Using optical tracking for kinematic testing of medical robots.

The international journal of medical robotics + computer assisted surgery : MRCAS Jan 10, 2018
BACKGROUND: In image-guided robotic interventions, an error component is related to the positioning error of the manipulator. Therefore, measuring the kinematic error is required during robot development. However, no specialized measurement device ex...
Humans Reproducibility of Results Biomechanical Phenomena Robotics Sample Size
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Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition.

Journal of chemical information and modeling Jan 10, 2018
Inspired by natural language processing techniques, we here introduce Mol2vec, which is an unsupervised machine learning approach to learn vector representations of molecular substructures. Like the Word2vec models, where vectors of closely related w...
Molecular Structure Models, Chemical Datasets as Topic Protein Conformation Proteins Unsupervised Machine Learning Natural Language Processing Algorithms Reproducibility of Results
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ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.

IEEE/ACM transactions on computational biology and bioinformatics Jan 5, 2018
As one of the most challenging tasks in sequence analysis, protein remote homology detection has been extensively studied. Methods based on discriminative models and ranking approaches have achieved the state-of-the-art performance, and these two kin...
Databases, Protein Sequence Homology, Amino Acid Reproducibility of Results Amino Acid Motifs Neural Networks, Computer Sequence Analysis, Protein Computational Biology Software Support Vector Machine Humans Proteins Algorithms Databases, Factual
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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Models, Statistical Regression Analysis Heart Potassium Electrophysiology Terfenadine Anti-Arrhythmia Agents Calcium Arrhythmias, Cardiac Ions Observer Variation Algorithms Clinical Trials as Topic Humans Cell Membrane Reproducibility of Results Sodium Artificial Intelligence Risk Electrocardiography Programming Languages Software Action Potentials Myocytes, Cardiac
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Neural Networks, Computer Brain Reproducibility of Results Time Factors Humans False Negative Reactions False Positive Reactions Wavelet Analysis Brain Waves Cloud Computing Electrocorticography Support Vector Machine Electroencephalography Brain Mapping Seizures Predictive Value of Tests Signal Processing, Computer-Assisted Automation
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Support vector machine classifier for prediction of the metastasis of colorectal cancer.

International journal of molecular medicine Jan 2, 2018
Colorectal cancer (CRC) is one of the most common cancers and a major cause of mortality. The present study aimed to identify potential biomarkers for CRC metastasis and uncover the mechanisms underlying the etiology of the disease. The five datasets...
Quality Control Neoplasm Metastasis Gene Expression Regulation, Neoplastic Support Vector Machine Databases, Genetic Humans Reproducibility of Results Colorectal Neoplasms Gene Expression Profiling Cell Line, Tumor Protein Interaction Maps
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Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature.

Database : the journal of biological databases and curation Jan 1, 2018
OBJECTIVE: A major challenge in precision medicine is the development of patient-specific genetic biomarkers or drug targets. The firsthand information of the genes associated with the pathologic pathways of interest is buried in the ocean of biomedi...
Biomedical Research Machine Learning Publications Algorithms Semantics Reproducibility of Results Gene Ontology
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Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is ...
Mutation Neural Networks, Computer Data Mining Algorithms Protein Interaction Maps Reproducibility of Results Models, Theoretical Support Vector Machine Databases, Protein
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Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Frontiers in bioscience (Landmark edition) Jan 1, 2018
Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of AD with a deep 3D Convolutional Neural Network (3D-CNN), which can show generic features capturing A...
Sensitivity and Specificity Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Algorithms Reproducibility of Results
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