AIMC Topic: Datasets as Topic

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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Software Pandemics COVID-19 Algorithms Humans Neural Networks, Computer Bayes Theorem Coronavirus Infections Datasets as Topic Pneumonia, Viral ROC Curve Logistic Models Support Vector Machine Decision Trees
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Decoding spectro-temporal representation for motor imagery recognition using ECoG-based brain-computer interfaces.

Journal of integrative neuroscience Jun 30, 2020
One of the challenges in brain-computer interface systems is obtaining motor imagery recognition from brain activities. Brain-signal decoding robustness and system performance improvement during the motor imagery process are two of the essential issu...
Electrocorticography Imagination Brain-Computer Interfaces Humans Cerebral Cortex Adult Motor Activity Support Vector Machine Signal Processing, Computer-Assisted Datasets as Topic Pattern Recognition, Automated
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Prediction of condition-specific regulatory genes using machine learning.

Nucleic acids research Jun 19, 2020
Recent advances in genomic technologies have generated data on large-scale protein-DNA interactions and open chromatin regions for many eukaryotic species. How to identify condition-specific functions of transcription factors using these data has bec...
Genes, Regulator Datasets as Topic Single-Cell Analysis Stress, Physiological Gene Expression Regulation, Plant Promoter Regions, Genetic Genes, Plant RNA-Seq Machine Learning Arabidopsis Proteins Gene Regulatory Networks Gene Expression Profiling Arabidopsis Transcription Factors Deep Learning
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Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.

International journal of neural systems Jun 1, 2020
In the context of neuro-pathological disorders, neuroimaging has been widely accepted as a clinical tool for diagnosing patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). The advanced deep learning method, a novel brain imagi...
Datasets as Topic Neuroimaging Magnetic Resonance Imaging Models, Neurological Alzheimer Disease Aged Aged, 80 and over Sensitivity and Specificity Male Humans Deep Learning Cognitive Dysfunction Female Support Vector Machine
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[Digital data for more efficient prevention: ethical and legal considerations regarding potentials and risks].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Jun 1, 2020
Digitization offers considerable potential for strengthening prevention in the healthcare system. Data from various clinical and nonclinical sources can be collected in a structured way and systematically processed using algorithms. Prevention needs ...
Humans Artificial Intelligence Bioethics Datasets as Topic Germany Morals Algorithms Delivery of Health Care Electronic Health Records
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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional d...
Computer Security Humans Computer Communication Networks Machine Learning Blockchain Algorithms Length of Stay Area Under Curve Delivery of Health Care Prognosis Decision Support Systems, Clinical Decision Support Systems, Management Female Datasets as Topic Genomics Male Logistic Models
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Accounting for data variability in multi-institutional distributed deep learning for medical imaging.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVES: Sharing patient data across institutions to train generalizable deep learning models is challenging due to regulatory and technical hurdles. Distributed learning, where model weights are shared instead of patient data, presents an attract...
Diabetic Retinopathy Deep Learning Diagnostic Imaging Datasets as Topic Pattern Recognition, Automated Radiography, Thoracic Health Information Exchange Computer Communication Networks Humans
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Deep learning takes on tumours.

Nature Apr 1, 2020
Datasets as Topic Cell Nucleus Neoplasms Humans Deep Learning Software Lung Neoplasms Breast Neoplasms Drug Evaluation, Preclinical
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Does BERT need domain adaptation for clinical negation detection?

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
INTRODUCTION: Classifying whether concepts in an unstructured clinical text are negated is an important unsolved task. New domain adaptation and transfer learning methods can potentially address this issue.
Datasets as Topic Information Storage and Retrieval Humans Medical Records Neural Networks, Computer Machine Learning Algorithms Natural Language Processing
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From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Biostatistics (Oxford, England) Apr 1, 2020
Mortality Biostatistics Biomedical Research Models, Theoretical Humans Causality Artificial Intelligence Datasets as Topic
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