AIMC Topic: Datasets as Topic

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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...
Neuroimaging Models, Neurological Alzheimer Disease Datasets as Topic Aged, 80 and over Sensitivity and Specificity Male Support Vector Machine Magnetic Resonance Imaging Deep Learning Cognitive Dysfunction Humans Female Aged
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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 Algorithms Bioethics Germany Delivery of Health Care Datasets as Topic Morals 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...
Decision Support Systems, Management Datasets as Topic Computer Security Computer Communication Networks Blockchain Genomics Logistic Models Area Under Curve Male Length of Stay Decision Support Systems, Clinical Humans Machine Learning Algorithms Prognosis Delivery of Health Care Female
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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...
Datasets as Topic Pattern Recognition, Automated Radiography, Thoracic Diabetic Retinopathy Deep Learning Diagnostic Imaging Health Information Exchange Computer Communication Networks Humans
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Deep learning takes on tumours.

Nature Apr 1, 2020
Deep Learning Lung Neoplasms Drug Evaluation, Preclinical Datasets as Topic Cell Nucleus Software Breast Neoplasms Neoplasms Humans
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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.
Humans Medical Records Natural Language Processing Neural Networks, Computer Datasets as Topic Machine Learning Information Storage and Retrieval Algorithms
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From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Biostatistics (Oxford, England) Apr 1, 2020
Artificial Intelligence Biomedical Research Models, Theoretical Causality Humans Datasets as Topic Mortality Biostatistics
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Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.

Briefings in bioinformatics Mar 23, 2020
Cancer is well recognized as a complex disease with dysregulated molecular networks or modules. Graph- and rule-based analytics have been applied extensively for cancer classification as well as prognosis using large genomic and other data over the p...
Data Mining Datasets as Topic Algorithms Prognosis Neoplasms Genomics Humans Machine Learning
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Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.

Briefings in bioinformatics Mar 23, 2020
An important problem in bioinformatics consists of identifying the most important features (or predictors), among a large number of features in a given classification dataset. This problem is often addressed by using a machine learning-based feature ...
Machine Learning Computational Biology Datasets as Topic
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Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.

Clinical and translational gastroenterology Mar 1, 2020
OBJECTIVES: A superficial nonampullary duodenal epithelial tumor (SNADET) is defined as a mucosal or submucosal sporadic tumor of the duodenum that does not arise from the papilla of Vater. SNADETs rarely metastasize to the lymph nodes, and most can ...
Datasets as Topic Neoplasms, Glandular and Epithelial Aged, 80 and over Image Processing, Computer-Assisted Duodenal Neoplasms Middle Aged Endoscopy, Digestive System Humans Adult Duodenum Female Deep Learning Tumor Burden Male Aged Time Factors
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