AIMC Topic:
Databases, Factual

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NFN＋: A novel network followed network for retinal vessel segmentation.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2020
In the early diagnosis of diabetic retinopathy, the morphological attributes of blood vessels play an essential role to construct a retinal computer-aided diagnosis system. However, due to the challenges including limited densely annotated data, inte...
Databases, Factual Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Diabetic Neuropathies Retinal Vessels Humans Neural Networks, Computer Algorithms
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Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related deaths have risen at alarming rates. Combating opioid epidemic becomes a high priority for not only governments but also healthcare providers. This d...
Analgesics, Opioid Humans New York Electronic Health Records Opioid-Related Disorders Machine Learning United States Drug Overdose Databases, Factual Models, Statistical
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Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Using electronic health data to predict adverse drug reaction (ADR) incurs practical challenges, such as lack of adequate data from any single site for rare ADR detection, resource constraints on integrating data from multiple sources, and privacy co...
Support Vector Machine Humans Drug-Related Side Effects and Adverse Reactions Databases, Factual Machine Learning Adverse Drug Reaction Reporting Systems Electronic Health Records Logistic Models
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A Residual Based Attention Model for EEG Based Sleep Staging.

IEEE journal of biomedical and health informatics Mar 3, 2020
Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis and treatment of sleep disorders. As manual sleep staging through well-train...
Female Aged Young Adult Humans Neural Networks, Computer Databases, Factual Deep Learning Adult Electroencephalography Male Signal Processing, Computer-Assisted Middle Aged Sleep Stages
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Canadian Radiology in the Age of Artificial Intelligence: A Golden Opportunity.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 27, 2020
Confidentiality Canada Decision Making Radiology Humans Artificial Intelligence Databases, Factual
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An Application of Machine Learning in Pharmacovigilance: Estimating Likely Patient Genotype From Phenotypical Manifestations of Fluoropyrimidine Toxicity.

Clinical pharmacology and therapeutics Feb 27, 2020
Dihydropyrimidine dehydrogenase (DPD)-deficient patients might only become aware of their genotype after exposure to dihydropyrimidines, if testing is performed. Case reports to pharmacovigilance databases might only contain phenotypical manifestatio...
Phenotype Humans Fluorouracil Dihydropyrimidine Dehydrogenase Deficiency Databases, Factual Machine Learning Pharmacovigilance Genotype Antimetabolites, Antineoplastic
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Exploration and Evaluation of Machine Learning-Based Models for Predicting Enzymatic Reactions.

Journal of chemical information and modeling Feb 27, 2020
Unannotated gene sequences in databases are increasing due to sequencing advances. Therefore, computational methods to predict functions of unannotated genes are needed. Moreover, novel enzyme discovery for metabolic engineering applications further ...
Databases, Factual Machine Learning Computational Biology Algorithms Amino Acid Sequence
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Parametric Deformable Exponential Linear Units for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2020
Rectified activation units make an important contribution to the success of deep neural networks in many computer vision tasks. In this paper, we propose a Parametric Deformable Exponential Linear Unit (PDELU) and theoretically verify its effectivene...
Databases, Factual Deep Learning Pattern Recognition, Automated
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Imaging research in fibrotic lung disease; applying deep learning to unsolved problems.

The Lancet. Respiratory medicine Feb 25, 2020
Over the past decade, there has been a groundswell of research interest in computer-based methods for objectively quantifying fibrotic lung disease on high resolution CT of the chest. In the past 5 years, the arrival of deep learning-based image anal...
Humans Pulmonary Fibrosis Machine Learning Male Image Interpretation, Computer-Assisted Forecasting Deep Learning Radiography, Thoracic Tomography, X-Ray Computed Cohort Studies Databases, Factual Female Retrospective Studies
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Male Middle Aged Risk Assessment Aged, 80 and over Young Adult Adult Urinary Bladder Neoplasms Data Mining Data Collection Genetic Heterogeneity Adolescent Incidence Genetic Predisposition to Disease Humans Machine Learning Databases, Factual Female Risk Factors Aged Utah Pedigree Neoplastic Syndromes, Hereditary
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