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Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Smart healthcare has been applied in many fields such as disease surveillance and telemedicine, etc. However, there are some challenges for device deployment, data collection and guarantee of stainability in regional disease surveillance. First, it i...
Machine Learning Algorithms Models, Statistical Unmanned Aerial Devices Public Health Surveillance Telemedicine Humans
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GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Grant support (GS) in the MEDLINE database refers to funding agencies and contract numbers. It is important for funding organizations to track their funding outcomes from the GS information. As such, how to accurately and automatically extract fundin...
MEDLINE National Library of Medicine (U.S.) Financing, Organized United States Models, Statistical Data Mining Deep Learning
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CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Improving the accuracy of predicting protein crystallization is very important for protein crystallization projects, which is a critical step for the determination of protein structure by X-ray crystallography. At present, many machine learning metho...
Proteins Crystallization Sequence Analysis, Protein Position-Specific Scoring Matrices Computational Biology Support Vector Machine Models, Statistical
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Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

Anxiety, stress, and coping Jan 26, 2021
OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.
Fear Mass Media Surveys and Questionnaires Socioeconomic Factors Humans Models, Statistical Cross-Sectional Studies Machine Learning Male COVID-19 Anxiety Disorders Female China SARS-CoV-2 Adult
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Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Our previous research shows that structured cancer DX description data accuracy varied across electronic health record (EHR) segments (e.g. encounter DX, problem list, etc.). We provide initial evidence corroborating these findings in EHRs from patie...
Diabetes Mellitus Glycated Hemoglobin Humans Odds Ratio Models, Statistical Machine Learning Datasets as Topic Chronic Disease Electronic Health Records Medical Informatics
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DeepCompete : A deep learning approach to competing risks in continuous time domain.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
An increasing number of people survive longer ages leading to a growing population of people 65 years of age or older. A large percentage of this population is afflicted with multiple acute diseases (multi-morbidity). Clinicians need new tools to qua...
Models, Statistical Survival Analysis Risk Aged Humans Deep Learning
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Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Choroidal Neovascularization Geographic Atrophy Neural Networks, Computer Female Aged Male Middle Aged Aged, 80 and over Sensitivity and Specificity Humans Vascular Endothelial Growth Factor A Intravitreal Injections Models, Statistical Deep Learning Receptors, Vascular Endothelial Growth Factor Recombinant Fusion Proteins Visual Acuity ROC Curve Ranibizumab Retinal Drusen Tomography, Optical Coherence Angiogenesis Inhibitors Wet Macular Degeneration
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Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100.

AJNR. American journal of neuroradiology Jan 7, 2021
BACKGROUND AND PURPOSE: Traditional statistical models and pretreatment scoring systems have been used to predict the outcome for acute ischemic stroke patients (AIS). Our aim was to select the most relevant features in terms of outcome prediction on...
Ischemic Stroke Thrombolytic Therapy Endovascular Procedures Female Aged Machine Learning Male Prognosis Humans Treatment Outcome Retrospective Studies Models, Statistical Middle Aged Cohort Studies
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MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanism.

BMC bioinformatics Jan 6, 2021
BACKGROUND: Accurate prediction of binding between class I human leukocyte antigen (HLA) and neoepitope is critical for target identification within personalized T-cell based immunotherapy. Many recent prediction tools developed upon the deep learnin...
Humans Neural Networks, Computer Algorithms Models, Statistical Histocompatibility Antigens Class I Peptides Protein Binding Computational Biology
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The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning.

Environmental health perspectives Jan 5, 2021
Humans Machine Learning Health Status Indicators Data Visualization COVID-19 Vulnerable Populations Models, Statistical
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