AIMC Topic: Datasets as Topic

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Application of Bayesian networks to generate synthetic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a real dataset that could be employed by medical organizations to distribute health data to researchers, reducing the need for access to real data. We h...
Humans Neural Networks, Computer Disclosure Machine Learning Data Management Datasets as Topic Bayes Theorem Confidentiality Data Anonymization Information Dissemination
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A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide variety of machine learning (ML) models have been suggested to predict unplanned hospital readmissions. These ML models were often specifically trained on ...
Lung Diseases Patient Readmission Datasets as Topic Models, Statistical Chronic Disease Area Under Curve Tertiary Care Centers Electronic Health Records Female Hospitalization Male Humans Cardiovascular Diseases Machine Learning Neoplasms Prognosis Cohort Studies Treatment Outcome
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Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: To apply natural language processing (NLP) techniques to identify individual events and modes of communication between healthcare professionals and families of critically ill patients from electronic medical records (EMR).
Communication Datasets as Topic Natural Language Processing Machine Learning Humans Family Retrospective Studies Professional-Family Relations Critical Illness Intensive Care Units
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Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.

Journal of the American Medical Informatics Association : JAMIA Feb 15, 2021
OBJECTIVE: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We...
Adult Male Middle Aged Patient Acuity Machine Learning COVID-19 Female Aged Data Accuracy Information Dissemination Datasets as Topic Computer Communication Networks Humans
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The Auto-eFACE: Machine Learning-Enhanced Program Yields Automated Facial Palsy Assessment Tool.

Plastic and reconstructive surgery Feb 1, 2021
BACKGROUND: Facial palsy assessment is nonstandardized. Clinician-graded scales are limited by subjectivity and observer bias. Computer-aided grading would be desirable to achieve conformity in facial palsy assessment and to compare the effectiveness...
Feasibility Studies Facial Paralysis Datasets as Topic Face Middle Aged Facial Asymmetry Severity of Illness Index Photography Software Diagnosis, Computer-Assisted Synkinesis Aged, 80 and over Female Disability Evaluation Young Adult Aged Adult Humans Male Machine Learning
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Unsupervised neural network models of the ventral visual stream.

Proceedings of the National Academy of Sciences of the United States of America Jan 19, 2021
Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However, such networks have remained implausible as a model of the development of the ventral stream...
Visual Cortex Macaca Humans Neurons Neural Networks, Computer Datasets as Topic Animals Nerve Net Child Pattern Recognition, Visual Unsupervised Machine Learning
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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

Lancet (London, England) Jan 16, 2021
BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management strategies. We developed a machine learning-based risk stratifica...
Acute Coronary Syndrome Humans Datasets as Topic Adult Machine Learning Mortality Clinical Decision-Making Female Male Postoperative Complications Hemorrhage
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Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.

Nucleic acids research Jan 11, 2021
Assessing the causal tissues of human complex diseases is important for the prioritization of trait-associated genetic variants. Yet, the biological underpinnings of trait-associated variants are extremely difficult to infer due to statistical noise ...
Humans Deep Learning Transcription Factors Causality Epigenome Chromatin Immunoprecipitation Datasets as Topic Organ Specificity Histone Code Genome-Wide Association Study Molecular Sequence Annotation Polymorphism, Single Nucleotide Epigenomics Binding Sites Models, Genetic Linkage Disequilibrium Genetic Diseases, Inborn
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Open Targets Platform: supporting systematic drug-target identification and prioritisation.

Nucleic acids research Jan 8, 2021
The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicl...
Databases, Factual Neoplasms Drug Discovery Antineoplastic Agents Internet Knowledge Bases Humans Datasets as Topic Drugs, Investigational Molecular Targeted Therapy Software
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FireProtDB: database of manually curated protein stability data.

Nucleic acids research Jan 8, 2021
The majority of naturally occurring proteins have evolved to function under mild conditions inside the living organisms. One of the critical obstacles for the use of proteins in biotechnological applications is their insufficient stability at elevate...
Protein Stability Datasets as Topic Molecular Sequence Annotation Point Mutation Machine Learning Proteins Software Databases, Protein Computational Biology Models, Molecular Internet
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