AIMC Topic: Datasets as Topic

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Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

Briefings in bioinformatics Mar 22, 2021
Promoters are short consensus sequences of DNA, which are responsible for transcription activation or the repression of all genes. There are many types of promoters in bacteria with important roles in initiating gene transcription. Therefore, solving...
Escherichia coli Genes, Bacterial Datasets as Topic Promoter Regions, Genetic Machine Learning Reproducibility of Results
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Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, import...
Data Mining Datasets as Topic Peptic Ulcer Hemorrhage Risk Assessment Deep Learning Models, Theoretical Humans Neural Networks, Computer Precision Medicine Prognosis
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Racism Neural Networks, Computer Machine Learning Support Vector Machine Social Media Influenza, Human Influenza Vaccines Datasets as Topic Black or African American Humans
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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...
Disclosure Machine Learning Data Management Bayes Theorem Humans Neural Networks, Computer Confidentiality Data Anonymization Information Dissemination Datasets as Topic
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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 ...
Humans Machine Learning Prognosis Electronic Health Records Models, Statistical Chronic Disease Area Under Curve Tertiary Care Centers Lung Diseases Cardiovascular Diseases Patient Readmission Datasets as Topic Neoplasms Cohort Studies Treatment Outcome Female Hospitalization Male
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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).
Intensive Care Units Communication Natural Language Processing Datasets as Topic Machine Learning Retrospective Studies Critical Illness Humans Family Professional-Family Relations
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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...
Humans Machine Learning Data Accuracy Information Dissemination Datasets as Topic Computer Communication Networks Adult COVID-19 Male Female Middle Aged Aged Patient Acuity
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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...
Facial Paralysis Female Datasets as Topic Aged Humans Face Aged, 80 and over Facial Asymmetry Machine Learning Young Adult Software Photography Severity of Illness Index Synkinesis Diagnosis, Computer-Assisted Adult Disability Evaluation Male Feasibility Studies Middle Aged
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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...
Datasets as Topic Nerve Net Pattern Recognition, Visual Visual Cortex Child Unsupervised Machine Learning Neurons Humans Macaca Neural Networks, Computer Animals
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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...
Hemorrhage Mortality Acute Coronary Syndrome Female Humans Datasets as Topic Adult Machine Learning Male Clinical Decision-Making Postoperative Complications
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