AIMC Topic: Research Design

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Translating promise into practice: a review of machine learning in suicide research and prevention.

The lancet. Psychiatry Mar 1, 2022
In ever more pressured health-care systems, technological solutions offering scalability of care and better resource targeting are appealing. Research on machine learning as a technique for identifying individuals at risk of suicidal ideation, suicid...
Suicidal Ideation Machine Learning Research Design Decision Support Techniques Suicide, Attempted Humans
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Developing Specific Reporting Standards in Artificial Intelligence Centred Research.

Annals of surgery Mar 1, 2022
Research Design Biomedical Research Artificial Intelligence
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A new MAGDM method with 2-tuple linguistic bipolar fuzzy Heronian mean operators.

Mathematical biosciences and engineering : MBE Feb 10, 2022
In this article, we introduce the 2-tuple linguistic bipolar fuzzy set (2TLBFS), a new strategy for dealing with uncertainty that incorporates a 2-tuple linguistic term into bipolar fuzzy set. The 2TLBFS is a better way to deal with uncertain and imp...
Fuzzy Logic Decision Making Research Design Uncertainty Linguistics
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Artificial intelligence in clinical research of cancers.

Briefings in bioinformatics Jan 17, 2022
Several factors, including advances in computational algorithms, the availability of high-performance computing hardware, and the assembly of large community-based databases, have led to the extensive application of Artificial Intelligence (AI) in th...
Artificial Intelligence Algorithms Research Design Databases, Factual Humans Deep Learning Neoplasms
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LR-GNN: a graph neural network based on link representation for predicting molecular associations.

Briefings in bioinformatics Jan 17, 2022
In biomedical networks, molecular associations are important to understand biological processes and functions. Many computational methods, such as link prediction methods based on graph neural networks (GNNs), have been successfully applied in discov...
Drug Interactions Cell Communication Biomedical Technology Protein Interaction Domains and Motifs MicroRNAs RNA, Long Noncoding Computational Biology Neural Networks, Computer Algorithms Research Design Deep Learning Humans
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FedSPL: federated self-paced learning for privacy-preserving disease diagnosis.

Briefings in bioinformatics Jan 17, 2022
The growing expansion of data availability in medical fields could help improve the performance of machine learning methods. However, with healthcare data, using multi-institutional datasets is challenging due to privacy and security concerns. Theref...
Machine Learning Research Design Humans Privacy
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Evaluating Representation Learning and Graph Layout Methods for Visualization.

IEEE computer graphics and applications Jan 1, 2022
Graphs and other structured data have come to the forefront in machine learning over the past few years due to the efficacy of novel representation learning methods boosting the prediction performance in various tasks. Representation learning methods...
Research Design Empirical Research Machine Learning Algorithms
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A systematic review on natural language processing systems for eligibility prescreening in clinical research.

Journal of the American Medical Informatics Association : JAMIA Dec 28, 2021
OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.
Eligibility Determination Data Management Checklist Humans Natural Language Processing Research Design
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[Predicting prolonged length of intensive care unit stay machine learning].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Dec 18, 2021
OBJECTIVE: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU patients, based on three machine learning models support vector machine (SVM), classification and regression tree (CART), and random forest (RF), and...
Male Middle Aged Aged Humans Research Design Machine Learning Intensive Care Units
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Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers.

Studies in health technology and informatics Dec 15, 2021
Complexity and domain-specificity make medical text hard to understand for patients and their next of kin. To simplify such text, this paper explored how word and character level information can be leveraged to identify medical terms when training da...
Neural Networks, Computer Humans Research Design
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