AIMC Topic: Data Interpretation, Statistical

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Nonequilibrium Statistical Mechanics of Continuous Attractors.

Neural computation Apr 28, 2020
Continuous attractors have been used to understand recent neuroscience experiments where persistent activity patterns encode internal representations of external attributes like head direction or spatial location. However, the conditions under which ...
Place Cells Data Interpretation, Statistical Humans Neurons Space Perception Neural Networks, Computer
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Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

PloS one Apr 22, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose cha...
Logistic Models Data Interpretation, Statistical Selection Bias Propensity Score Research Design Computer Simulation Humans Surveys and Questionnaires Machine Learning Algorithms
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How to Approach and Interpret Studies on AI in Gastroenterology.

Gastroenterology Apr 6, 2020
Humans Artificial Intelligence Prognosis Models, Statistical Data Interpretation, Statistical Validation Studies as Topic Risk Factors Gastrointestinal Diseases Gastroenterology Risk Assessment
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Multiview learning for understanding functional multiomics.

PLoS computational biology Apr 2, 2020
The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification ...
Chlamydomonas reinhardtii Machine Learning Software Algorithms Data Interpretation, Statistical DNA Genomics Alzheimer Disease Computational Biology Brain High-Throughput Nucleotide Sequencing Humans Proteomics Single-Cell Analysis Cluster Analysis Metabolomics
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Data science and machine learning in anesthesiology.

Korean journal of anesthesiology Mar 25, 2020
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods that are largely inference-based, ML is geared more towards making accurate predictions. ML is a field of artificial intelligence concerned with devel...
Data Interpretation, Statistical Anesthesiology Data Science Humans Blood Glucose Machine Learning Databases, Factual Diabetes Mellitus Electronic Health Records
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One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.

Psychological methods Mar 5, 2020
Determining the number of factors is one of the most crucial decisions a researcher has to face when conducting an exploratory factor analysis. As no common factor retention criterion can be seen as generally superior, a new approach is proposed-comb...
Models, Statistical Factor Analysis, Statistical Data Interpretation, Statistical Psychology Humans Machine Learning
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Topological data analysis of zebrafish patterns.

Proceedings of the National Academy of Sciences of the United States of America Feb 25, 2020
Self-organized pattern behavior is ubiquitous throughout nature, from fish schooling to collective cell dynamics during organism development. Qualitatively these patterns display impressive consistency, yet variability inevitably exists within patter...
Algorithms Animals Machine Learning Zebrafish Skin Pigmentation Data Interpretation, Statistical Body Patterning Skin Cell Communication
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Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.

International journal of audiology Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Audiology Correction of Hearing Impairment Expert Systems Datasets as Topic Hearing Tests Humans Databases, Factual Data Interpretation, Statistical Probability Reproducibility of Results Models, Statistical
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ChronoMID-Cross-modal neural networks for 3-D temporal medical imaging data.

PloS one Feb 21, 2020
ChronoMID-neural networks for temporally-varying, hence Chrono, Medical Imaging Data-makes the novel application of cross-modal convolutional neural networks (X-CNNs) to the medical domain. In this paper, we present multiple approaches for incorporat...
Imaging, Three-Dimensional Mice Models, Theoretical Animals Machine Learning Data Interpretation, Statistical Neural Networks, Computer Mice, Inbred C57BL Spatio-Temporal Analysis Female Bone Remodeling Deep Learning X-Ray Microtomography
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Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial.

Trials Feb 14, 2020
BACKGROUND: Informal caregivers report substantial burden and depressive symptoms which predict higher rates of patient institutionalization. While caregiver education interventions may reduce caregiver distress and decrease the use of long-term inst...
Humans Machine Learning Male Middle Aged Quality of Life Depression Female Aged Aged, 80 and over Veterans Family Caregivers Follow-Up Studies Institutionalization Age Factors Long-Term Care Randomized Controlled Trials as Topic Stress, Psychological Data Interpretation, Statistical Cognitive Dysfunction Treatment Outcome
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