AIMC Topic: Data Interpretation, Statistical

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Prioritising references for systematic reviews with RobotAnalyst: A user study.

Research synthesis methods Jul 30, 2018
Screening references is a time-consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be reduced by using machine learning software to prioritise large reference collections such t...
Humans Machine Learning Software Cluster Analysis Algorithms Data Interpretation, Statistical Retrospective Studies Switzerland Reproducibility of Results Review Literature as Topic Data Mining
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A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.

Artificial intelligence in medicine Jul 14, 2018
Advancements are constantly being made in oncology, improving prevention and treatment of cancers. To help reduce the impact and deadliness of cancers, they must be detected early. Additionally, there is a risk of cancers recurring after potentially ...
Humans Risk Factors Risk Assessment Neoplasms Diagnosis, Computer-Assisted Nomograms Machine Learning Decision Support Techniques Electronic Health Records Clinical Decision-Making Data Mining Early Detection of Cancer Recurrence Decision Trees Data Interpretation, Statistical Neoplasm Staging
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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Scientific reports Jul 13, 2018
Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of p...
Sleep, REM Sleep Latency Stochastic Processes Rare Diseases Narcolepsy Polysomnography Female Young Adult Adult Humans Male Models, Biological ROC Curve Databases, Factual Supervised Machine Learning Datasets as Topic Data Interpretation, Statistical
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Marginal Structural Models with Counterfactual Effect Modifiers.

The international journal of biostatistics Jun 8, 2018
UNLABELLED: In health and social sciences, research questions often involve systematic assessment of the modification of treatment causal effect by patient characteristics. In longitudinal settings, time-varying or post-intervention effect modifiers ...
Humans Machine Learning Computer Simulation Effect Modifier, Epidemiologic Models, Statistical Data Interpretation, Statistical
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Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival.

Statistics in medicine Jun 4, 2018
Random forests are a popular nonparametric tree ensemble procedure with broad applications to data analysis. While its widespread popularity stems from its prediction performance, an equally important feature is that it provides a fully nonparametric...
Confidence Intervals Random Allocation Statistics as Topic Models, Statistical Regression Analysis Data Interpretation, Statistical Bias Humans Machine Learning
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A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Reproducibility of Results Blood Pressure Risk Factors Data Interpretation, Statistical Aged Hypertension Sex Factors Pattern Recognition, Automated Humans Aged, 80 and over Diabetes Mellitus Hypercholesterolemia Linear Models Machine Learning Male Follow-Up Studies Young Adult Prospective Studies Diet Models, Statistical Cardiovascular Diseases Adult Female Risk Assessment Middle Aged Adolescent Incidence
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An Integrated Neural Framework for Dynamic and Static Face Processing.

Scientific reports May 4, 2018
Faces convey rich information including identity, gender and expression. Current neural models of face processing suggest a dissociation between the processing of invariant facial aspects such as identity and gender, that engage the fusiform face are...
Facial Recognition Magnetic Resonance Imaging Data Interpretation, Statistical Humans Young Adult Face Neural Networks, Computer Adult Female Facial Expression Male Adolescent
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Journal of medical systems Apr 10, 2018
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-base...
Bayes Theorem Machine Learning Body Weights and Measures Decision Support Techniques Age Distribution Female Sex Distribution Reproducibility of Results United States Humans Adult Diabetes Mellitus Neural Networks, Computer Male Indians, North American Artificial Intelligence Middle Aged Blood Pressure Blood Glucose Data Interpretation, Statistical
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Statistics versus machine learning.

Nature methods Apr 3, 2018
Gene Expression Regulation Machine Learning Models, Genetic Data Interpretation, Statistical
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Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

Frontiers in immunology Feb 21, 2018
The adaptive immune system recognizes antigens an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in...
Data Interpretation, Statistical Autoimmune Diseases Neoplasms Humans High-Throughput Nucleotide Sequencing HIV Infections Machine Learning Receptors, Immunologic Computational Biology Software Signal Transduction Adaptive Immunity Animals
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