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Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges

IEEE reviews in biomedical engineering, 2020, Vol.13, p.113-129

2020

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Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework

IEEE transactions on cybernetics, 2022-08, Vol.52 (8), p.7441-7452

2022

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Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis

IEEE transactions on fuzzy systems, 2021-08, Vol.29 (8), p.2112-2121

2021

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Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

PloS one, 2016-05, Vol.11 (5), p.e0154515-e0154515

2016

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Type-Reduction of General Type-2 Fuzzy Sets: The Type-1 OWA Approach

International journal of intelligent systems, 2013-05, Vol.28 (5), p.505-522

2013

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Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

IEEE journal of translational engineering in health and medicine, 2021-01, Vol.9, p.1-13

2021

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Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records

Pediatric obesity, 2019-07, Vol.14 (7), p.e12512-n/a

2019

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Identifying Prenatal and Postnatal Determinants of Infant Growth: A Structural Equation Modelling Based Cohort Analysis

International journal of environmental research and public health, 2021-09, Vol.18 (19), p.10265

2021

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Physical activity and excess weight in pregnancy have independent and unique effects on delivery and perinatal outcomes

PloS one, 2014-04, Vol.9 (4), p.e94532-e94532

2014

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Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users

JMIR human factors, 2022-03, Vol.9 (1), p.e31021-e31021

2022

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Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

Neurocomputing (Amsterdam), 2019-05, Vol.343, p.154-166

2019

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The effect of physical activity and motivation on function in ankylosing spondylitis: A cohort study

Seminars in arthritis and rheumatism, 2013-06, Vol.42 (6), p.619-626

2013

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Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments

IEEE transactions on knowledge and data engineering, 2011-10, Vol.23 (10), p.1455-1468

2011

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Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

Diagnostics (Basel), 2023-01, Vol.13 (2), p.301

2023

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Association of diabetes in pregnancy with child weight at birth, age 12 months and 5 years--a population-based electronic cohort study

PloS one, 2013-11, Vol.8 (11), p.e79803-e79803

2013

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Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective

Journal of personalized medicine, 2022-01, Vol.12 (1), p.86

2022

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Incidence of Campylobacter and Salmonella infections following first prescription for PPI: a cohort study using routine data

The American journal of gastroenterology, 2013-07, Vol.108 (7), p.1094-1100

2013

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Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework

Diagnostics (Basel), 2021-10, Vol.11 (10), p.1908

2021

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No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data

Seminars in arthritis and rheumatism, 2012-10, Vol.42 (2), p.140-145

2012

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Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking

IEEE transactions on fuzzy systems, 2007-06, Vol.15 (3), p.398-409

2007

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Light source detection for digital images in noisy scenes: a neural network approach

Neural computing & applications, 2017-05, Vol.28 (5), p.899-909

2017

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Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity

BMJ open, 2015-05, Vol.5 (5), p.e007447-e007447

2015

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Constructing compact Takagi-Sugeno rule systems: identification of complex interactions in epidemiological data

PloS one, 2012-12, Vol.7 (12), p.e51468-e51468

2012

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Concept libraries for automatic electronic health record based phenotyping: A review

International journal of population data science, 2021-06, Vol.6 (1), p.1362

2021

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Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

Fuzzy sets and systems, 2008-12, Vol.159 (23), p.3091-3131

2008

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Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges

Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework

Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

Type-Reduction of General Type-2 Fuzzy Sets: The Type-1 OWA Approach

Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records

Identifying Prenatal and Postnatal Determinants of Infant Growth: A Structural Equation Modelling Based Cohort Analysis

Physical activity and excess weight in pregnancy have independent and unique effects on delivery and perinatal outcomes

Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users

Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

The effect of physical activity and motivation on function in ankylosing spondylitis: A cohort study

Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments

Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

Association of diabetes in pregnancy with child weight at birth, age 12 months and 5 years--a population-based electronic cohort study

Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective

Incidence of Campylobacter and Salmonella infections following first prescription for PPI: a cohort study using routine data

Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework

No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data

Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking

Light source detection for digital images in noisy scenes: a neural network approach

Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity

Constructing compact Takagi-Sugeno rule systems: identification of complex interactions in epidemiological data

Concept libraries for automatic electronic health record based phenotyping: A review

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

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