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Data Science and Predictive Analytics: Biomedical and Health Applications using R

Dinov, Ivo D

1st ed. 2018., 2018

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Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics

1, 2021

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Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models

Breast cancer research : BCR, 2019-06, Vol.21 (1), p.75-75, Article 75

2019

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Deep learning in pharmacogenomics: from gene regulation to patient stratification

Pharmacogenomics, 2018-05, Vol.19 (7), p.629-650

2018

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Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults

Cerebral cortex (New York, N.Y. 1991), 2019-09, Vol.29 (10), p.4169-4193

2019

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Machine learning-based colorectal cancer prediction using global dietary data

BMC cancer, 2023-02, Vol.23 (1), p.144-144, Article 144

2023

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Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease

Scientific reports, 2018-05, Vol.8 (1), p.7129-21, Article 7129

2018

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Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

PloS one, 2016-08, Vol.11 (8), p.e0157077-e0157077

2016

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Along-tract statistics allow for enhanced tractography analysis

NeuroImage (Orlando, Fla.), 2012-02, Vol.59 (4), p.3227-3242

2012

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Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation

IEEE journal of translational engineering in health and medicine, 2022, Vol.10, p.1-8

2022

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A role for ephrin-A5 in axonal sprouting, recovery, and activity-dependent plasticity after stroke

Proceedings of the National Academy of Sciences - PNAS, 2012-08, Vol.109 (33), p.13154-13155

2012

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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

BMC medical informatics and decision making, 2021-08, Vol.21 (1), p.253-253, Article 253

2021

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Sex matters during adolescence: testosterone-related cortical thickness maturation differs between boys and girls

PloS one, 2012-03, Vol.7 (3), p.e33850-e33850

2012

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Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (1), p.212-219

2011

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Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

PloS one, 2020-08, Vol.15 (8), p.e0228520-e0228520

2020

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Classifying migraine using PET compressive big data analytics of brain's μ -opioid and D2/D3 dopamine neurotransmission

Frontiers in pharmacology, 2023-06, Vol.14, p.1173596-1173596

2023

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Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs

Frontiers in public health, 2020-02, Vol.8, p.22-22

Dinov, Ivo D

2020

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A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)

Scientific reports, 2023-03, Vol.13 (1), p.5279-5279, Article 5279

2023

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Sex-related differences of cortical thickness in patients with chronic abdominal pain

PloS one, 2013-09, Vol.8 (9), p.e73932-e73932

2013

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Complete hazard ranking to analyze right-censored data: An ALS survival study

PLoS computational biology, 2017-12, Vol.13 (12), p.e1005887-e1005887

2017

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Brain structure and allelic associations in Alzheimer's disease

CNS neuroscience & therapeutics, 2023-04, Vol.29 (4), p.1034-1048

2023

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The construction of a Chinese MRI brain atlas: A morphometric comparison study between Chinese and Caucasian cohorts

NeuroImage (Orlando, Fla.), 2010-05, Vol.51 (1), p.33-41

2010

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Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies

PloS one, 2018-08, Vol.13 (8), p.e0202674-e0202674

2018

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Resting-state fMRI can reliably map neural networks in children

NeuroImage (Orlando, Fla.), 2011-03, Vol.55 (1), p.165-175

2011

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Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data

Gigascience, 2016-02, Vol.5 (1), p.12-12, Article 12

Dinov, Ivo D

2016

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Data Science and Predictive Analytics: Biomedical and Health Applications using R

Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics

Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models

Deep learning in pharmacogenomics: from gene regulation to patient stratification

Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults

Machine learning-based colorectal cancer prediction using global dietary data

Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease

Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

Along-tract statistics allow for enhanced tractography analysis

Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation

A role for ephrin-A5 in axonal sprouting, recovery, and activity-dependent plasticity after stroke

Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

Sex matters during adolescence: testosterone-related cortical thickness maturation differs between boys and girls

Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

Classifying migraine using PET compressive big data analytics of brain's μ -opioid and D2/D3 dopamine neurotransmission

Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs

A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)

Sex-related differences of cortical thickness in patients with chronic abdominal pain

Complete hazard ranking to analyze right-censored data: An ALS survival study

Brain structure and allelic associations in Alzheimer's disease

The construction of a Chinese MRI brain atlas: A morphometric comparison study between Chinese and Caucasian cohorts

Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies

Resting-state fMRI can reliably map neural networks in children

Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data

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