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Eyal Klang et al.
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Damian Gola et al.
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Nasim Sadat Seyed Tabib et al.
GUT (2020)
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Tala Mirzaei et al.
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Xintian Xu et al.
SCIENCE CHINA-LIFE SCIENCES (2020)
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Justin Stebbing et al.
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Ruggiero Seccia et al.
PLOS ONE (2020)
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Xiaolan Mo et al.
FRONTIERS IN PHARMACOLOGY (2020)
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Yury E. Glazyrin et al.
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Kirsty E. Waddington et al.
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Coryandar Gilvary et al.
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Fatima Sanchez-Cabo et al.
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Rosa Alba Sola Martinez et al.
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Sung Yang Ho et al.
PATTERNS (2020)
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I. S. Stafford et al.
NPJ DIGITAL MEDICINE (2020)
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Clemence Reda et al.
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Duc Duy Nguyen et al.
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Signe Hassler et al.
PLOS MEDICINE (2020)
The future of digital health with federated learning
Nicola Rieke et al.
NPJ DIGITAL MEDICINE (2020)
Deep representation learning of electronic health records to unlock patient stratification at scale
Isotta Landi et al.
NPJ DIGITAL MEDICINE (2020)
A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival
Mustafa I. Jaber et al.
BREAST CANCER RESEARCH (2020)
Target identification among known drugs by deep learning from heterogeneous networks
Xiangxiang Zeng et al.
CHEMICAL SCIENCE (2020)
Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes
Erika Van Nieuwenhove et al.
ANNALS OF THE RHEUMATIC DISEASES (2019)
The 1000IBD project: multi-omics data of 1000 inflammatory bowel disease patients; data release 1 (vol 19, 5, 2019)
Floris Imhann et al.
BMC GASTROENTEROLOGY (2019)
Real benefits of ultrasound evaluation of hand and foot synovitis for better characterisation of the disease activity in rheumatoid arthritis
Coziana Ciurtin et al.
EUROPEAN RADIOLOGY (2019)
Applications of machine learning in drug discovery and development
Jessica Vamathevan et al.
NATURE REVIEWS DRUG DISCOVERY (2019)
Machine learning approaches to predict lupus disease activity from gene expression data
Brian Kegerreis et al.
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Can machine learning predict responses to TNF inhibitors?
Nisha Nair et al.
NATURE REVIEWS RHEUMATOLOGY (2019)
Cancer Diagnosis Using Deep Learning: A Bibliographic Review
Khushboo Munir et al.
CANCERS (2019)
Making Machine Learning Models Clinically Useful
Nigam H. Shah et al.
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Dissecting racial bias in an algorithm used to manage the health of populations
Ziad Obermeyer et al.
SCIENCE (2019)
A Bayesian machine learning approach for drug target identification using diverse data types
Neel S. Madhukar et al.
NATURE COMMUNICATIONS (2019)
Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling
Sara G. Murray et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Machine learning models to predict disease progression among veterans with hepatitis C virus
Monica A. Konerman et al.
PLOS ONE (2019)
Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms
April Jorge et al.
SEMINARS IN ARTHRITIS AND RHEUMATISM (2019)
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes
Richard D. Riley et al.
STATISTICS IN MEDICINE (2019)
A Review on a Deep Learning Perspective in Brain Cancer Classification
Gopal S. Tandel et al.
CANCERS (2019)
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers
Yuanfang Guan et al.
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Sjogren's syndrome and systemic lupus erythematosus: links and risks
Sandra Gofinet Pasoto et al.
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A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu et al.
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Kelly D. Myers et al.
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William A. Figgett et al.
CLINICAL & TRANSLATIONAL IMMUNOLOGY (2019)
Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease
Akbar K. Waljee et al.
JAMA NETWORK OPEN (2019)
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Paras Lakhani et al.
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2018)
Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data
Dana E. Orange et al.
ARTHRITIS & RHEUMATOLOGY (2018)
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena A. Gianfrancesco et al.
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Validation Is Critical for Genome-Wide Association Study-Based Associations
W. S. Oetting et al.
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Omics studies: their use in diagnosis and reclassification of SLE and other systemic autoimmune diseases
Maria Teruel et al.
RHEUMATOLOGY (2017)
-Omic and Electronic Health Record Big Data Analytics for Precision Medicine
Po-Yen Wu et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models
Fulvia Ceccarelli et al.
PLOS ONE (2017)
Classification of Paediatric Inflammatory Bowel Disease using Machine Learning
E. Mossotto et al.
SCIENTIFIC REPORTS (2017)
On the Integration of In Silico Drug Design Methods for Drug Repurposing
Eric March-Vila et al.
FRONTIERS IN PHARMACOLOGY (2017)
Overview of deep learning in medical imaging
Kenji Suzuki
RADIOLOGICAL PHYSICS AND TECHNOLOGY (2017)
How Socioeconomic Status Affects Patient Perceptions of Health Care: A Qualitative Study
Nicholas C. Arpey et al.
JOURNAL OF PRIMARY CARE AND COMMUNITY HEALTH (2017)
Systematic review: genetic biomarkers associated with anti-TNF treatment response in inflammatory bowel diseases
S. Bek et al.
ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2016)
IS THERE A REPRODUCIBILITY CRISIS?
Monya Baker
NATURE (2016)
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Richard D. Riley et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Richard D. Riley et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Failure of Investigational Drugs in Late-Stage Clinical Development and Publication of Trial Results
Thomas J. Hwang et al.
JAMA INTERNAL MEDICINE (2016)
Comment: The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson et al.
SCIENTIFIC DATA (2016)
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
Regina Padmanabhan et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2015)
Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record
Chen Lin et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2015)
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Takaya Saito et al.
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Ashwin N. Ananthakrishnan et al.
INFLAMMATORY BOWEL DISEASES (2013)
Tear fluid proteomics multimarkers for diabetic retinopathy screening
Zsolt Torok et al.
BMC OPHTHALMOLOGY (2013)
Machine learning and radiology
Shijun Wang et al.
MEDICAL IMAGE ANALYSIS (2012)
A CD8+ T cell transcription signature predicts prognosis in autoimmune disease
Eoin F. McKinney et al.
NATURE MEDICINE (2010)
Electronic Medical Records for Discovery Research in Rheumatoid Arthritis
Katherine P. Liao et al.
ARTHRITIS CARE & RESEARCH (2010)
Development and Validation of a Composite Disease Activity Score for Juvenile Idiopathic Arthritis
Alessandro Consolaro et al.
ARTHRITIS & RHEUMATISM-ARTHRITIS CARE & RESEARCH (2009)
Exploratory Undersampling for Class-Imbalance Learning
Xu-Ying Liu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2009)
Machine learning classifiers and fMRI: A tutorial overview
Francisco Pereira et al.
NEUROIMAGE (2009)
Integration of computer-aided diagnosis/detection (CAD) results in a PACS environment using CAD-PACS toolkit and DICOM SR
Anh H. T. Le et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2009)
Comparison of composite measures of disease activity in an early seropositive rheumatoid arthritis cohort
Veena K. Ranganath et al.
ANNALS OF THE RHEUMATIC DISEASES (2007)
Computer-aided diagnosis in medical imaging: Historical review, current status and future potential
Kunio Doi
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2007)
Gender as risk factor for autoimmune diseases
Norbert Gleicher et al.
JOURNAL OF AUTOIMMUNITY (2007)
Application of recently developed computer algorithm for automatic classification of unstructured radiology reports: Validation study
KJ Dreyer et al.
RADIOLOGY (2005)
Differential effects of three interferon betas on neutralising antibodies in patients with multiple sclerosis: a follow up study in an independent laboratory
A Bertolotto et al.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2002)