Related references
Note: Only part of the references are listed.Predictive monitoring using machine learning algorithms and a real-life example on schizophrenia
Leo C. E. Huberts et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2022)
Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study
Karsten Suhre et al.
METABOLITES (2022)
Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values
Gabin Drouard et al.
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY (2022)
Genomics of hypertension: the road to precision medicine
Sandosh Padmanabhan et al.
NATURE REVIEWS CARDIOLOGY (2021)
Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits
Gaurav Thareja et al.
NATURE COMMUNICATIONS (2021)
Artificial Intelligence in Hypertension Seeing Through a Glass Darkly
Sandosh Padmanabhan et al.
CIRCULATION RESEARCH (2021)
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
Erick Martinez-Rios et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
N-glycosylation of immunoglobulin G predicts incident hypertension
Domagoj Kifer et al.
JOURNAL OF HYPERTENSION (2021)
A Novel Machine Learning-Based Systolic Blood Pressure Predicting Model
Jiao Zheng et al.
JOURNAL OF NANOMATERIALS (2021)
Genomic Determinants of Hypertension With a Focus on Metabolomics and the Gut Microbiome
Panayiotis Louca et al.
AMERICAN JOURNAL OF HYPERTENSION (2020)
Global Plasma Metabolomics to Identify Potential Biomarkers of Blood Pressure Progression
Yi-Ting Lin et al.
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY (2020)
Dietary Influence on Systolic and Diastolic Blood Pressure in the TwinsUK Cohort
Panayiotis Louca et al.
NUTRIENTS (2020)
Wide pulse pressure: A clinical review
Kevin S. Tang et al.
JOURNAL OF CLINICAL HYPERTENSION (2020)
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera et al.
NATURE MEDICINE (2020)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg et al.
NATURE MACHINE INTELLIGENCE (2020)
An interpretable mortality prediction model for COVID-19 patients
Li Yan et al.
NATURE MACHINE INTELLIGENCE (2020)
Qatar Biobank Cohort Study: Study Design and First Results
Asma Al Thani et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2019)
TwinsUK: The UK Adult Twin Registry Update
Serena Verdi et al.
TWIN RESEARCH AND HUMAN GENETICS (2019)
Metabolomic profiling identifies novel associations with Electrolyte and Acid-Base Homeostatic patterns
Cristina Menni et al.
SCIENTIFIC REPORTS (2019)
Omics of Blood Pressure and Hypertension
Donna K. Arnett et al.
CIRCULATION RESEARCH (2018)
Artificial Intelligence in Cardiology
Kipp W. Johnson et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2018)
Role of salt intake in prevention of cardiovascular disease: controversies and challenges
Feng J. He et al.
NATURE REVIEWS CARDIOLOGY (2018)
2018 ESC/ESH Guidelines for the management of arterial hypertension
Bryan Williams et al.
EUROPEAN HEART JOURNAL (2018)
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou et al.
NATURE GENETICS (2018)
Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017
Gregory A. Roth et al.
LANCET (2018)
White coat syndrome and its variations: differences and clinical impact
Mariana R. Pioli et al.
INTEGRATED BLOOD PRESSURE CONTROL (2018)
Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk
Helen R. Warren et al.
NATURE GENETICS (2017)
A Metabolome-Wide Study of Dry Eye Disease Reveals Serum Androgens as Biomarkers
Jelle Vehof et al.
OPHTHALMOLOGY (2017)
TOWARDS PRECISION MEDICINE FOR HYPERTENSION: A REVIEW OF GENOMIC, EPIGENOMIC, AND MICROBIOMIC EFFECTS ON BLOOD PRESSURE IN EXPERIMENTAL RAT MODELS AND HUMANS
Sandosh Padmanabhan et al.
PHYSIOLOGICAL REVIEWS (2017)
Essential hypertension: A filtered serum based metabolomics study
Keerti Ameta et al.
SCIENTIFIC REPORTS (2017)
Decision trees in epidemiological research
Ashwini Venkatasubramaniam et al.
EMERGING THEMES IN EPIDEMIOLOGY (2017)
Global Disparities of Hypertension Prevalence and Control A Systematic Analysis of Population-Based Studies From 90 Countries
Katherine T. Mills et al.
CIRCULATION (2016)
Identification of Serum Metabolites Associated With Incident Hypertension in the European Prospective Investigation into Cancer and Nutrition-Potsdam Study
Stefan Dietrich et al.
HYPERTENSION (2016)
Lessons in Uncertainty and Humility - Clinical Trials Involving Hypertension
Marc A. Pfeffer et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins
Tess Pallister et al.
PLOS ONE (2016)
A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization
Roman Hornung et al.
BMC MEDICAL RESEARCH METHODOLOGY (2015)
The Qatar Biobank: background and methods
Hanan Al Kuwari et al.
BMC PUBLIC HEALTH (2015)
Genetic and Molecular Aspects of Hypertension
Sandosh Padmanabhan et al.
CIRCULATION RESEARCH (2015)
Metabolomic Identification of a Novel Pathway of Blood Pressure Regulation Involving Hexadecanedioate
Cristina Menni et al.
HYPERTENSION (2015)
The hidden hand of chloride in hypertension
Linsay McCallum et al.
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY (2015)
Causal analysis approaches in Ingenuity Pathway Analysis
Andreas Kraemer et al.
BIOINFORMATICS (2014)
Mixed-effects random forest for clustered data
Ahlem Hajjem et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2014)
A new tool for converting food frequency questionnaire data into nutrient and food group values: FETA research methods and availability
Angela A. Mulligan et al.
BMJ OPEN (2014)
Serum Uric Acid Level, Longitudinal Blood Pressure, Renal Function, and Long-Term Mortality in Treated Hypertensive Patients
Jesse Dawson et al.
HYPERTENSION (2013)
Plasma Lipidomic Profile Signature of Hypertension in Mexican American Families: Specific Role of Diacylglycerols
Hemant Kulkarni et al.
HYPERTENSION (2013)
Metabolomic markers reveal novel pathways of ageing and early development in human populations
Cristina Menni et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2013)
The prevention and handling of the missing data
Hyun Kang
KOREAN JOURNAL OF ANESTHESIOLOGY (2013)
Serum γ-Glutamyltransferase: Independent Predictor of Risk of Diabetes, Hypertension, Metabolic Syndrome, and Coronary Disease
Altan Onat et al.
OBESITY (2012)
Metabolic Syndrome, Androgens, and Hypertension
Mohadetheh Moulana et al.
CURRENT HYPERTENSION REPORTS (2011)
Organization of GC/MS and LC/MS metabolomics data into chemical libraries
Corey D DeHaven et al.
Journal of Cheminformatics (2010)
Long-term reproducibility of a food-frequency questionnaire and dietary changes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Heidelberg cohort
Gabriele Nagel et al.
BRITISH JOURNAL OF NUTRITION (2007)
Serum uric acid predicts incident hypertension in a biethnic cohort - The atherosclerosis risk in communities study
Philip B. Mellen et al.
HYPERTENSION (2006)
The genetic dissection of essential hypertension
Allen W. Cowley
NATURE REVIEWS GENETICS (2006)
Power laws, Pareto distributions and Zipf's law
MEJ Newman
CONTEMPORARY PHYSICS (2005)
Application of chemometrics to H-1 NMR spectroscopic data to investigate a relationship between human serum metabolic profiles and hypertension
JT Brindle et al.
ANALYST (2003)
Nutritional methods in the European prospective investigation of cancer in Norfolk
SA Bingham et al.
PUBLIC HEALTH NUTRITION (2001)
Share Paper
