Potential value and impact of data mining and machine learning in clinical diagnostics

M Saberi-Karimian, Z Khorasanchi… - Critical reviews in …, 2021 - Taylor & Francis
Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis

FE Schjerven, F Lindseth, I Steinsland - Plos one, 2024 - journals.plos.org
Objective Our goal was to review the available literature on prognostic risk prediction for
incident hypertension, synthesize performance, and provide suggestions for future work on …

Predicting hypertension using machine learning: Findings from Qatar Biobank Study

LA AlKaabi, LS Ahmed, MF Al Attiyah… - Plos one, 2020 - journals.plos.org
Background and objective Hypertension, a global burden, is associated with several risk
factors and can be treated by lifestyle modifications and medications. Prediction and early …

Cashless Japan: Unlocking influential risk on mobile payment service

WL Chang, LM Chen, T Hashimoto - Information Systems Frontiers, 2022 - Springer
In Japan, cashless is not yet popular but government and companies are devoted to the
development of mobile payment methods. This research collected 241 Japanese users and …

Hypertension and pre-hypertension among Iranian adults population: a meta-analysis of prevalence, awareness, treatment, and control

R Afsargharehbagh, K Rezaie-Keikhaie… - Current Hypertension …, 2019 - Springer
Abstract Purpose of Review This meta-analysis and systematic review was conducted to
evaluate hypertension and prehypertension prevalence, awareness, treatment, and control …

Identifying future drinkers: behavioral analysis of monkeys initiating drinking to intoxication is predictive of future drinking classification

EJ Baker, NAR Walter, A Salo… - Alcoholism: clinical …, 2017 - Wiley Online Library
Background The Monkey Alcohol Tissue Research Resource (MATRR) is a repository and
analytics platform for detailed data derived from well‐documented nonhuman primate (NHP) …

[HTML][HTML] Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho

FT Fernandes, ADP Chiavegatto Filho - Revista Brasileira de Saúde …, 2019 - SciELO Brasil
Introdução: a variedade, volume e velocidade de geração de dados (big data) possibilitam
novas e mais complexas análises. Objetivo: discutir e apresentar técnicas de mineração de …

Association of wrist circumference with cardio-metabolic risk factors: a systematic review and meta-analysis

N Namazi, S Djalalinia, A Mahdavi-Gorabi… - Eating and Weight …, 2020 - Springer
Background and aims The association of Wrist Circumference (WrC) with cardio-metabolic
risk factors is still contradictory. We aimed to systematically review the association of WrC …

Wrist circumference is associated with increased systolic blood pressure in children with overweight/obesity

S Zampetti, G Campagna, F Lucantoni… - Hypertension …, 2018 - nature.com
Wrist circumference is a clinical marker for insulin-resistance in overweight/obese children
and adolescents. Insulin resistance is considered a major determinant of increased vascular …

Application of survival tree analysis for exploration of potential interactions between predictors of incident chronic kidney disease: a 15-year follow-up study

A Ramezankhani, M Tohidi, F Azizi… - Journal of translational …, 2017 - Springer
Background Chronic kidney disease (CKD) is a growing public health challenges
worldwide. Various studies have investigated risk factors of incident CKD; however, a very …