AIMC Topic: Hypertension
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A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.
IEEE journal of biomedical and health informatics
May 20, 2019
We consider the problem in precision health of grouping people into subpopulations based on their degree of vulnerability to a risk factor. These subpopulations cannot be discovered with traditional clustering techniques because their quality is eval...
Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.
Journal of Korean medical science
Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research topic in biomedical community. Existing work mainly focuses on the prediction of one target disease, and little work is proposed for multiple associat...
Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.
The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons
Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Ankle Fractures
Medicaid
Open Fracture Reduction
Diabetes Mellitus
Age Factors
Fracture Fixation, Internal
Lung Diseases
Medicare
Heart Failure
Anemia
Renal Insufficiency
Length of Stay
Hospital Mortality
United States
Hypertension
Male
Humans
Middle Aged
Machine Learning
Postoperative Complications
Algorithms
Databases, Factual
Female
Risk Factors
Cross-Sectional Studies
Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.
Journal of medical Internet research
Feb 15, 2019
BACKGROUND: Prevention and management of chronic diseases are the main goals of national health maintenance programs. Previously widely used screening tools, such as Health Risk Appraisal, are restricted in their achievement this goal due to their li...
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear in...
Phenotyping through Semi-Supervised Tensor Factorization (PSST).
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
A computational phenotype is a set of clinically relevant and interesting characteristics that describe patients with a given condition. Various machine learning methods have been proposed to derive phenotypes in an automatic, high-throughput manner....
A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.
BioMed research international
Nov 11, 2018
OBJECTIVE: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective referenc...
Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.
Biosensors
Oct 26, 2018
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-term abnormal blood pressure will lead to various cardiovascular diseases, making the early detection and assessment of hypertension profoundly significa...
[Hepatitis B and renal failure: prevalence and associated factors in National University Hospital Center of Cotonou].
The Pan African medical journal
Oct 17, 2018
INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to determine the prevalence and factors associated with renal disease in people living with hepatitis B virus (PLHBV) in Cotonou.
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