Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification
نویسندگان
چکیده
منابع مشابه
A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning
Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic genes, we aimed to develop a novel system-level risk stratification model for lung adenocarcinoma based on gene coexpression network. Using multiple microarray, gene coexpression network analysis was performed to identify survival-related network...
متن کاملEnhancing SDO/HMI images using deep learning
Context. The Helioseismic and Magnetic Imager (HMI) provides continuum images and magnetograms with a cadence better than one every minute. It has been continuously observing the Sun 24 hours a day for the past 7 years. The trade-off between full disk observations and spatial resolution makes that HMI is not enough to analyze the smallest-scale events in the solar atmosphere. Aims. Our aim is d...
متن کاملDeep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA Statistics Online Computational Resource (SOCR), University of Michigan School of Nursing, Ann Arbor, MI, USA Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, USA Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, ...
متن کاملNovel biomarkers for risk stratification in pulmonary arterial hypertension
Risk stratification in pulmonary arterial hypertension (PAH) is paramount to identifying individuals at highest risk of death. So far, there are only limited parameters for prognostication in patients with PAH. 95 patients with confirmed PAH were included in the present analysis and followed for a total of 4 years. Blood samples were analysed for serum levels of N-terminal pro-brain natriuretic...
متن کاملMortality in pulmonary arterial hypertension: prediction by the 2015 European pulmonary hypertension guidelines risk stratification model
The 2015 European pulmonary hypertension (PH) guidelines propose a risk stratification strategy for patients with pulmonary arterial hypertension (PAH). Low-, intermediate- and high-risk strata are defined by estimated 1-year mortality risks of <5%, 5-10% and >10%, respectively. This risk assessment strategy awaits validation.We analysed data from patients with newly diagnosed PAH enrolled into...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biosensors
سال: 2018
ISSN: 2079-6374
DOI: 10.3390/bios8040101