Study on the effect of hypertensive treatment based on drug factor analysis model under the background of big data-Reference-Cited by-同舟云学术

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Study on the effect of hypertensive treatment based on drug factor analysis model under the background of big data

Published:2019-10-09 Issue:3 Volume:37 Page:3217-3230
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhao Yan¹,Le Jiajing²,Zhu LiFeng³,Zuo Ming³

Affiliation:

1. Glorious Sun School of Business and Management, Donghua University, Shanghai, China

2. School of Computer Science and Technology, Donghua University, Shanghai, China

3. RuiJin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference16 articles.

1. Prediction of incident hypertension. Health implications of data mining in the `big data' era;Egan;Journal of Hypertension,2013

2. Strategic prototyping for developing big data systems;Chen;IEEE Software,2016

3. Applying a "big data"; literature system to recommend antihypertensive drugs for hypertension patients with diabetes mellitus;Shu;Med Sci Monit,2018

4. Uncovering small secrets in big data sets: how math can identify biology in rare conditions (pediatric pulmonary hypertension);Gomberg-Maitland;Circulation Research,2017

5. Understanding the healthy immigrant effect and cardiovascular disease: looking to big data and beyond;Osypuk;Circulation,2015

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1. Analysis and practice of key technologies for e-commerce talent training online platform under the background of big data;2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2021-12-02

2. Application of Data Mining in English Online Learning Platform;Journal of Physics: Conference Series;2021-04-01

3. Personalized Teaching Model of College English Based on Big Data;Journal of Physics: Conference Series;2021-04-01

4. Application of Deep Learning Algorithm in Clinical Analysis of Patients With Serum Electrolyte Disturbance;IEEE Access;2020

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