Parnian Asgari

ORCID: 0000-0003-4426-0851
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Research Areas
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare
  • Knowledge Management and Technology
  • Diabetes Management and Education
  • Big Data and Business Intelligence
  • Insurance, Mortality, Demography, Risk Management
  • Mobile Health and mHealth Applications
  • Insurance and Financial Risk Management
  • Impact of Technology on Adolescents
  • Sepsis Diagnosis and Treatment

Mashhad University of Medical Sciences
2020-2022

Introduction: Recently, with the surge in availability of relevant data various industries, use Information Fusion technique for analysis is increasing. This method has several advantages, such as increased accuracy, and meaningful information. In addition, there are certain challenges, including impact type analytical on results. The goal this study to propose a framework introducing advantages classifying challenges technique. Method: We conducted review articles published between January...

10.18502/jbe.v7i2.6737 article EN cc-by-nc Journal of Biostatistics and Epidemiology 2021-07-18

Identifying and analyzing mortality risk factors will lead to more accurate planning prevention in health platforms. This research provides models for predicting the intensive care unit with machine-learning techniques. We extracted data from 1400 patients' medical records admitted of Imam Hossein Hospital Tehran. Period inclusion was January 1, 2018, February 31, 2020. In this study, we used twelve predictor algorithms analysis, including: SVM, k-nearest neighbor, decision tree, logistic...

10.1016/j.imu.2022.100995 article EN cc-by Informatics in Medicine Unlocked 2022-01-01

Introduction: The rate of mobile phone use among people, especially young people is increasing. proper for utilizing the advantages and stay away from its complications essential. To obtain a model how to will facilitate planning preventing complications. So, in this article, questionnaire development with aimed at examining pattern students Iranian Universities.Methods: In study self-administered was designed based on literature review PubMed, EMBASE, Science Direct, Google Scholar database...

10.30699/fhi.v10i1.241 article EN Frontiers in Health Informatics 2021-01-01

Introduction: In the field of health, information and communication technology plays an important role, world is experiencing era communication, health not asymmetrical. According to study, Iran one countries that at high risk diabetes, continues increase in most countries. The purpose this paper review literature on effectiveness Information Communication Technology (ICTs) treatment type 1 2 diabetes.Material Methods: This study was conducted as a through search valid databases such PubMed,...

10.30699/fhi.v8i1.182 article EN Frontiers in Health Informatics 2019-06-22

The Comparison of Selected Data-mining techniques in ICU Mortality Risk Prediction Imam Hossein hospital

10.29252/jmis.5.2.59 article EN Journal of Modern Medical Information Sciences 2020-02-01

Abstract introduction The rapid development of technology in recent decades has led to the production a huge amount data. This type data analysis that is called Big Data Analysis obtain Many benefits, including reducing costs. One challenges these analyses lack specialized expertise and knowledge this area. purpose study was compare familiarity IT staff students with big analyzes at various universities organizations. Materials method analytical conducted on units' different organizations...

10.21203/rs.2.22539/v1 preprint EN cc-by Research Square (Research Square) 2020-02-04
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