Zobrazeno 1 - 10
of 6 582
pro vyhledávání: '"EMR"'
Autor:
Apurba Ray Chowdhury, Saif Hannan, Mohammad Tariqul Islam, Saeed Alamri, Ahmed S. Alshammari, Mohamed S. Soliman
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 357-368 (2024)
This paper represents a wide incident angle-polarization insensitive, stable in results, and compact-sized metamaterial absorber that can be used for Doppler navigation aids and remote sensing applications in Earth Exploration Satellite Services. The
Externí odkaz:
https://doaj.org/article/de4d4811374e4d5bb7bb973621e06f5b
Akademický článek
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Publikováno v:
JGE, Vol 10, Iss 2, Pp 121-138 (2024)
Dengan menggunakan data gempa bumi dari katalog USGS dan BMKG dari tahun 2009 hingga 2021, penelitian dilakukan untuk mengestimasi nilai Mc, nilai-b, dan nilai-a. Gempa bumi terjadi pada 6° LS - 2° LU dan 100° BT - 103° BT, dengan magnitudo 3 SR
Externí odkaz:
https://doaj.org/article/a309726c72524d5ab98536cbfb631bd2
Publikováno v:
Processing and Application of Ceramics, Vol 18, Iss 2, Pp 186-195 (2024)
The study examined the emission of electromagnetic radiation (EMR) from cement/Ba0.06Bi0.47Na0.47TiO3 (BBNT) composites when subjected to drop weight impact loads, aiming to explore their potential as sensors in civil structures. The generation of EM
Externí odkaz:
https://doaj.org/article/985b755fa6b24929a0b50c5d6c9e6a8c
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 17, Pp 1647-1656 (2024)
Pei-Cheng Yeh,1,2 Kuen-Wei Yeh,3– 5 Jiun-Lang Huang6,7 1Graduate Institute of Clinical Dentistry, School of Dentistry, College of Medicine, National Taiwan University, Taipei, Taiwan, Republic of China; 2Division of Endodontics, Department of Stoma
Externí odkaz:
https://doaj.org/article/08bdc5ab4e474ba8a92fa3787e6c2198
Autor:
Shengchen Ma, Xing Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract With the rapid development of modern medical technology and the dramatic increase in the amount of medical data, traditional centralized medical information management is facing many challenges. In recent years blockchain, which is a peer-to
Externí odkaz:
https://doaj.org/article/89eb59c43a0643009cef4a4b9a433acf
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background Medical records are a valuable source for understanding patient health conditions. Doctors often use these records to assess health without solely depending on time-consuming and complex examinations. However, these records may no
Externí odkaz:
https://doaj.org/article/d1f3f357983e40229c831ab1075489eb
Publikováno v:
Journal of Nursing Practice, Vol 7, Iss 2, Pp 270-282 (2024)
The dynamism of the application information technology in the health sector, especially in hospitals, which is currently being developed is the electronic medical record (EMR). Global competition in the era of industrial revolution 4.0 makes all hosp
Externí odkaz:
https://doaj.org/article/c0a10def3a0a4879b792d745c5f8f634
Autor:
Raneen Naamneh, Moran Bodas
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background Errors in medication administration by qualified nursing staff in hospitals are a significant risk factor for patient safety. In recent decades, electronic medical records (EMR) systems have been implemented in hospitals, and it h
Externí odkaz:
https://doaj.org/article/f9c7740c21ce4bd5ace7a637b852e079
Autor:
Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng, Huilin Wei, Guiyang Jiang, Lingsong Su, Nili Jiang, Kai Zhang, Jiannan Lv, Yanling Hu
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Objective This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs). Methods Six
Externí odkaz:
https://doaj.org/article/cbf39d041497414a90e7f680ff710736