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364 result(s) for 'natural language processing' within BMC Medical Informatics and Decision Making

Page 8 of 8

  1. A common challenge with all opioid use disorder treatment paths is withdrawal management. When withdrawal symptoms are not effectively monitored and managed, they lead to relapse which often leads to deadly ov...

    Authors: Joseph K. Nuamah, Farzan Sasangohar, Madhav Erraguntla and Ranjana K. Mehta

    Citation: BMC Medical Informatics and Decision Making 2019 19:113

    Content type: Research article

    Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:126

  2. The Patient Activation Measure (PAM13) is an instrument that assesses patient knowledge, skills, and confidence for disease self-management. This cross-sectional study was aimed to validate a culturally-adapte...

    Authors: Guendalina Graffigna, Serena Barello, Andrea Bonanomi, Edoardo Lozza and Judith Hibbard

    Citation: BMC Medical Informatics and Decision Making 2015 15:109

    Content type: Research article

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  3. Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients m...

    Authors: Sachin K. Garg, Courtney R. Lyles, Sara Ackerman, Margaret A. Handley, Dean Schillinger, Gato Gourley, Veenu Aulakh and Urmimala Sarkar

    Citation: BMC Medical Informatics and Decision Making 2016 16:16

    Content type: Research article

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  4. Before patients are admitted into the emergency department, it is important to undertake a pre-hospital process, both in terms of treatment performance and a request for resources from an emergency unit. The e...

    Authors: Krongkarn Sutham, Pattaraporn Khuwuthyakorn and Orawit Thinnukool

    Citation: BMC Medical Informatics and Decision Making 2020 20:66

    Content type: Research article

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  5. In recent years, the increasing incidence and prevalence of stroke has brought a heavy economic burden on families and society in China. The Ministry of Health of the Peoples’ Republic of China initiated the n...

    Authors: Xuemeng Li, Jianfei Pang, Mei Li and Dongsheng Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):67

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 2

  6. Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adopt...

    Authors: Hilde Herman, Sara S. Grobbelaar and Calie Pistorius

    Citation: BMC Medical Informatics and Decision Making 2020 20:55

    Content type: Research article

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  7. The autoverification system for coagulation consists of a series of rules that allow normal data to be released without manual verification. With new advances in medical informatics, the laboratory information...

    Authors: Zhongqing Wang, Cheng Peng, Hui Kang, Xia Fan, Runqing Mu, Liping Zhou, Miao He and Bo Qu

    Citation: BMC Medical Informatics and Decision Making 2019 19:123

    Content type: Research article

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  8. Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effec...

    Authors: Adam Steventon, Sarwat I. Chaudhry, Zhenqiu Lin, Jennifer A. Mattera and Harlan M. Krumholz

    Citation: BMC Medical Informatics and Decision Making 2017 17:43

    Content type: Research article

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  9. Decisions about care options and the use of life-sustaining treatments should be informed by a person’s values and treatment preferences. The objective of this study was to examine the consistency of ratings o...

    Authors: Michelle Howard, Nick Bansback, Amy Tan, Doug Klein, Carrie Bernard, Doris Barwich, Peter Dodek, Aman Nijjar and Daren K. Heyland

    Citation: BMC Medical Informatics and Decision Making 2017 17:164

    Content type: Research article

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  10. Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In...

    Authors: Moumita Bhattacharya, Claudine Jurkovitz and Hagit Shatkay

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):125

    Content type: Research

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    This article is part of a Supplement: Volume 18 Supplement 4

  11. The introduction of electronic transfer of prescriptions (ETP) or ePrescriptions in ambulatory health care has been suggested to have a positive impact on the prescribing and dispensing processes. Thereby, imp...

    Authors: Bengt Åstrand, Emelie Montelius, Göran Petersson and Anders Ekedahl

    Citation: BMC Medical Informatics and Decision Making 2009 9:8

    Content type: Research article

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  12. Well-designed clinical prediction models (CPMs) often out-perform clinicians at estimating probabilities of clinical outcomes, though their adoption by family physicians is variable. How family physicians inte...

    Authors: Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain Buchan and Matthew Sperrin

    Citation: BMC Medical Informatics and Decision Making 2016 16:106

    Content type: Research article

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  13. Asthma is the most common pediatric chronic disease affecting 9.6 % of American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma management. To help avoid delay in asthma diagno...

    Authors: Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick and Michael D. Johnson

    Citation: BMC Medical Informatics and Decision Making 2015 15:99

    Content type: Research article

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  14. Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes substantial effort before the suspicion of a rare diseas...

    Authors: Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar Mojarad, Yanshan Wang, Sijia Liu and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19:32

    Content type: Research article

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