Skip to main content

Articles

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

Page 8 of 15

  1. While many studies have tested the impact of a decision aid (DA) compared to not receiving any DA, far fewer have tested how different types of DAs affect key outcomes such as treatment choice, patient–provide...

    Authors: Angela Fagerlin, Margaret Holmes-Rovner, Timothy P. Hofer, David Rovner, Stewart C. Alexander, Sara J. Knight, Bruce S. Ling, James A.Tulsky, John T. Wei, Khaled Hafez, Valerie C. Kahn, Daniel Connochie, Jeffery Gingrich and Peter A. Ubel
    Citation: BMC Medical Informatics and Decision Making 2021 21:154
    Content type: Research article Published on:

  2. Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely...

    Authors: Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):72
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 1

  3. Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in electron...

    Authors: Vivienne J Zhu, Leslie A Lenert, Brian E Bunnell, Jihad S Obeid, Melanie Jefferson and Chanita Hughes Halbert
    Citation: BMC Medical Informatics and Decision Making 2019 19:43
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:89

  4. Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules...

    Authors: Liang Yao, Chengsheng Mao and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):71
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  5. Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data...

    Authors: Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova and Rebecca S. Jacobson
    Citation: BMC Medical Informatics and Decision Making 2016 16:121
    Content type: Research article Published on:

  7. In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind ...

    Authors: Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He and Xingpeng Jiang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):251
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 9

  8. The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media pl...

    Authors: Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du and Hua Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19:208
    Content type: Research Article Published on:

  9. Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled ...

    Authors: Chunming Yang, Dan Xiao, Yuanyuan Luo, Bo Li, Xujian Zhao and Hui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:169
    Content type: Research Published on:

  10. Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable for use in this populat...

    Authors: Qiuyi Wang, Jing Liu, Lanshu Zhou, Jing Tian, Xuemei Chen, Wei Zhang, He Wang, Wanqiong Zhou and Yitian Gao
    Citation: BMC Medical Informatics and Decision Making 2022 22:317
    Content type: Research Published on:

  11. The ability to detect disease outbreaks in their early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatio-temporal ...

    Authors: Rochelle E Watkins, Serryn Eagleson, Sam Beckett, Graeme Garner, Bert Veenendaal, Graeme Wright and Aileen J Plant
    Citation: BMC Medical Informatics and Decision Making 2007 7:4
    Content type: Software Published on:

  12. Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods i...

    Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang and Tianyong Hao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):129
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 2

  13. Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was...

    Authors: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto and Timo Iirola
    Citation: BMC Medical Informatics and Decision Making 2022 22:166
    Content type: Research article Published on:

  15. Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of ...

    Authors: Bevan Koopman, Sarvnaz Karimi, Anthony Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang and Sarah Thackway
    Citation: BMC Medical Informatics and Decision Making 2015 15:53
    Content type: Research Article Published on:

  16. A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal...

    Authors: Chunhua Weng, Carol Friedman, Casey A. Rommel and John F. Hurdle
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):70
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  17. Treatment with effective antiretroviral therapy (ART) reduces viral load as well as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded availability of antiretroviral therapy aro...

    Authors: Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku and Agmasie Damtew Walle
    Citation: BMC Medical Informatics and Decision Making 2023 23:75
    Content type: Research Published on:

  18. In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, there...

    Authors: Zhiwei Chen, Zhe He, Xiuwen Liu and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):65
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 2

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:73

  19. Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to ...

    Authors: Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr and Lewis J. Frey
    Citation: BMC Medical Informatics and Decision Making 2019 19:164
    Content type: Research article Published on:

  20. Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes c...

    Authors: Ruth Reátegui and Sylvie Ratté
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 3):74
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 3

  21. Using Conditional Random Fields (CRFs), a popular and successful method for natural language processing problems, sentences referring to Intervention, Participants...Intervention, Participant and Outcome Measures

    Authors: Grace Y Chung
    Citation: BMC Medical Informatics and Decision Making 2009 9:10
    Content type: Research article Published on:

  22. Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and cli...

    Authors: Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang and Genevieve B. Melton
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):68
    Content type: Research Published on:

    This article is part of a Supplement: Volume 17 Supplement 2

  23. There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate explora...

    Authors: Tian Bai, Ashis Kumar Chanda, Brian L. Egleston and Slobodan Vucetic
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):123
    Content type: Research Published on:

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

  24. The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial for both patients and clinicians. Risk stratification offer...

    Authors: Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang and Xuehua Bi
    Citation: BMC Medical Informatics and Decision Making 2022 22:14
    Content type: Research Published on:

  25. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  26. We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.

    Authors: Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle and Mark Dominik Alscher
    Citation: BMC Medical Informatics and Decision Making 2017 17:103
    Content type: Research article Published on:

  27. In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introdu...

    Authors: Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):21
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  28. Although MIMIC-II, a public intensive care database, has been recognized as an invaluable resource for many medical researchers worldwide, becoming a proficient MIMIC-II researcher requires knowledge of SQL pr...

    Authors: Joon Lee, Evan Ribey and James R. Wallace
    Citation: BMC Medical Informatics and Decision Making 2016 16:15
    Content type: Software Published on:

  29. Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expand...

    Authors: Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam and Shayan Shams
    Citation: BMC Medical Informatics and Decision Making 2023 23:255
    Content type: Research Published on:

  30. The variety of medical documentation often leads to incompatible data elements that impede data integration between institutions. A common approach to standardize and distribute metadata definitions are ISO/IE...

    Authors: Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt and Martin Dugas
    Citation: BMC Medical Informatics and Decision Making 2021 21:160
    Content type: Research article Published on:

  31. The pivot and cluster strategy (PCS) is a diagnostic reasoning strategy that automatically elicits disease clusters similar to a differential diagnosis in a batch. Although physicians know empirically which di...

    Authors: Daiki Yokokawa, Kazutaka Noda, Yasutaka Yanagita, Takanori Uehara, Yoshiyuki Ohira, Kiyoshi Shikino, Tomoko Tsukamoto and Masatomi Ikusaka
    Citation: BMC Medical Informatics and Decision Making 2022 22:322
    Content type: Research Published on:

  32. While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli...

    Authors: Young-Min Kim and Tae-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 7):242
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 7

  33. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet
    Citation: BMC Medical Informatics and Decision Making 2016 16:102
    Content type: Research article Published on:

  34. We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the i...

    Authors: Jayden MacRae, Tom Love, Michael G. Baker, Anthony Dowell, Matthew Carnachan, Maria Stubbe and Lynn McBain
    Citation: BMC Medical Informatics and Decision Making 2015 15:78
    Content type: Research article Published on:

  35. Alzheimer’s Disease (AD) is a devastating disease that destroys memory and other cognitive functions. There has been an increasing research effort to prevent and treat AD. In the US, two major data sharing res...

    Authors: Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 3):103
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 3

  36. Extracting relations between bio-entities from biomedical literature is often a challenging task and also an essential step towards biomedical knowledge expansion. The BioCreative community has organized a sha...

    Authors: Suwen Liu, Yifan Shao, Longhua Qian and Guodong Zhou
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):63
    Content type: Research Published on:

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

  38. Accurate, coded problem lists are valuable for data reuse, including clinical decision support and research. However, healthcare providers frequently modify coded diagnoses by including or removing common cont...

    Authors: Eva S. Klappe, Florentien J. P. van Putten, Nicolette F. de Keizer and Ronald Cornet
    Citation: BMC Medical Informatics and Decision Making 2021 21:120
    Content type: Research article Published on:

  39. Eye tracking is commonly used in marketing to understand complex responses to materials, but has not been used to understand how low-literacy adults access health information or its relationship to decision ma...

    Authors: Sarah Bauerle Bass, Thomas F. Gordon, Ryan Gordon and Claudia Parvanta
    Citation: BMC Medical Informatics and Decision Making 2016 16:67
    Content type: Research article Published on:

  40. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar
    Citation: BMC Medical Informatics and Decision Making 2020 20:79
    Content type: Research article Published on:

  41. Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured d...

    Authors: Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar and Kamal Jethwani
    Citation: BMC Medical Informatics and Decision Making 2018 18:44
    Content type: Research article Published on:

  42. Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is diff...

    Authors: Fei Zhang, Bo Sun, Xiaolin Diao, Wei Zhao and Ting Shu
    Citation: BMC Medical Informatics and Decision Making 2021 21:38
    Content type: Research article Published on:

  43. Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers...

    Authors: Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):22
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  44. With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

    Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani
    Citation: BMC Medical Informatics and Decision Making 2020 20:85
    Content type: Research article Published on:

  45. Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find...

    Authors: Go Eun Heo, Qing Xie, Min Song and Jeong-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):240
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  46. The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, eve...

    Authors: Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit and Luis Fernandez-Luque
    Citation: BMC Medical Informatics and Decision Making 2017 17:63
    Content type: Research article Published on:

  47. Healthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gol...

    Authors: Justin N. Hall, Ron Galaev, Marina Gavrilov and Shawn Mondoux
    Citation: BMC Medical Informatics and Decision Making 2023 23:200
    Content type: Research Published on:

  48. An Informatics Consult has been proposed in which clinicians request novel evidence from large scale health data resources, tailored to the treatment of a specific patient. However, the availability of such co...

    Authors: Alvina G. Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve Harris, Sylvia Richardson…
    Citation: BMC Medical Informatics and Decision Making 2021 21:281
    Content type: Research article Published on:

  49. Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi...

    Authors: Jannik Schaaf, Hans-Ulrich Prokosch, Martin Boeker, Johanna Schaefer, Jessica Vasseur, Holger Storf and Martin Sedlmayr
    Citation: BMC Medical Informatics and Decision Making 2020 20:230
    Content type: Research article Published on:

  50. Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We ...

    Authors: Randall W. Grout, Siu L. Hui, Timothy D. Imler, Sarah El-Azab, Jarod Baker, George H. Sands, Mohammad Ateya and Francis Pike
    Citation: BMC Medical Informatics and Decision Making 2021 21:112
    Content type: Research article Published on:
Submit manuscript

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 3.3
    5-year Journal Impact Factor: 3.9
    Source Normalized Impact per Paper (SNIP): 1.304
    SCImago Journal Rank (SJR): 1.002

    Speed 2023
    Submission to first editorial decision (median days): 18
    Submission to acceptance (median days): 213

    Usage 2023
    Downloads: 2,588,758
    Altmetric mentions: 2,443

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Follow

Sign up for article alerts and news from this journal

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us