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

Page 3 of 14

  1. Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on...

    Authors: Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu and Jun Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):335

    This article is part of a Supplement: Volume 21 Supplement 9

  2. Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream t...

    Authors: Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou and Kai Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):147

    This article is part of a Supplement: Volume 22 Supplement 2

  3. Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the developme...

    Authors: Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):73

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

  4. Clinical trials are mandatory protocols describing medical research on humans and among the most valuable sources of medical practice evidence. Searching for trials relevant to some query is laborious due to t...

    Authors: Ioannis Korkontzelos, Tingting Mu and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2012 12(Suppl 1):S3

    This article is part of a Supplement: Volume 12 Supplement 1

  5. Given the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is attractive in assisting clinical decision making. However, this process requires e...

    Authors: Jia Li, Yucong Lin, Pengfei Zhao, Wenjuan Liu, Linkun Cai, Jing Sun, Lei Zhao, Zhenghan Yang, Hong Song, Han Lv and Zhenchang Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:200
  6. Meta-analyses aggregate results of different clinical studies to assess the effectiveness of a treatment. Despite their importance, meta-analyses are time-consuming and labor-intensive as they involve reading ...

    Authors: Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki
    Citation: BMC Medical Informatics and Decision Making 2022 22:158
  7. As the first point of contact for patients, General Practitioners (GPs) play a crucial role in the National Health Service (NHS). An accurate primary diagnosis from the GP can alleviate the burden on specialis...

    Authors: Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang and Xiaosong Yang
    Citation: BMC Medical Informatics and Decision Making 2024 24:15
  8. Medical imaging reports play an important role in communication of diagnostic information between radiologists and clinicians. Head magnetic resonance imaging (MRI) reports can provide evidence that is widely ...

    Authors: Xiaowei Xu, Lu Qin, Lingling Ding, Chunjuan Wang, Meng Wang, Zixiao Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:275
  9. Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In...

    Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai and Katherine P. Liao
    Citation: BMC Medical Informatics and Decision Making 2019 19:226
  10. We present a system to automatically map an interface terminology ICPC-2 PLUS to SNOMED CT. Three steps of mapping are proposed in this system. The UMLS metathesaurus mapping utilises explicit relationships betwe...

    Authors: Yefeng Wang, Jon Patrick, Graeme Miller and Julie O'Hallaran
    Citation: BMC Medical Informatics and Decision Making 2008 8(Suppl 1):S5

    This article is part of a Supplement: Volume 8 Supplement 1

  11. To build a suitable database (CardioNet) for CVDs that can utilize AI technology, contributing to the overall care of patients with CVDs. First, we collected the anonymized records of 748,474 patients who had vis...

    Authors: Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun and Young-Hak Kim
    Citation: BMC Medical Informatics and Decision Making 2021 21:29
  12. Due to the great variability of 12-lead ECG instruments and medical specialists’ interpretation skills, it remains a challenge to deliver rapid and accurate 12-lead ECG reports with senior cardiologists’ decis...

    Authors: Jui-chien Hsieh and Meng-Wei Hsu
    Citation: BMC Medical Informatics and Decision Making 2012 12:77
  13. PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold ...

    Authors: T Elizabeth Workman, Marcelo Fiszman and John F Hurdle
    Citation: BMC Medical Informatics and Decision Making 2012 12:41
  14. Prostate cancer (PCa) is the leading male neoplasm in South Africa with an age-standardised incidence rate of 68.0 per 100,000 population in 2018. The Gleason score (GS) is the strongest predictive factor for ...

    Authors: Naseem Cassim, Michael Mapundu, Victor Olago, Turgay Celik, Jaya Anna George and Deborah Kim Glencross
    Citation: BMC Medical Informatics and Decision Making 2021 21:330
  15. The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including drug discovery, it is of paramount importance to identify th...

    Authors: Yeawon Lee, Jinseok Son and Min Song
    Citation: BMC Medical Informatics and Decision Making 2022 22:234
  16. Computerized decision support systems (DSS) have mainly focused on improving clinicians' diagnostic accuracy in unusual and challenging cases. However, since diagnostic omission errors may predominantly result...

    Authors: Padmanabhan Ramnarayan, Graham C Roberts, Michael Coren, Vasantha Nanduri, Amanda Tomlinson, Paul M Taylor, Jeremy C Wyatt and Joseph F Britto
    Citation: BMC Medical Informatics and Decision Making 2006 6:22
  17. Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health c...

    Authors: Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx and Stef Groenewoud
    Citation: BMC Medical Informatics and Decision Making 2019 19:36
  18. Identifying patients with certain clinical criteria based on manual chart review of doctors’ notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can ...

    Authors: Clayton A. Turner, Alexander D. Jacobs, Cassios K. Marques, James C. Oates, Diane L. Kamen, Paul E. Anderson and Jihad S. Obeid
    Citation: BMC Medical Informatics and Decision Making 2017 17:126
  19. Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate p...

    Authors: Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck and Hanna Suominen
    Citation: BMC Medical Informatics and Decision Making 2022 22:242
  20. In this study, we designed and implemented a natural language processing (NLP) pipeline to extract gene-specific ... of AD-related information are extracted from the processed publication data: publication trend ...

    Authors: Jiannan Liu, Huanmei Wu, Daniel H. Robertson and Jie Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 3):98

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

  21. Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to ...

    Authors: Romaric Marcilly, Laura Douze, Sébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le Louët, Jean-Baptiste Lamy and Cédric Bousquet
    Citation: BMC Medical Informatics and Decision Making 2020 20:261
  22. Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes...vs. non-violence-related injuries (NV) is thus a relevant task to the ends of devisi...

    Authors: Enrico Mensa, Davide Colla, Marco Dalmasso, Marco Giustini, Carlo Mamo, Alessio Pitidis and Daniele P. Radicioni
    Citation: BMC Medical Informatics and Decision Making 2020 20:263
  23. Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering system...

    Authors: Shuli Guo, Wentao Yang, Lina Han, Xiaowei Song and Guowei Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:201
  24. The goal is to construct a formal middle-level ontology that is compatible with both the traditional medical terminology system and modern medical terminology standards. it is intended to satisfy functional requi...

    Authors: Hai Long, Yan Zhu, Lirong Jia, Bo Gao, Jing Liu, Lihong Liu and Heinrich Herre
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):53

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

  25. Data mining can be utilized to automate analysis of substantial amounts of data produced in many organizations. However, data mining produces large numbers of rules and patterns, many of which are not useful. ...

    Authors: Mir S Siadaty and William A Knaus
    Citation: BMC Medical Informatics and Decision Making 2006 6:13
  26. Traditional health information systems are generally devised to support clinical data collection at the point of care. However, as the significance of the modern information economy expands in scope and permea...

    Authors: Richard Jackson, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart and Richard Dobson
    Citation: BMC Medical Informatics and Decision Making 2018 18:47
  27. With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings.

    Authors: Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø and Lilja Øvrelid
    Citation: BMC Medical Informatics and Decision Making 2021 21:84
  28. Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal in...

    Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu and Heng Weng
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):22

    This article is part of a Supplement: Volume 18 Supplement 1

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:25

  29. Cincinnati Children’s Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with...

    Authors: Qi Li, Louise Deleger, Todd Lingren, Haijun Zhai, Megan Kaiser, Laura Stoutenborough, Anil G Jegga, Kevin Bretonnel Cohen and Imre Solti
    Citation: BMC Medical Informatics and Decision Making 2013 13:53
  30. Traditional information retrieval techniques typically return excessive output when directed at large bibliographic databases. Natural Language Processing applications strive to extract salient content from ... ,...

    Authors: T Elizabeth Workman and John F Hurdle
    Citation: BMC Medical Informatics and Decision Making 2011 11:6
  31. In Western languages the period character is highly ambiguous, due to its double role as sentence delimiter and abbreviation marker. This is particularly relevant in clinical free-texts characterized by numero...

    Authors: Markus Kreuzthaler and Stefan Schulz
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S4

    This article is part of a Supplement: Volume 15 Supplement 2

  32. The prevalence of medical misinformation on the Internet has received much attention among researchers concerned that exposure to such information may inhibit patient adherence to prescriptions. Yet, little is...

    Authors: Nickolas M. Jones, Dana B. Mukamel, Shaista Malik, Robert S. Greenfield, Andrew Reikes, Nathan D. Wong and Emilie Chow
    Citation: BMC Medical Informatics and Decision Making 2020 20:197
  33. The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117

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

  34. The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing works...

    Authors: Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu and Jake Luo
    Citation: BMC Medical Informatics and Decision Making 2018 18:61
  35. Since no effective therapies exist for Alzheimer’s disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients with...

    Authors: Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):88

    This article is part of a Supplement: Volume 22 Supplement 1

  36. This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The authors of the article have proposed a completely unique t...

    Authors: Martin Kotyrba, Hashim Habiballa, Eva Volna, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina and Vladena Jaremova
    Citation: BMC Medical Informatics and Decision Making 2023 23:221
  37. Although biomedical information is growing rapidly, it is difficult to find and retrieve validated data especially for rare hereditary diseases. There is an increased need for services capable of integrating a...

    Authors: Jouni Väliaho, Pentti Riikonen and Mauno Vihinen
    Citation: BMC Medical Informatics and Decision Making 2005 5:21
  38. Here, we propose a series of quantitative metrics based on the processing of the lexical regularities existing in the ... that is, if what is expressed in natural language for humans is available as logical axiom...

    Authors: Francisco Abad-Navarro, Manuel Quesada-Martínez, Astrid Duque-Ramos and Jesualdo Tomás Fernández-Breis
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):284

    This article is part of a Supplement: Volume 20 Supplement 10

  39. Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or colorectal cancer. Colonoscopy reports are often written in unstructured narrativ...

    Authors: Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin and Byoung-Kee Yi
    Citation: BMC Medical Informatics and Decision Making 2023 23:28
  40. Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency...

    Authors: Heekyong Park and Jinwook Choi
    Citation: BMC Medical Informatics and Decision Making 2014 14:90
  41. To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care.

    Authors: Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis and Linda Dawson
    Citation: BMC Medical Informatics and Decision Making 2014 14:94
  42. Health providers create Electronic Health Records (EHRs) to describe the conditions and procedures used to treat their patients. Medical notes entered by medical staff in the form of free text are a particular...

    Authors: Ashis Kumar Chanda, Tian Bai, Ziyu Yang and Slobodan Vucetic
    Citation: BMC Medical Informatics and Decision Making 2022 22:114
  43. Assessment and feedback is a common implementation strategy to improve healthcare provider fidelity to clinical guidelines. For immunization guidelines, fidelity is often measured with doses administered durin...

    Authors: Rachel S. Chang, Jaimie Z. Shing, Jennifer C. Erves, Liping Du, Tatsuki Koyama, Stephen Deppen, Alyssa B. Rentuza, Caree McAfee, Christine Stroebel, Janet Cates, Lora Harnack, David Andrews, Robert Bramblett and Pamela C. Hull
    Citation: BMC Medical Informatics and Decision Making 2022 22:339
  44. Numbering within clinical notes can be variable, and not taking these variations into account could result in missing or inaccurate information for natural language processing and information retrieval tasks.

    Authors: David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis and Chunhua Weng
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):75

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

  45. Named entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in ...

    Authors: Peng Chen, Meng Zhang, Xiaosheng Yu and Songpu Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:315
  46. Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision making. High-quality research articles are important for the development of good CPGs. Commonly used manual screening pro...

    Authors: Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv and Jian Yang
    Citation: BMC Medical Informatics and Decision Making 2023 23:247

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