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

Page 3 of 13

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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

  16. 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
  17. 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

  18. 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
  19. 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
  20. 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

  21. 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
  22. 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

  23. 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

  24. 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
  25. 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
  26. 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

  27. 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
  28. 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
  29. 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
  30. In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten rese...

    Authors: Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):77

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

  31. 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
  32. 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
  33. 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
  34. Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring. However, automating a...

    Authors: Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O’Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone and Abeed Sarker
    Citation: BMC Medical Informatics and Decision Making 2021 21:27
  35. 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

  36. Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

    Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer
    Citation: BMC Medical Informatics and Decision Making 2020 20:104
  37. Standardized coding of plays an important role in radiology reports’ secondary use such as data analytics, data-driven decision support, and personalized medicine. RadLex, a standard radiological lexicon, can ...

    Authors: Yani Chen, Shan Nan, Qi Tian, Hailing Cai, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):247

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

  38. Doc’EDS is a search tool built on top of the clinical data warehouse developed at Rouen University Hospital. This tool is a multilevel search engine combining structured and unstructured data. It also provides ba...

    Authors: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni and Julien Grosjean
    Citation: BMC Medical Informatics and Decision Making 2022 22:34

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:107

  39. The coronavirus disease (COVID-19), a pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown its destructiveness with more than one million confirmed cases and dozens of tho...

    Authors: Hetong Ma, Liu Shen, Haixia Sun, Zidu Xu, Li Hou, Sizhu Wu, An Fang, Jiao Li and Qing Qian
    Citation: BMC Medical Informatics and Decision Making 2021 21:231
  40. Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new require...

    Authors: David Perez-Rey, Ana Jimenez-Castellanos, Miguel Garcia-Remesal, Jose Crespo and Victor Maojo
    Citation: BMC Medical Informatics and Decision Making 2012 12:29
  41. Publication databases in biomedicine (e.g., PubMed, MEDLINE) are growing rapidly in size every year, as are public databases of experimental biological data and annotations derived from the data. Publications oft...

    Authors: Paul Breimyer, Nathan Green, Vinay Kumar and Nagiza F Samatova
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S5

    This article is part of a Supplement: Volume 9 Supplement 1

  42. Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs ...

    Authors: Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen, Tapio Salakoski and Sanna Salanterä
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S2

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

  43. Automatic word alignment of parallel texts with the same content in different languages is among other things used to generate dictionaries for new translations. The quality of the generated word alignment dep...

    Authors: Mikael Nyström, Magnus Merkel, Håkan Petersson and Hans Åhlfeldt
    Citation: BMC Medical Informatics and Decision Making 2007 7:37
  44. There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (che...

    Authors: Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin and Joseph Y. Lo
    Citation: BMC Medical Informatics and Decision Making 2022 22:102
  45. AGUIA is a front-end web application originally developed to manage clinical, demographic and biomolecular patient data collected during clinical trials at MD Anderson Cancer Center. The diversity of methods i...

    Authors: Miria C Correa, Helena F Deus, Ana T Vasconcelos, Yuki Hayashi, Jaffer A Ajani, Srikrishna V Patnana and Jonas S Almeida
    Citation: BMC Medical Informatics and Decision Making 2010 10:65
  46. The objective of this study was to ascertain the performance of syndromic algorithms for the early detection of patients in healthcare facilities who have potentially transmissible infectious diseases, using c...

    Authors: Solweig Gerbier-Colomban, Quentin Gicquel, Anne-Laure Millet, Christophe Riou, Jacqueline Grando, Stefan Darmoni, Véronique Potinet-Pagliaroli and Marie-Hélène Metzger
    Citation: BMC Medical Informatics and Decision Making 2013 13:101
  47. Providers document PCC concepts in their clinical notes. In this pilot study we explored the feasibility of using this data as a means to measure the degree to which care in a health center is patient centered. P...

    Authors: Jorie M. Butler, Bryan Gibson, Olga V. Patterson, Laura J. Damschroder, Corrinne H. Halls, Daniel W. Denhalter, Matthew H. Samore, Haojia Li, Yue Zhang and Scott L. DuVall
    Citation: BMC Medical Informatics and Decision Making 2022 22:65

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