Skip to main content

Standards, technology, machine learning, and modeling

Section edited by Andreas Holzinger

This section considers manuscripts that investigate data analysis, data mining and machine learning in healthcare systems, disease prediction, forecasting and modeling, as well as studies in advanced information and data management systems, and knowledge bases.

Page 3 of 3

  1. Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative informat...

    Authors: Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught and Sophia Ananiadou

    Citation: BMC Medical Informatics and Decision Making 2018 18:46

    Content type: Research article

    Published on:

  2. 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:

  3. Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrate...

    Authors: Lingling Zhou, Ping Zhao, Dongdong Wu, Cheng Cheng and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2018 18:39

    Content type: Research article

    Published on:

  4. A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

    Authors: Andrea C. Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A. Khan, Reid Robson, Ba’ Pham, Graeme Hirst and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2018 18:38

    Content type: Research article

    Published on:

  5. Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are mo...

    Authors: Aravindhan Ganesan, Theinmozhi Arulraj, Tahir Choulli and Khaled H. Barakat

    Citation: BMC Medical Informatics and Decision Making 2018 18:37

    Content type: Research article

    Published on:

  6. Alzheimer’s Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing...

    Authors: Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti and Maria Cristina De Cola

    Citation: BMC Medical Informatics and Decision Making 2018 18:35

    Content type: Research article

    Published on:

  7. Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders. The aim of this study was to develop an a...

    Authors: Emmanuelle Sylvestre, Guillaume Bouzillé, Emmanuel Chazard, Cécil His-Mahier, Christine Riou and Marc Cuggia

    Citation: BMC Medical Informatics and Decision Making 2018 18:9

    Content type: Research article

    Published on:

  8. Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. T...

    Authors: Chuchu Liu and Xin Lu

    Citation: BMC Medical Informatics and Decision Making 2018 18:2

    Content type: Research article

    Published on:

  9. Claims data are currently widely used as source data in asthma studies. However, the insufficient information in claims data related to level of asthma severity may negatively impact study findings. The presen...

    Authors: Tsung-Hsien Yu, Pin-Kuei Fu and Yu-Chi Tung

    Citation: BMC Medical Informatics and Decision Making 2017 17:177

    Content type: Research article

    Published on:

  10. Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques ...

    Authors: Sherif Sakr, Radwa Elshawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Steven J. Keteyian, Michael J. Blaha and Mouaz H. Al-Mallah

    Citation: BMC Medical Informatics and Decision Making 2017 17:174

    Content type: Research article

    Published on:

  11. Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Supp...

    Authors: Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, Luke S. P. Moore, Benjamin Evans, Christofer Toumazou, Alison H. Holmes and Pantelis Georgiou

    Citation: BMC Medical Informatics and Decision Making 2017 17:168

    Content type: Research article

    Published on:

  12. Autism Spectrum Disorder (ASD) is one of the fastest-growing developmental disorders in the United States. It was hypothesized that variations in the placental chorionic surface vascular network (PCSVN) struct...

    Authors: Jen-Mei Chang, Hui Zeng, Ruxu Han, Ya-Mei Chang, Ruchit Shah, Carolyn M. Salafia, Craig Newschaffer, Richard K. Miller, Philip Katzman, Jack Moye, Margaret Fallin, Cheryl K. Walker and Lisa Croen

    Citation: BMC Medical Informatics and Decision Making 2017 17:162

    Content type: Research article

    Published on:

  13. Since the emergence of electronic health records, nursing information is increasingly being recorded and stored digitally. Several studies have shown that a wide range of nursing information is not interoperab...

    Authors: R. A. M. M. Kieft, E. M. Vreeke, E. M. de Groot, P. A. Volkert, A. L. Francke and D. M. J. Delnoij

    Citation: BMC Medical Informatics and Decision Making 2017 17:158

    Content type: Research article

    Published on:

  14. The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a not...

    Authors: Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits and Henry C. Chueh

    Citation: BMC Medical Informatics and Decision Making 2017 17:155

    Content type: Research article

    Published on:

  15. Chronic periodontitis is a multifactorial polygenetic disease with an increasing number of associated factors that have been identified over recent decades. Longitudinal epidemiologic studies have demonstrated...

    Authors: J. Song, H. Zhao, C. Pan, C. Li, J. Liu and Y. Pan

    Citation: BMC Medical Informatics and Decision Making 2017 17:135

    Content type: Research article

    Published on:

  16. Electronic health records (EHRs) contain detailed clinical data stored in proprietary formats with non-standard codes and structures. Participating in multi-site clinical research networks requires EHR data to...

    Authors: Toan C. Ong, Michael G. Kahn, Bethany M. Kwan, Traci Yamashita, Elias Brandt, Patrick Hosokawa, Chris Uhrich and Lisa M. Schilling

    Citation: BMC Medical Informatics and Decision Making 2017 17:134

    Content type: Technical advance

    Published on:

  17. Data mining techniques such as support vector machines (SVMs) have been successfully used to predict outcomes for complex problems, including for human health. Much health data is imbalanced, with many more co...

    Authors: Alice M. Richardson and Brett A. Lidbury

    Citation: BMC Medical Informatics and Decision Making 2017 17:121

    Content type: Research article

    Published on:

  19. Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As...

    Authors: Telma Pereira, Luís Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel Santana, Alexandre de Mendonça, Manuela Guerreiro and Sara C. Madeira

    Citation: BMC Medical Informatics and Decision Making 2017 17:110

    Content type: Research article

    Published on:

  20. Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data...

    Authors: Hyukki Lee, Soohyung Kim, Jong Wook Kim and Yon Dohn Chung

    Citation: BMC Medical Informatics and Decision Making 2017 17:104

    Content type: Research Article

    Published on:

  21. 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:

  22. Nonsteroidal anti-inflammatory drugs (NSAIDs) and gastro-protective agents should be co-prescribed following a standard clinical practice guideline; however, adherence to this guideline in routine practice is ...

    Authors: Oraluck Pattanaprateep, Mark McEvoy, John Attia and Ammarin Thakkinstian

    Citation: BMC Medical Informatics and Decision Making 2017 17:96

    Content type: Research article

    Published on:

  23. Autogenous arteriovenous fistula (AVF) is the best vascular access (VA) for hemodialysis, but its creation is still a critical procedure. Physical examination, vascular mapping and doppler ultrasound (DUS) eva...

    Authors: Michela Bozzetto, Stefano Rota, Valentina Vigo, Francesco Casucci, Carlo Lomonte, Walter Morale, Massimo Senatore, Luigi Tazza, Massimo Lodi, Giuseppe Remuzzi and Andrea Remuzzi

    Citation: BMC Medical Informatics and Decision Making 2017 17:26

    Content type: Research article

    Published on:

  24. Interoperability standards intend to standardise health information, clinical practice guidelines intend to standardise care procedures, and patient data registries are vital for monitoring quality of care and...

    Authors: Nadim Anani, Michael V. Mazya, Rong Chen, Tiago Prazeres Moreira, Olivier Bill, Niaz Ahmed, Nils Wahlgren and Sabine Koch

    Citation: BMC Medical Informatics and Decision Making 2017 17:7

    Content type: Technical advance

    Published on:

  25. Data capture for clinical registries or pilot studies is often performed in spreadsheet-based applications like Microsoft Excel or IBM SPSS. Usually, data is transferred into statistic software, such as SAS, R...

    Authors: Philipp Bruland and Martin Dugas

    Citation: BMC Medical Informatics and Decision Making 2017 17:3

    Content type: Software

    Published on:

  26. Patients’ smoking status is routinely collected by General Practitioners (GP) in UK primary health care. There is an abundance of Read codes pertaining to smoking, including those relating to smoking cessation...

    Authors: Mark D. Atkinson, Jonathan I. Kennedy, Ann John, Keir E. Lewis, Ronan A. Lyons and Sinead T. Brophy

    Citation: BMC Medical Informatics and Decision Making 2017 17:2

    Content type: Research article

    Published on:

  27. Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. However, duplicate records in a distributed dataset may lead t...

    Authors: Kassaye Yitbarek Yigzaw, Antonis Michalas and Johan Gustav Bellika

    Citation: BMC Medical Informatics and Decision Making 2017 17:1

    Content type: Technical advance

    Published on:

  28. Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework fo...

    Authors: Hans Demski, Sebastian Garde and Claudia Hildebrand

    Citation: BMC Medical Informatics and Decision Making 2016 16:137

    Content type: Research article

    Published on:

Sorry, this content is temporarily unavailable. Please try again soon - thanks for your patience.

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us