Performance of support-vector-machine-based classification on 15 systematic review topics evaluated with the WSS@95 measure.
Author(s): Cohen, Aaron M
DOI: 10.1136/jamia.2010.008177
Author(s): Cohen, Aaron M
DOI: 10.1136/jamia.2010.008177
Due to the high cost of manual curation of key aspects from the scientific literature, automated methods for assisting this process are greatly desired. Here, we report a novel approach to facilitate MeSH indexing, a challenging task of assigning MeSH terms to MEDLINE citations for their archiving and retrieval.
Author(s): Huang, Minlie, Névéol, Aurélie, Lu, Zhiyong
DOI: 10.1136/amiajnl-2010-000055
As biomedical technology becomes increasingly sophisticated, researchers can probe ever more subtle effects with the added requirement that the investigation of small effects often requires the acquisition of large amounts of data. In biomedicine, these data are often acquired at, and later shared between, multiple sites. There are both technological and sociological hurdles to be overcome for data to be passed between researchers and later made accessible to the larger [...]
Author(s): Helmer, Karl G, Ambite, Jose Luis, Ames, Joseph, Ananthakrishnan, Rachana, Burns, Gully, Chervenak, Ann L, Foster, Ian, Liming, Lee, Keator, David, Macciardi, Fabio, Madduri, Ravi, Navarro, John-Paul, Potkin, Steven, Rosen, Bruce, Ruffins, Seth, Schuler, Robert, Turner, Jessica A, Toga, Arthur, Williams, Christina, Kesselman, Carl, ,
DOI: 10.1136/amiajnl-2010-000032
To describe a system for determining the assertion status of medical problems mentioned in clinical reports, which was entered in the 2010 i2b2/VA community evaluation 'Challenges in natural language processing for clinical data' for the task of classifying assertions associated with problem concepts extracted from patient records.
Author(s): Clark, Cheryl, Aberdeen, John, Coarr, Matt, Tresner-Kirsch, David, Wellner, Ben, Yeh, Alexander, Hirschman, Lynette
DOI: 10.1136/amiajnl-2011-000164
Using an eight-dimensional model for studying socio-technical systems, a multidisciplinary team of investigators identified barriers and facilitators to clinical decision support (CDS) implementation in a community setting, the Mid-Valley Independent Physicians Association in the Salem, Oregon area. The team used the Rapid Assessment Process, which included nine formal interviews with CDS stakeholders, and observation of 27 clinicians. The research team, which has studied 21 healthcare sites of various sizes over [...]
Author(s): Ash, Joan S, Sittig, Dean F, Wright, Adam, McMullen, Carmit, Shapiro, Michael, Bunce, Arwen, Middleton, Blackford
DOI: 10.1136/amiajnl-2010-000013
As computing and network capabilities continue to rise, it becomes increasingly important to understand the varied applications for using them to provide healthcare. The objective of this review is to identify key characteristics and attributes of healthcare applications involving the use of advanced computing and communication technologies, drawing upon 45 research and development projects in telemedicine and other aspects of healthcare funded by the National Library of Medicine over the [...]
Author(s): Ackerman, Michael, Locatis, Craig
DOI: 10.1136/amiajnl-2010-000054
We review the scholarly career of our colleague, Marco Ramoni, who died unexpectedly in the summer of 2010. His work mainly explored the development and application of Bayesian techniques to model clinical, public health, and bioinformatics questions. His contributions have led to improvements in our ability to model behavior that evolves in time, to explore systematic relationships among large sets of covariates, and to tease out the meaning of data [...]
Author(s): Kohane, Isaac S, Szolovits, Peter
DOI: 10.1136/amiajnl-2011-000218
Evidence suggests that the medication lists of patients are often incomplete and could negatively affect patient outcomes. In this article, the authors propose the application of collaborative filtering methods to the medication reconciliation task. Given a current medication list for a patient, the authors employ collaborative filtering approaches to predict drugs the patient could be taking but are missing from their observed list.
Author(s): Hasan, Sharique, Duncan, George T, Neill, Daniel B, Padman, Rema
DOI: 10.1136/amiajnl-2011-000106
Author(s): Lorenzi, Nancy M
DOI: 10.1136/amiajnl-2011-000103
The field of Biomedical and Health Informatics (BMHI) continues to define itself, and there are many educational programs offering 'informatics' degrees with varied foci. The goal of this study was to develop a scheme for systematic comparison of programs across the entire BMHI spectrum and to identify commonalities among informatics curricula.
Author(s): Kampov-Polevoi, Julia, Hemminger, Bradley M
DOI: 10.1136/jamia.2010.004259