Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature.
Author(s): Ohno-Machado, Lucila, Nadkarni, Prakash, Johnson, Kevin
DOI: 10.1136/amiajnl-2013-002214
Author(s): Ohno-Machado, Lucila, Nadkarni, Prakash, Johnson, Kevin
DOI: 10.1136/amiajnl-2013-002214
As large-scale medical imaging studies are becoming more common, there is an increasing reliance on automated software to extract quantitative information from these images. As the size of the cohorts keeps increasing with large studies, there is a also a need for tools that allow results from automated image processing and analysis to be presented in a way that enables fast and efficient quality checking, tagging and reporting on cases [...]
Author(s): Bourgeat, P, Dore, V, Villemagne, V L, Rowe, C C, Salvado, O, Fripp, J
DOI: 10.1136/amiajnl-2012-001545
Combined magnetic resonance/positron emission tomography (MR/PET) is a relatively new, hybrid imaging modality. MR-based attenuation correction often requires segmentation of the bone on MR images. In this study, we present an automatic segmentation method for the skull on MR images for attenuation correction in brain MR/PET applications.
Author(s): Yang, Xiaofeng, Fei, Baowei
DOI: 10.1136/amiajnl-2012-001544
An accurate computable representation of food and drug allergy is essential for safe healthcare. Our goal was to develop a high-performance, easily maintained algorithm to identify medication and food allergies and sensitivities from unstructured allergy entries in electronic health record (EHR) systems.
Author(s): Epstein, Richard H, St Jacques, Paul, Stockin, Michael, Rothman, Brian, Ehrenfeld, Jesse M, Denny, Joshua C
DOI: 10.1136/amiajnl-2013-001756
With the increased routine use of advanced imaging in clinical diagnosis and treatment, it has become imperative to provide patients with a means to view and understand their imaging studies. We illustrate the feasibility of a patient portal that automatically structures and integrates radiology reports with corresponding imaging studies according to several information orientations tailored for the layperson.
Author(s): Arnold, Corey W, McNamara, Mary, El-Saden, Suzie, Chen, Shawn, Taira, Ricky K, Bui, Alex A T
DOI: 10.1136/amiajnl-2012-001457
To develop, evaluate, and share: (1) syntactic parsing guidelines for clinical text, with a new approach to handling ill-formed sentences; and (2) a clinical Treebank annotated according to the guidelines. To document the process and findings for readers with similar interest.
Author(s): Fan, Jung-wei, Yang, Elly W, Jiang, Min, Prasad, Rashmi, Loomis, Richard M, Zisook, Daniel S, Denny, Josh C, Xu, Hua, Huang, Yang
DOI: 10.1136/amiajnl-2013-001810
To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI).
Author(s): Lee, Gyemin, Gurm, Hitinder S, Syed, Zeeshan
DOI: 10.1136/amiajnl-2012-001588
DNA methylation, a regulator of gene expression, plays an important role in diverse biological processes including developmental process, carcinogenesis and aging. In particular, aberrant DNA methylation has been largely observed in several types of cancers. Currently, it is important to extract disease-specific gene sets associated with the regulation of DNA methylation.
Author(s): Joung, Je-Gun, Kim, Dokyoon, Kim, Kyung Hwa, Kim, Ju Han
DOI: 10.1136/amiajnl-2012-001571
To explore how key components of economic evaluations have been included in evaluations of health information systems (HIS), to determine the state of knowledge on value for money for HIS, and provide guidance for future evaluations.
Author(s): Bassi, Jesdeep, Lau, Francis
DOI: 10.1136/amiajnl-2012-001422
Intellectual disability is a condition characterized by significant limitations in cognitive abilities and social/behavioral adaptive skills and is an important reason for pediatric, neurologic, and genetic referrals. Approximately 10% of protein-encoding genes on the X chromosome are implicated in intellectual disability, and the corresponding intellectual disability is termed X-linked ID (XLID). Although few mutations and a small number of families have been identified and XLID is rare, collectively the impact [...]
Author(s): Zhang, Zhe, Witham, Shawn, Petukh, Marharita, Moroy, Gautier, Miteva, Maria, Ikeguchi, Yoshihiko, Alexov, Emil
DOI: 10.1136/amiajnl-2012-001505