Elmer Bernstam
教授
The University of Texas Health Science Center at Houston
School of Biomedical Informatics and
麦戈文医学院 - 内科部门
Our laboratory focuses on problems related to meaning in biomedical data. As an example, clinical data are increasingly being collected via electronic medical records (EMRs) into clinical data repositories (or warehouses). These data are potentially useful for research, quality improvement, biosurveillance and other purposes. However, since these data were collected for other purposes (e.g., clinical care, billing, etc.), repurposing is not straightforward. For example, information useful for research is generally in free text notes, rather than structured billing codes. Thus, natural language processing and concept extraction are important to our work. We also have projects in consumer informatics (e.g., how can we guide health care consumers to accurate information online, privacy in the context of personalized medicine) and information retrieval (e.g., MEDLINE searching).
项目/技术：我们实验室中的项目通常专注于从（大）数据集中提取含义。示例包括：
1. High-throughput phenotyping: identifying patients with a particular condition (e.g., breast cancer) within a large clinical database. We have applied a variety of techniques including graph algorithms, vector space models (adapted from information retrieval) and others.
2.了解研究主题隐私与效用之间的平衡。beplay苹果手机能用吗大量努力致力于维护临床和转化研究中受试者的隐私。beplay苹果手机能用吗我们试图通过调查和访谈了解与隐私有关的态度和期望。
3. Guiding consumers to accurate health information online. How do we help non-clinicians identify accurate information? Published tools for evaluating online information do not seem to correlate with accuracy. However, we found that inaccurate information posted to online forums is rapidly and reliably identified (and often corrected) by subsequent postings. Thus, online information “self-corrects.”
教育和培训
MD, University of Michigan, 1995