Fever detection from free-text clinical records for biosurveillance

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fever detection from free-text clinical records for biosurveillance

Automatic detection of cases of febrile illness may have potential for early detection of outbreaks of infectious disease either by identification of anomalous numbers of febrile illness or in concert with other information in diagnosing specific syndromes, such as febrile respiratory syndrome. At most institutions, febrile information is contained only in free-text clinical records. We compare...

متن کامل

Statistical Section Segmentation in Free-Text Clinical Records

Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within. In this work we describe our approach to automatic section segmentation of clinical records such as hospital discharge summaries and radiology reports, alo...

متن کامل

Family History Detection from Clinical Text

Electronic Health Record (EHR) systems are becoming highly prevalent today and have the potential to add to the success of spontaneous reporting systems for post marketing surveillance of drugs. EHR systems broadly contain two forms of information viz. coded (structured) information and unstructured text. Researchers have shown that the textual data have much more utility for cohort building th...

متن کامل

Biosurveillance and Outbreak Detection

Faced with the very real threat of bioterrorism, the critical need for early detection of an outbreak has shortened the time frame for major enhancements to our public health infrastructure. The early detection of covert biological attacks requires real time data streams revealing of the health of the population, as well as novel methods to detect abnormalities.

متن کامل

ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records

Adverse drug events (ADEs) are unintended responses to medical treatment. They can greatly affect a patient's quality of life and present a substantial burden on healthcare. Although Electronic health records (EHRs) document a wealth of information relating to ADEs, they are frequently stored in the unstructured or semi-structured free-text narrative requiring Natural Language Processing (NLP) ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Biomedical Informatics

سال: 2004

ISSN: 1532-0464

DOI: 10.1016/j.jbi.2004.03.002