Facebook language predicts depression in medical records
نویسندگان
چکیده
منابع مشابه
Editing Medical Data Records with a Natural Language Interface
Background: Electronic Patient Records (EPRs) contain vast amounts of information in the form of texts, such as letters sent from a hospital to the patient’s local doctor (GP). The ability to extract data reliably from these texts would yield advances both in medical research and in individual patient care. In developing effective extraction methods, a crucial step is to create corpora that ali...
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Extracting comorbidity information is crucial for phenotypic studies because of the confounding effect of comorbidities. We developed an automated method that accurately determines comorbidities from electronic medical records. Using a modified version of the Charlson comorbidity index (CCI), two physicians created a reference standard of comorbidities by manual review of 100 admission notes. W...
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The overall goal of MENELAS is to provide better access to the information contained in natural language patient discharge summaries, through the design and implementation of a pilot system able to access medical reports through natural languages. A first, experimental version of the MENELAS indexing prototype for French has been assembled. Its function is to encode free text PDSs into both an ...
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The rise of Facebook presents new challenges for matching users with content of their preferences. In this way, the educational aspect of Facebook is accentuated. In order to emphasize the educational usage of Facebook, we implemented an educational application, which is addressed to Greek users who want to learn the Conditionals grammatical structure in Filipino and vice versa. Given that educ...
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PURPOSE The present study reports the current status of computerizing medical records in Japan. In 2001, the Ministry of Health, Labour and Welfare formulated the Grand Design for the Development of Information Systems in the Healthcare and Medical Fields. The Grand Design stated a numerical target for "spreading the use of electronic medical records (EMR) in at least 60% of Japan's hospitals w...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2018
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1802331115