AIMC Topic: United States

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The relationship of blood transfusion with peri-operative and long-term outcomes after major hepatectomy for metastatic colorectal cancer: a multi-institutional study of 456 patients.

HPB : the official journal of the International Hepato Pancreato Biliary Association
BACKGROUND: Data on prognostic implications of peri-operative blood transfusion around resection of colorectal cancer liver metastases (CRLM) are conflicting. This retrospective study assesses the association of transfusion with complications and dis...

Classification of radiology reports for falls in an HIV study cohort.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To identify patients in a human immunodeficiency virus (HIV) study cohort who have fallen by applying supervised machine learning methods to radiology reports of the cohort.

Reoperations following Robot-Assisted Radical Cystectomy: A Decade of Experience.

The Journal of urology
PURPOSE: There is a paucity of data regarding the operative management of complications after robot-assisted radical cystectomy. We reviewed operative management of robot-assisted radical cystectomy specific complications during our 10-year experienc...

Scaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus.

AMIA ... Annual Symposium proceedings. AMIA Symposium
"Identifying and labeling" (annotating) sections improves the effectiveness of extracting information stored in the free text of clinical documents. OBSecAn, an automated ontology-based section annotator, was developed to identify and label sections ...

Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium
INTRODUCTION: Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that ...

Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record.

Digestive diseases and sciences
BACKGROUND AND AIMS: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Risk factors for NAFLD disease progression and liver-related outcomes remain incompletely understood due to the lack of computa...

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...