[HOPIPRAC: Pharmacovigilance interface for detecting cases of adverse events in a hospital data warehouse].

Introduction: Spontaneous reporting is the reference method for collecting data on adverse drug reactions (ADRs). However, it remains insufficient. Text search in the electronic medical record has opened up a new way of collecting ADRs.

Risk factors for hypoglycaemia in people with diabetes admitted to the Emergency Department of a Hospital in French Guiana.

Aims/introduction: Strict management of glucose levels in elderly people with diabetes or with comorbidities exposes them to the risk of severe hypoglycaemia (capillary or venous glucose ≤3.3 mmol/L) and the associated morbidity and mortality. We aimed to describe the clinical, laboratory, and epidemiological characteristics of people with diabetes admitted to the Emergency Department in Cayenne, French Guiana for severe hypoglycaemia and identify avoidable behaviours in this population.

Peripheral-blood b-cell subset disturbances in inflammatory joint diseases induced by Tropheryma whipplei.

Objective: To look for abnormalities in circulating B-cell subsets in patients with rheumatic symptoms of Whipple's disease (WD).

Method: Consecutive patients seen between 2010 and 2016 for suspected inflammatory joint disease were identified retrospectively. Results of standardized immunological and serological tests and of peripheral-blood B-cell and T-cell subset analysis by flow cytometry were collected.

Sharing Health Big Data for Research - A Design by Use Cases: The INSHARE Platform Approach.

Sharing and exploiting Health Big Data (HBD) allow tackling challenges: data protection/governance taking into account legal, ethical, and deontological aspects enables trust, transparent and win-win relationship between researchers, citizens, and data providers. Lack of interoperability: compartmentalized and syntactically/semantica heterogeneous data. INSHARE project using experimental proof of concept explores how recent technologies overcome such issues.

Information quality measurement of medical encoding support based on usability.

Medical encoding support systems for diagnoses and medical procedures are an emerging technology that begins to play a key role in billing, reimbursement, and health policies decisions. A significant problem to exploit these systems is how to measure the appropriateness of any automatically generated list of codes, in terms of fitness for use, i.e.

Reversible watermarking for knowledge digest embedding and reliability control in medical images.

To improve medical image sharing in applications such as e-learning or remote diagnosis aid, we propose to make the image more usable by watermarking it with a digest of its associated knowledge. The aim of such a knowledge digest (KD) is for it to be used for retrieving similar images with either the same findings or differential diagnoses. It summarizes the symbolic descriptions of the image, the symbolic descriptions of the findings semiology, and the similarity rules that contribute to balancing the importance of previous descriptors when comparing images.

Epidemiology and long term survival of gastric carcinoma in the French district of Finistere between 1984 and 1995.

Objectives: The aims of this study were to evaluate trends in incidence, clinical characteristics, treatment regimen and prognosis of gastric carcinoma in the area of Finistere (France) during a 12-year period.

Methods: Between 1984 and 1995, the Finistere Registry of GastroIntestinal Tract Tumors listed 2 139 patients with gastric carcinoma in a population of 838 627 inhabitants. Curative resection and operative mortality were analyzed by logistic regression.

Factors associated with liver steatosis and fibrosis in chronic hepatitis C patients.

Unlabelled: Liver steatosis is a common finding in patients infected with hepatitis C virus (HCV). Host and viral factors have been associated with steatosis, but their relative contributions have not been clearly addressed. It has been suggested that steatosis plays a role in the progression of liver fibrosis.

Computer-assisted diagnosis system in digestive endoscopy.

The purpose of this paper is to present an intelligent atlas of indexed endoscopic lesions that could be used in computer-assisted diagnosis as reference data. The development of such a system requires a mix of medical and engineering skills for analyzing and reproducing the cognitive processes that underlie the medical decision-making process. The analysis of both endoscopists experience and endoscopic terminologies developed by professional associations shows that diagnostic reasoning in digestive endoscopy uses a scene-object approach.