UNLABELLED In French hospitals, medical diagnosis coding with the ICD10 is commonly performed and the use of effective tools would help coders in their task. AIM OF THIS WORK: To ameliorate an existing coding help system. This system, which already consists of the ICD10 analytical index, would be increased with the terms of the alphabetical index that includes lexical variants and additional te...

In this paper, we describe the participation of the Information Management Systems (IMS) group at CLEF eHealth 2017 Task 1. In this task, participants are required to extract causes of death from death reports (in French and in English) and label them with the correct International Classification Diseases (ICD10) code. We tackled this task by focusing on the replicability and reproducibility of...

Background and purpose: Mortality Statistics and rates show the development of a country in the world. These statistics are very important for determining the distribution of risk factors of mortality (in age and gender groups, ethnicity and so on) and they are useful for improving health and preventing from important diseases in future planning of countries in societies. Materials and Methods:...

Three case reports are presented of nalbuphine hydrochloride dependence meeting DSM IIIR and ICD10 criteria for opioid dependence. Nalbuphine hydrochloride is being obtained from illicit sources and used by those using performance enhancing drugs. In some cases this leads to opioid dependence. There is a potential risks of crossover between the misuse of drugs of performance and the misuse of p...

This paper describes the participation of a group of students supervised by two teachers to the CLEF eHealth 2017 campaign, task 1. The task involves the classi cation of death certi cates in French and more precisely the labelling of each cause of death with the relevant ICD10 code. The system that performs the automatic coding is based on an information retrieval method using the Solr interfa...

The integration of terminologies is still a challenging problem in medical informatics research and software applications, due to the high number of heterogeneous terminologies. In this paper, we present a generic API (Application Programming Interface) for a multi-terminology multilingual terminology service, and PyMedTermino, its open-source implementation in Python with 5 terminological reso...

This paper describes NCU IISR’s Japanese ICD-10 Code Linking system for NTCIR-11 MedNLP. Our system uses Conditional Random Fields (CRFs) to label ICD-10 mentions and temporal expressions. We also use CRFs to detect the modalities of the ICD-10 mentions. To resolve the problem of ICD-10 mention normalization, we use the Lucene engine to link mentions to the corresponding ICD-10 database entries...

The most distinctive cause of death (defined as the location quotient) for each state and the District of Columbia, 2001–2010. The map shows the cause of death from the International Classification of Diseases, 10th Revision (ICD10), List of 113 Selected Causes of Death with the highest age-adjusted mortality rate ratio in each state. The causes are listed in the legend in the order of disease ...