Accessing Reliable Health Information on the Web: A Review of the HON Approach.

Accessing online health content of high quality and reliability presents challenges. Laypersons cannot easily differentiate trustworthy content from misinformed or manipulated content. This article describes complementary approaches for members of the general public and health professionals to find trustworthy content with as little bias as possible.

Improving average ranking precision in user searches for biomedical research datasets.

https://biocaddie.org/benchmark-data.

Deep Question Answering for protein annotation.

Biomedical professionals have access to a huge amount of literature, but when they use a search engine, they often have to deal with too many documents to efficiently find the appropriate information in a reasonable time. In this perspective, question-answering (QA) engines are designed to display answers, which were automatically extracted from the retrieved documents. Standard QA engines in literature process a user question, then retrieve relevant documents and finally extract some possible answers out of these documents using various named-entity recognition processes.

Classification and prioritization of biomedical literature for the comparative toxicogenomics database.

We present a new approach to perform biomedical documents classification and prioritization for the Comparative Toxicogenomics Database (CTD). This approach is motivated by needs such as literature curation, in particular applied to the human health environment domain. The unique integration of chemical, genes/proteins and disease data in the biomedical literature may advance the identification of exposure and disease biomarkers, mechanisms of chemical actions, and the complex aetiologies of chronic diseases.

An advanced search engine for patent analytics in medicinal chemistry.

Patent collections contain an important amount of medical-related knowledge, but existing tools were reported to lack of useful functionalities. We present here the development of TWINC, an advanced search engine dedicated to patent retrieval in the domain of health and life sciences. Our tool embeds two search modes: an ad hoc search to retrieve relevant patents given a short query and a related patent search to retrieve similar patents given a patent.

A user-friendly tool for medical-related patent retrieval.

Health-related information retrieval is complicated by the variety of nomenclatures available to name entities, since different communities of users will use different ways to name a same entity. We present in this report the development and evaluation of a user-friendly interactive Web application aiming at facilitating health-related patent search. Our tool, called TWINC, relies on a search engine tuned during several patent retrieval competitions, enhanced with intelligent interaction modules, such as chemical query, normalization and expansion.

Improving the transparency of health information found on the internet through the honcode: a comparative study.

This study aims to show that health websites not asking for HONcode certification (Control sample websites A) do not respect elementary ethical standards such as the HONcode. The HONcode quality and ethical standards and the certification process have been developed by the Health on the Net Foundation to improve the transparency of the health and medical information found on the Internet. We compared the compliance with the 8 HONcode principles, and respectively the respect of principles 1 (authority), 4 (assignment), 5 (justification) and 8 (honesty in advertising and editorial policy) by certified websites (A) and by health websites which have not requested the certification (B).

Using multimodal mining to drive clinical guidelines development.

We present exploratory investigations of multimodal mining to help designing clinical guidelines for antibiotherapy. Our approach is based on the assumption that combining various sources of data, such as the literature, a clinical datawarehouse, as well as information regarding costs will result in better recommendations. Compared to our baseline recommendation system based on a question-answering engine built on top of PubMed, an improvement of +16% is observed when clinical data (i.

Enriching the trustworthiness of health-related web pages.

We present an experimental mechanism for enriching web content with quality metadata. This mechanism is based on a simple and well-known initiative in the field of the health-related web, the HONcode. The Resource Description Framework (RDF) format and the Dublin Core Metadata Element Set were used to formalize these metadata.

Combination of heterogeneous criteria for the automatic detection of ethical principles on health web sites.

The detection of ethical issues of web sites aims at selection of information helpful to the reader and is an important concern in medical informatics. Indeed, with the ever-increasing volume of online health information, coupled with its uneven reliability and quality, the public should be aware about the quality of information available online. In order to address this issue, we propose methods for the automatic detection of statements related to ethical principles such as those of the HONcode.

Supervised approach to recognize question type in a QA system for health.

Many attempts have been made in the QA domain but no system applicable to the field of health is currently available on the Internet. This paper describes a bilingual French/English question answering system adapted to the health domain and more particularly the detection of the question's model. Indeed, the Question Analyzer module for identifying the question's model has a greater effect on the rest of the QA system.

Analyzing web log files of the health on the net HONmedia search engine to define typical image search tasks for image retrieval evaluation.

Medical institutions produce ever-increasing amount of diverse information. The digital form makes these data available for the use on more than a single patient. Images are no exception to this.

Health on the Net Foundation: assessing the quality of health web pages all over the world.

The Internet provides a great amount of information and has become one of the communication media which is most widely used [1]. However, the problem is no longer finding information but assessing the credibility of the publishers as well as the relevance and accuracy of the documents retrieved from the web. This problem is particularly relevant in the medical area which has a direct impact on the well-being of citizens.

Machine learning approach for automatic quality criteria detection of health web pages.

The number of medical websites is constantly growing [1]. Owing to the open nature of the Web, the reliability of information available on the Web is uneven. Internet users are overwhelmed by the quantity of information available on the Web.

WRAPIN: a tool for patient empowerment within EHR.

Legal and technologic trends are making medical records progressively more patient-accessible. In the near future, information technology may make it even easier to provide patients a chance to review their records. One may wonder, however, about the practical use of this technology by patients.

Health search engine with e-document analysis for reliable search results.

Objective: After a review of the existing practical solution available to the citizen to retrieve eHealth document, the paper describes an original specialized search engine WRAPIN.

Method: WRAPIN uses advanced cross lingual information retrieval technologies to check information quality by synthesizing medical concepts, conclusions and references contained in the health literature, to identify accurate, relevant sources. Thanks to MeSH terminology [1] (Medical Subject Headings from the U.

WRAPIN: new generation health search engine using UMLS knowledge sources for MeSH term extraction from health documentation.

To realize the potential of the Internet as a source of valuable healthcare information, for the general public, patients or practitioners, it is imperative to establish a validation system based on standards of quality. The WRAPIN project (World-wide online Reliable Advice to Patients and Individuals) from the European Community has this ambitious goal. WRAPIN is a federating system for medical information with an editorial policy of intelligently sharing quality and professional information.

Coping with the variability of medical terms.

Objectives: To cope with medical terms, which present a high variability of expression through a single natural language, in the sense that any term may be reformulated in hundred of different ways.

Methods: A typology of term variants is presented as a systematic approach in order to favour the implementation of an exhaustive solution. Then, an algorithm able to handle all variants is designed.