scholarly journals Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases

2018 ◽  
Vol 15 (12) ◽  
pp. 2787
Author(s):  
Albert Moreira ◽  
Raul Alonso-Calvo ◽  
Alberto Muñoz ◽  
José Crespo
Keyword(s):  
Social Network ◽  
Clinical Case ◽  
Relevant Information ◽  
Online Discussions ◽  
Biomedical Knowledge ◽  
Expert Opinions ◽  
Health Social Network ◽  
Discussion System ◽  
Key Indicators ◽  
Clinical Cases

The Internet and social media is an enormous source of information. Health social networks and online collaborative environments enable users to create shared content that afterwards can be discussed. The aim of this paper is to present a novel methodology designed for quantifying relevant information provided by different participants in clinical online discussions. The main goal of the methodology is to facilitate the comparison of participant interactions in clinical conversations. A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. Particularly, three new indicators have been proposed to make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. Proposed indicators have been applied to one discussion extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a health social network. This work can be applied to assess collaborative diagnoses, discussions among patients, and the participation of students in clinical case discussions. It permits moderators and educators to obtain a quantitatively measure of the contribution of each participant.

Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases (Preprint)

2018 ◽  
Author(s):  
Albert Moreira ◽  
Raul Alonso-Calvo ◽  
Alberto Muñoz ◽  
Jose Crespo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Relevant Information ◽  
Online Discussions ◽  
Biomedical Knowledge ◽  
Expert Opinions ◽  
Health Related ◽  
Health Social Network ◽  
Discussion System ◽  
Clinical Cases

BACKGROUND Internet and Social media is an enormous source of information. Health Social Networks and online collaborative environments enable users to create shared content that afterwards can be discussed. While social media discussions for health related matters constitute a potential source of knowledge, characterizing the relevance of participations from different users is a challenging task. OBJECTIVE The aim of this paper is to present a methodology designed for quantifying relevant information provided by different participants in clinical online discussions. METHODS A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. These indicators make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. RESULTS Proposed indicators have been applied to two discussions extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. CONCLUSIONS The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a Health Social Network.

scholarly journals CONSENSUAL GAMES IN NETWORK WARS AND THE IMPLANT PHENOMENON

2020 ◽  
Vol 4 (4) ◽  
pp. 393-399
Author(s):  
E.V. Bakshutova
Keyword(s):  
Social Network ◽  
Scientific Literature ◽  
Social Issues ◽  
Online Discussions ◽  
Expert Assessment ◽  
Research Experience ◽  
The Social ◽  
Russian President ◽  
First Time ◽  
Medicine Education

This article summarizes the author's research experience in 2018-2020 on the possibility of script implantation in online discussions of an aggressive nature to prevent their destructive impact on personality and social consent. At this stage, script implantation is conceptualized by us as network peacekeeping to reduce the level of aggression in communications. The work analyzes how peacemaking is presented in scientific literature of various directions - military, philosophical, political science, conflictological, and it is revealed that the psychological aspects of peacekeeping are of increasing interest, since the practice of peacekeeping is fraught with many problems. Moreover, the practice of network peacemaking as work with language and group sociocognitive psychology is offered for the first time. The study was conducted in 2018-2020 in the Russian-speaking sector of the social network Facebook. It is shown that the analysis of 5022 comments in 2018, 2458 - in 2019, 3139 - in 2020 allows identifying such trigger topics of online discussions as “It is good or bad to be Russian”, “President of Russia”, “Ukraine”, “Protests”. Social issues: the problems of pensioners, childhood, medicine, education - are discussed, but with less intensity. Summarizing the experience of search experiments, the author shows in which categories and subcategories such phenomena as collective fears, resentment, aggression, separatism and terrorism are represented. Work on creating script templates for networked peacekeeping is noted. An expert assessment of the selected texts allows us to assert that the management of triggered discussions is possible. The research is financially supported by the Russian Foundation for Humanities, project no. 18-013-00171 А.

Combined urogenital abnormalities of development and the formation of reproductive health in girls

2021 ◽  
Vol 25 (6) ◽  
pp. 99-105
Author(s):  
Yu. Yu. Chebotareva ◽  
G. M. Letifov ◽  
M. A. Rodina
Keyword(s):  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Reproductive Health ◽  
Tract Infection ◽  
Clinical Case ◽  
Recurrent Urinary Tract Infection ◽  
Practical Importance ◽  
Type I ◽  
Functional Features ◽  
Clinical Cases

BACKGROUND. Anomalies in the development of the uterus and vagina in some cases are combined with defects of the urinary tract. Therefore, the analysis of clinical situations associated with combined urogenital pathology in girls is of current and practical importance.THE AIM: to assess the state of reproductive health in girls with reproductive anomalies, renal agenesis, and other diseases of the urinary tract.PATIENTS AND METHODS. The study was conducted in 5 adolescent girls, including 3 patients with kidney agenesis, 1 patient with dysmetabolic nephropathy and nephroptosis, and 1 patient with recurrent urinary tract infection. In the analysis of clinical cases, the anatomical and functional features of the reproductive system are presented.RESULTS. The first 3 clinical cases are associated with the presence of kidney agenesis in the girl. In 1 clinical case, the clinic of the Mayer-Rokitansky-Kuester-Hauser syndrome (SMRKH) type II, including aplasia of the uterus and vagina and renal malformation, is presented. In clinical case 2, it was shown that modern transabdominal ultrasound examination of the pelvic organs, similar to MRI, can reveal the Herlin-Werner-Wunderlich syndrome. Agenesis of the kidney is one of the manifestations of trisomy of 22 pairs of chromosomes, which was noted in a patient from 3 clinical cases. 4 clinical cases is associated with the fact that kidney pathology, including nephroptosis, dysmetabolic nephropathy, can be combined with impaired sexual development. In 5 clinical case, type I SMRCC was described in a patient with recurrent urinary tract infection.CONCLUSION. Congenital malformations of the female genital organs are a rare pathology that requires special attention. Due to insufficient data concerning the mechanism of development of malformations of the genitourinary system, this problem requires further detailed study.

Semantic-Based Indexing Approaches for Medical Document Clustering Using Cognitive Search

2019 ◽  
pp. 41-64
Author(s):  
Logeswari Shanmugam ◽  
Premalatha K.
Keyword(s):  
Text Processing ◽  
Relevant Information ◽  
Biomedical Literature ◽  
Data Sets ◽  
Original Text ◽  
Biomedical Knowledge ◽  
Text Data ◽  
Natural Language Text ◽  
Diverse Data ◽  
Medical Document

Biomedical literature is the primary repository of biomedical knowledge in which PubMed is the most absolute database for collecting, organizing and analyzing textual knowledge. The high dimensionality of the natural language text makes the text data quite noisy and sparse in the vector space. Hence, the data preprocessing and feature selection are important processes for the text processing issues. Ontologies select the meaningful terms semantically associated with the concepts from a document to reduce the dimensionality of the original text. In this chapter, semantic-based indexing approaches are proposed with cognitive search which makes use of domain ontology to extract relevant information from big and diverse data sets for users.

Need of Intelligent Search in Dynamic Social Network

2018 ◽  
pp. 144-157
Author(s):  
Shailendra Kumar Sonkar ◽  
Vishal Bhatnagar ◽  
Rama Krishna Challa
Keyword(s):  
Information Retrieval ◽  
Social Network ◽  
Web Mining ◽  
Relevant Information ◽  
Future Research ◽  
Intelligent Search ◽  
Dynamic Social Network ◽  
The Social ◽  
Intelligent Information ◽  
Conference Papers

The user of dynamic social network does not require irrelevant and vast amount of information during a search. A need of an intelligent search is required to get the reduced, filtered and relevant information that is achieved using an intelligent information retrieval and web mining. In this paper, identification and description of facts related to needs of an intelligent search in dynamic social network has been done by the authors after the deep and thorough study conducted on several journal and conference papers that are scattered on different electronic databases globally. The usage of intelligent agent for effective information retrieval from the social network site is a very emerging area and it will help the users to find the relevant and concerned information quickly and efficiently. The findings of the authors will help researchers and scholars who are already working in this area to get the relevant information in the direction of future research.

Social Network Mining from the Web

2011 ◽  
pp. 149-175 ◽  
Author(s):  
Yutaka Matsuo ◽  
Junichiro Mori ◽  
Mitsuru Ishizuka
Keyword(s):  
Social Network ◽  
Search Engine ◽  
Relevant Information ◽  
Web Content ◽  
Message Boards ◽  
Network Information ◽  
Network Mining ◽  
Social Network Mining ◽  
The Social ◽  
The Web

This chapter describes social network mining from the Web. Since the end of the 1990s, several attempts have been made to mine social network information from e-mail messages, message boards, Web linkage structure, and Web content. In this chapter, we specifically examine the social network extraction from the Web using a search engine. The Web is a huge source of information about relations among persons. Therefore, we can build a social network by merging the information distributed on the Web. The growth of information on the Web, in addition to the development of a search engine, opens new possibilities to process the vast amounts of relevant information and mine important structures and knowledge.

The role of biomedical knowledge in diagnosis of difficult clinical cases

2007 ◽  
Vol 12 (4) ◽  
pp. 417-426 ◽  
Author(s):  
Nicole N. Woods ◽  
Lee R. Brooks ◽  
Geoffrey R. Norman
Keyword(s):  
Biomedical Knowledge ◽  
Clinical Cases

scholarly journals PARANEOPLASTIC SYNDROMES IN THE PRACTICE OF A NEUROLOGIST (CLINICAL CASES)

2019 ◽  
pp. 44-51
Author(s):  
N. L. Bozhenko ◽  
M. I. Bozhenko ◽  
S. Y. Кyrylyuk ◽  
I. M. Bozhenko ◽  
A. O. Tyutko
Keyword(s):  
Differential Diagnosis ◽  
Clinical Case ◽  
Careful Analysis ◽  
Paraneoplastic Syndromes ◽  
Systemic Effects ◽  
Malignant Diseases ◽  
The Future ◽  
Clinical Cases

Paraneoplastic syndromes are the rare states caused by a change in the immune system's response to neoplasms. These include non-metastatic systemic effects that accompaniy malignant diseases. Diagnosis of these syndromes has some difficulties. In this article clinical cases of patients with paraneoplastic syndromes are analyzed and differential diagnosis is performed. Careful analysis of each clinical case is extremely important for the accumulation of experience, improvement of diagnostics and avoiding mistakes in the future.

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