San Diego, United States
Submission Deadline: Wednesday 10 Mar 2021
Conference Dates: Oct 30, 2021 - Oct 30, 2021
The main research concerns discussed in American Medical Informatics Association Annual Symposium are Artificial intelligence, Data science, Information retrieval, Text mining and MEDLINE. Topics in Artificial intelligence were tackled in line with various other fields like Machine learning and Natural language processing. Topics in Data science explored in the conference were investigated in conjunction with research in Health informatics and World Wide Web.
It addresses concerns in the field of Health informatics by exploring it in line with topics in Knowledge management which intersect with Decision support system subjects. Specifically, studies on Web application are prevalent in the World Wide Web works discussed. Discussions in American Medical Informatics Association Annual Symposium are anchored in the subject of Information retrieval and the similar topic of Terminology.
American Medical Informatics Association Annual Symposium tackles topics on Text mining, which can potentially contribute to the wider field of Data mining. While the conference focused on MEDLINE, it was also able to explore topics like Health care and Medical emergency. It links adjacent topics like Medical emergency with Nursing.
The published papers mainly tackle studies in Artificial intelligence, Information retrieval, Natural language processing, MEDLINE and Text mining. The conference papers address concerns in Artificial intelligence which are intertwined with other disciplines, such as Domain (software engineering), Machine learning, Set (abstract data type) and Data mining. The published papers hold forums on MEDLINE that merge themes from other disciplines such as Health care, Medical record, Medical emergency, Decision support system and Data science.
The conference mostly deals with topics like Artificial intelligence, Natural language processing, MEDLINE, Machine learning and Health care. Artificial intelligence research presented in it encompasses a variety of subjects, including Named-entity recognition and Task (project management). The Natural language processing works featured in the conference incorporate elements from Pipeline (software), Narrative and Identification (information).
Identification (information) research in the event involves the investigation of Chart studies, all of which are linked to disciplines such as Text mining. It explores issues in MEDLINE which can be linked to other research areas like Recurrent neural network, Clinical trial, Intensive care medicine, Disease and Coronavirus disease 2019 (COVID-19). The studies in Context (language use) featured incorporate elements of Recall and Information retrieval.
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at American Medical Informatics Association Annual Symposium (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at American Medical Informatics Association Annual Symposium (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 28.33% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
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