Methods in Year 50: Preserving the Past and Preparing for the Future

Haux, Reinhold; Aronsky, Dominik; Leong, Tze-Yun; McCray, Alexa T.

doi:10.3414/me10-05-0005

Cited by 12 publications

(4 citation statements)

References 29 publications

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“…From June 9 to 11, 2011, a symposium celebrating the 50th anniversary of Methods of Information in Medicine (MIM) [20] was held in Heidelberg, Germany. A broad spectrum of BMI researchers attended, in addition to members of the MIM board.…”

Section: Discussionmentioning

confidence: 99%

Biomedical Informatics Publications: a Global Perspective

Maojo¹,

García-Remesal²,

Bielza³

et al. 2012

Methods Inf Med

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SummaryBackground: Biomedical Informatics (BMI) is a broad discipline, having evolved from both Medical Informatics (MI) and Bioinformatics (BI). An analysis of publications in the fieldshould provide an indication about the geographic distribution of BMI research contributions and possible lessons for the future, both for research and professional practice. Objectives: In part I of our analysis of biomedical informatics publications we presented results from BMI conferences. In this second part, we analyse BMI journals, which provide a broader perspective and comparison between data from conferences and journals that ought to confirm or suggest alternatives to the original distributional findings from the conferences.

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Section: Discussionmentioning

confidence: 99%

Biomedical Informatics Publications: a Global Perspective

Maojo¹,

García-Remesal²,

Bielza³

et al. 2012

Methods Inf Med

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“…Being closely related, it is probably obvious to observe, among the disciplines, overlaps in the problems to be solved, and in the methods being used. In my opinion it is important to share and discuss such overlapping methodological developments and to have journals like Methods, where this is possible [41, section 4, page 501], [50], [51]). …”

Section: On Relationships With Other Disciplines and A Unique Featurementioning

confidence: 99%

On Determining Factors for Good Research in Biomedical and Health Informatics

Haux

2014

Yearb Med Inform

Self Cite

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Summary Objective: What are the determining factors for good research in medical informatics or, from a broader perspective, in biomedical and health informatics? Method: From the many lessons learned during my professional career, I tried to identify a fair sampling of such factors. On the occasion of giving the IMIA Award of Excellence lecture during MedInfo 2013, they were presented for discussion. Results: Sixteen determining factors (df) have been identified: early identification and promotion (df1), appropriate education (df2), stimulating persons and environments (df3), sufficient time and backtracking opportunities (df4), breadth of medical informatics competencies (df5), considering the necessary preconditions for good medical informatics research (df6), easy access to high-quality knowledge (df7), sufficient scientific career opportunities (df8), appropriate conditions for sustainable research (df9), ability to communicate and to solve problems (df10), as well as to convey research results (df11) in a highly inter- and multidisciplinary environment, ability to think for all and, when needed, taking the lead (df12), always staying unbiased (df13), always keeping doubt (df14), but also always trying to provide solutions (df15), and, finally, being aware that life is more (df16). Conclusions: Medical Informatics is an inter- and multidisciplinary discipline “avant la lettre”. Compared to monodisciplinary research, inter- and multidisciplinary research does not only provide significant opportunities for solving major problems in science and in society. It also faces considerable additional challenges for medical informatics as a scientific field. The determining factors, presented here, are in my opinion crucial for conducting successful research and for developing a research career. Since medical informatics as a field has today become an important driving force for research progress, especially in biomedicine and health care, but also in fields like computer science, it may be helpful to consider such factors in relation with research and education in our discipline.

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“…The current era can be considered as a golden age for Biomedical Informatics (BI) [1,2,3]. After the early days of enthusiasm followed by a period of disillusion, [4,5], BI has now matured to the level of being an essential component of health care activities and biomedical research [6,7].…”

Section: Introductionmentioning

confidence: 99%

Data Analysis and Data Mining: Current Issues in Biomedical Informatics

Bellazzi¹,

Diomidous²,

Sarkar³

et al. 2011

Methods Inf Med

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Summary Background Medicine and biomedical sciences have become data-intensive fields, which, at the same time, enable the application of data-driven approaches and require sophisticated data analysis and data mining methods. Biomedical informatics provides a proper interdisciplinary context to integrate data and knowledge when processing available information, with the aim of giving effective decision-making support in clinics and translational research. Objectives To reflect on different perspectives related to the role of data analysis and data mining in biomedical informatics. Methods On the occasion of the 50th year of Methods of Information in Medicine a symposium was organized, that reflected on opportunities, challenges and priorities of organizing, representing and analysing data, information and knowledge in biomedicine and health care. The contributions of experts with a variety of backgrounds in the area of biomedical data analysis have been collected as one outcome of this symposium, in order to provide a broad, though coherent, overview of some of the most interesting aspects of the field. Results The paper presents sections on data accumulation and data-driven approaches in medical informatics, data and knowledge integration, statistical issues for the evaluation of data mining models, translational bioinformatics and bioinformatics aspects of genetic epidemiology. Conclusions Biomedical informatics represents a natural framework to properly and effectively apply data analysis and data mining methods in a decision-making context. In the future, it will be necessary to preserve the inclusive nature of the field and to foster an increasing sharing of data and methods between researchers.

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Methods in Year 50: Preserving the Past and Preparing for the Future

Cited by 12 publications

References 29 publications

Biomedical Informatics Publications: a Global Perspective

Biomedical Informatics Publications: a Global Perspective

On Determining Factors for Good Research in Biomedical and Health Informatics

Data Analysis and Data Mining: Current Issues in Biomedical Informatics

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