Special Issue "Data-Driven Healthcare Research"
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (31 July 2018)
Prof. Dr. You Chen
Department of Biomedical Informatics, Vanderbilt University
Website 1 | Website 2 | E-Mail
Interests: data mining and machine learning in healthcare, predictive analytics in healthcare, value-based care, patient centered care, healthcare organization modeling, clinical workflow modeling, clinical phenotype learning, patient outcome prediction, drug reposition and health data security and privacy
We cordially invite you to submit your contribution to Informatics. Informatics (ISSN 2227-9709) is an international, open access journal on information and communication technologies, human–computer interaction, and social informatics, and is published quarterly online by MDPI. This Special Issue highlights the most novel data-driven healthcare research to discover useful and actionable knowledge and gain insights from raw data to improve human health, such as saving lives, reducing medical errors, increasing efficiency, reducing costs, and improving patient outcome.
The theme of this Special Issue is “Health Data Science”. We have been witnessing a digital revolution in healthcare, such as the development of various emerging technologies, including electronic medical record systems, patient engagement systems, healthcare social media systems, wearable devices, smart phones, cloud computing, and big data analytics tools. The amount of healthcare data is growing every second in these systems. We invite the submission of papers on novel methods for exploring and analyzing healthcare data, such as data mining, machine learning, predictive analytics and knowledge discovery from medical data, disease diagnostic predictive models, disease profiling and personalized medicine, healthcare workflow mining, healthcare organization modeling, social media and web data analytics for public health, hospital readmission and patient length of stay analytics, natural language processing and text mining, recommender systems, clinical phenotyping, and innovative visualization techniques for the query and analysis of medical data. Papers may also report studies on data quality assurance, data cleaning, pre-processing, and ensuring quality and integrity of healthcare data. Additionally, we encourage submission on privacy and security in sharing healthcare data, as well as evaluation and validation of methods in healthcare data analytics.Prof. Dr. You Chen
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- health data science
- data mining
- machine learning
- predictive analytics
- personalized medicine
- electronic medical records
- healthcare social media
- healthcare operational action logs
- clinical workflow modeling
- helathcare organizaiton modleing
- patient centered care
- clincial phenotyping algorithms
- visualization techniques
- patient length of stay
- data security and privacy
- data quality
- natrual language processing
- evaluation and validation