Bioinformatics for Healthcare Applications

Vinayak Majhi, Sudip Paul, Rachna Jain

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)


Bioinformatics is the combination of health information, data and knowledge. It uses computational techniques and tools to analyze the enormous biological data bases. The diseases such as metabolic disorders, urea cycle disorders, inborn errors and path-aligner can be identified at the early stage using various bioinformatics computational tools. These tools are used to process genetics and proteomics data and compare with health care data. Health care data consists of physiological data from various muscles or organs co acquiesced by using various electronic components, cost reports, bill claims and surveys related to patient satisfaction. Health care analysts are helpful to provide best health care at the lower price which is good for family economic system. This paper briefly explains the history applications of bioinformatics. The brief information about various kinds of computational tools and databases with respect to the application are mentioned. The current research trends in the bioinformatics are concluded.

Original languageEnglish
Title of host publicationProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
Place of PublicationDubai
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781538693469
Publication statusPublished - 26 Apr 2019
EventAmity International Conference on Artificial Intelligence -AICAI'19 - Dubai, United Arab Emirates
Duration: 4 Feb 20196 Feb 2019

Publication series

NameProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019


ConferenceAmity International Conference on Artificial Intelligence -AICAI'19
Abbreviated titleAICAI 2019
Country/TerritoryUnited Arab Emirates
OtherThe AICAI 2019: Amity International Conference on Artificial Intelligence aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results Artificial Intelligence and Machine learning. Focused on a cross-industry discussion, the conference will provide a platform to learn proven case studies and success stories across industries and the risks and potential, AI, Machine Learning and Soft Computing. The conference plays role of main axis to bridge the gap between two global knowledge antipodes, the academia and the industry, it also work as pool of information, which in future processed and stored as knowledge into the minds of participants and readers of the proceedings. The Conference will not only take stock of trends and developments at the globally competitive environment. Besides, it will help in sharing of experience and exchange of ideas, which will foster National and international collaborations. The Conference would be of immense benefit to Management, Researchers, Academicians, Industry and participants from Technical Institutes, R & D Organizations and students working in the field of AI.
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