Brijendra Singh

Verified email at gmail.com

Assistant Professor Senior
Vellore Institute of Technology



                       

https://researchid.co/bobsanju.2019

RESEARCH INTERESTS

Soft Computing Techniques

13

Scopus Publications

Scopus Publications

  • Computational intelligence techniques for efficient delivery of healthcare
    Brijendra Singh and D. P. Acharjya

    Health and Technology, ISSN: 21907188, eISSN: 21907196, Pages: 167-185, Published: 1 January 2020 Springer Science and Business Media LLC
    Computational intelligence innovation and the use of computers have changed the entire healthcare delivery system. Nurses are the leading crew of healthcare organization. But, these nurses are either lacking in computer usage or automated analysis generated by computers. Therefore, it motivates to study the use of computers and information technology by nurses in Indian healthcare system. Further, it is essential to identify the chief factors where these nurses are lacking while using computers and information technology. This will help the management to take necessary measure to train them and make the healthcare industry more productive in perception with usage of computer and information technology. To this end, data has collected from nurses in hospitals in the state of Tamilnadu, India. Data collection is not beneficial unless it is analyzed and meaningful information obtained from it. In this paper, we hybridize rough set and formal concept analysis to arrive at chief factors affecting the decisions. Rough set is used to analyze the data and to generate rules. These generated rules further passed into formal concept analysis to identify the chief characteristics affecting the decisions. This in turn help the organization to provide adequate training to the nurses and the healthcare system will move further to the next stage.

  • Computational intelligence techniques for efficient delivery of healthcare
    Brijendra Singh and D. P. Acharjya

    Health and Technology, ISSN: 21907188, eISSN: 21907196, Published: 2019 Springer Science and Business Media LLC
    Computational intelligence innovation and the use of computers have changed the entire healthcare delivery system. Nurses are the leading crew of healthcare organization. But, these nurses are either lacking in computer usage or automated analysis generated by computers. Therefore, it motivates to study the use of computers and information technology by nurses in Indian healthcare system. Further, it is essential to identify the chief factors where these nurses are lacking while using computers and information technology. This will help the management to take necessary measure to train them and make the healthcare industry more productive in perception with usage of computer and information technology. To this end, data has collected from nurses in hospitals in the state of Tamilnadu, India. Data collection is not beneficial unless it is analyzed and meaningful information obtained from it. In this paper, we hybridize rough set and formal concept analysis to arrive at chief factors affecting the decisions. Rough set is used to analyze the data and to generate rules. These generated rules further passed into formal concept analysis to identify the chief characteristics affecting the decisions. This in turn help the organization to provide adequate training to the nurses and the healthcare system will move further to the next stage.

  • Sentimental Analysis for Airline Twitter data
    Deb Dutta Das, Sharan Sharma, Shubham Natani, Neelu Khare, and Brijendra Singh

    IOP Conference Series: Materials Science and Engineering, ISSN: 17578981, eISSN: 1757899X, Volume: 263, Published: 3 December 2017 IOP Publishing
    Social Media has taken the world by surprise at a swift and commendable pace. With the advent of any kind of circumstances may it be related to social, political or current affairs the sentiments of people throughout the world are expressed through their help, making them suitable candidates for sentiment mining. Sentimental analysis becomes highly resourceful for any organization who wants to analyse and enhance their products and services. In the airline industries it is much easier to get feedback from astute data source such as Twitter, for conducting a sentiment analysis on their respective customers. The beneficial factors relating to twitter sentiment analysis cannot be impeded by the consumers who want to know the who's who and what's what in everyday life. In this paper we are classifying sentiment of Twitter messages by exhibiting results of a machine learning algorithm using R and Rapid Miner. The tweets are extracted and pre-processed and then categorizing them in neutral, negative and positive sentiments finally summarising the results as a whole. The Naive Bayes algorithm has been used for classifying the sentiments of recent tweets done on the different airlines.

  • Nurse’s attitude towards computerization in private hospitals of Tamil Nadu, India
    Brijendra Singh

    Research Journal of Pharmacy and Technology, ISSN: 09743618, eISSN: 0974360X, Pages: 1451-1456, Published: December 2016 Diva Enterprises Private Limited
    The study has been carried out in the medium Select hospitals at Tamil Nadu, India. The purpose of this study is to determine the attitude of nurses towards computerization and factors affecting the use of computers. Variables including gender, marital status, qualification, age and type of job have been studied. A random sample of 600 nurses formed the study population. Out of them 164 nurses responded to the survey. Analysis of Variance (ANOVA) test was done to analyze the data. Results show that gender has no impact on nurse’s attitude towards computerization. Marital status, qualification level, age and type of job have been found to affect the attitude of nurses in use of computers at their workplace. Unmarried nurses have more positive attitude than married nurse. Nurses possess bachelor degree got more positive attitude than diploma holder nurses towards computers. Nurses with age range 20-25 years had more positive attitude than nurses above 26 years. Full time working nurses have more positive attitude than part time working nurses towards computerization. Lack of computers is the major concern in use of computers at their work place. Results of the study may be useful for nurse administrators and educators to develop and design educational and training programs.

  • IOT: Framework for smart city
    International Journal of Pharmacy and Technology, eISSN: 0975766X, Pages: 25432-25439, Published: December 2016

  • Comparitive study on big data architectures proposed for smart cities context
    International Journal of Pharmacy and Technology, eISSN: 0975766X, Pages: 25440-25451, Published: December 2016

  • Analytical hierarchical process (AHP) and fuzzy AHP applications-A review paper
    International Journal of Pharmacy and Technology, eISSN: 0975766X, Pages: 4925-4946, Published: December 2016

  • Job type influence in the use of information technologyby nurses in private hospitals in the state of tamilnadu in India
    International Journal of Pharmacy and Technology, eISSN: 0975766X, Pages: 25419-25431, Published: December 2016

  • Information technology training needs and health awareness among nurses in india
    International Journal of Pharmacy and Technology, eISSN: 0975766X, Pages: 21566-21570, Published: December 2016

  • Use of information technology by nurses in private hospitals in the state of Tamil Nadu in India
    Brijendra Singh and J. Senthil

    Mediterranean Journal of Social Sciences, ISSN: 20399340, eISSN: 20392117, Issue: 4S2, Pages: 658-666, Published: 1 July 2015 Richtmann Publishing
    The aim of the study was to assess the comfort level and frequency in the use of information technology (IT) among nurses and analyze the relationship between various factors governing their use. A survey was conducted during 2013-14 at select Indian Hospitals of Tamil Nadu State. Correlation analysis and ANOVA test were used to analyze the data. The nurses working in the medium sized hospitals in the State are the study population. A random sample of 600 nurses was selected for the study. Gender, qualification and age level were analyzed to found the influence on use of computer hardware, communication and administrative related activities using computers. Effective and majority use of computers for information processing activities, communication, planning and policy development activities, finance, administration, education and research can lead healthcare organization to run their processes efficiently. Hospitals can provide appropriate computer training programs and computers access to nurses to realize the benefits from IT. Healthcare professionals may encourage nurses to use IT and computers at their work place by providing them attractive incentives. DOI: 10.5901/mjss.2015.v6n4s2p658

  • Use of information technology among school students in the state of Tamil Nadu, India
    International Journal of Applied Engineering Research, ISSN: 09734562, eISSN: 09739769, Pages: 2201-2209, Published: 2015

  • Factors affecting the adoption of electronic health records by nurses
    World Applied Sciences Journal, ISSN: 18184952, eISSN: 19916426, Pages: 1531-1535, Published: 2013

  • Use of Artificial Intelligence in automation of sequential steps of software development / production
    Journal of Theoretical and Applied Information Technology, ISSN: 19928645, eISSN: 18173195, Pages: 380-387, Published: November 2013