Kedar Radhakrishna

ORCID: 0000-0002-2334-5285
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About
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Research Areas
  • HIV/AIDS Research and Interventions
  • HIV, Drug Use, Sexual Risk
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Healthcare
  • User Authentication and Security Systems
  • Vaccine Coverage and Hesitancy
  • Electronic Health Records Systems
  • Patient Safety and Medication Errors
  • Biometric Identification and Security
  • Topic Modeling
  • Dermatoglyphics and Human Traits
  • Adolescent Sexual and Reproductive Health
  • Infection Control in Healthcare
  • Ethics in Clinical Research
  • ICT in Developing Communities
  • Burn Injury Management and Outcomes
  • Mobile Health and mHealth Applications
  • Big Data and Business Intelligence

St. John's National Academy of Health Sciences
2016-2017

St. John's University
2015

St.John's Medical College Hospital
2013

Introduction: The effect of stigma on health and inequity is increasingly recognized. While many medical conditions trigger stigmatization, the negative effects HIV are particularly well documented. undermines access, uptake, adherence to both prevention treatment. People living with face in all aspects their daily lives; however, system detrimental. A key component for facility stigma-reduction interventions participatory training staff, often through several days in-person training. Though...

10.3389/fpubh.2018.00165 article EN cc-by Frontiers in Public Health 2018-06-21

This paper proposes an novel approach to extract the Region of interest (ROI) for palm print and inner knuckle print(IKP) from hand images captured a digital camera.An new algorithm detect candidate key points on region is described.Using locate ROI proposed.The proposed evaluated using database collected at our institute.The results obtained are promising confirm usefulness extraction developing based biometric recognition systems.

10.5120/ijca2015905784 article EN International Journal of Computer Applications 2015-08-18
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