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Subhagata Chattopadhyay

Department of Research and Development, Indus Training and Research Institute, Bangalore, Karnataka, India

Publications

  • Research Article   
    Towards Predicting the Grade of Erectile Dysfunction with a Fuzzy Decision System: Application of Artificial Intelligence in Male Sexual Health
    Author(s): Subhagata Chattopadhyay*

    The incidence and prevalence of male sexual disorders are on a rise. Cigarette smoking, alcoholism, mental illnesses, metabolic diseases, lifestyle issues, and their various combinations are some key causes of it. Erectile dysfunction (ED) is defined as an inability to achieve and maintain an erection for successful sexual intercourse. Sexuality is a taboo across the globe. Therefore, patients suffering from an ED usually skip visiting the doctors and indulge in self-medications, e.g., over-the-counter use of aphrodisiacs and various erection-inducing drugs. As a result, many suffer from serious side effects or even die. This paper aims to predict the grade of ED (dependent parameter) based on the grades of three independent parameters, such as (a) cigarette smoking, (b) diabetes (blood level of HbA1c), Medical/health informatics, and (c) hypertension with a fuzzy decision system (FDS.. Read More»
    10.24105/ejbi.2022.19.1.144-148

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  • EBSCO Publishing's Electronic Databases
  • Exlibris – Primo Central
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  • National Science Library
  • ProQuest
  • TdNet
  • African Index Medicus
Annals of Medical and Health Sciences Research The European Journal of Biomedical Informatics is a monthly multidisciplinary medical journal.
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