Neha Kamble | India

International Journal of Medical Research & Health Sciences (IJMRHS)
ISSN: 2319-5886 Indexed in: ESCI (Thomson Reuters)

Neha Kamble

Department of Computer Engineering, Thakur College of Engineering & Technology, Mumbai, India


  • Research   
    Data Mining for Diagnosis of Diabetes
    Author(s): Neha Kamble* and Rashmi Thakur

    Diabetes is a sickness which is influencing numerous individuals now-a-days. The majority of exploration is occurring around here. In this paper, we proposed a model to tackle the issues in existing framework in applying information mining methods specifically bunching and arrangements which are applied to dissect the kind of diabetes and its reality level for each persevering from the data assembled. The continuous report of WHO exhibits an uncommon move in the amount of diabetic patients and this will be in a comparative model in the coming many years as well. Early distinctive verification of diabetes is a fundamental test. Data mining has expected a fundamental occupation in diabetes. Data mining would be a significant asset for diabetes experts since it can uncover hid gaining from a huge proportion of diabetes related data. Diverse data mining frameworks assist diabetes with exp.. Read More»

    Abstract HTML PDF

Select your language of interest to view the total content in your interested language

Scope Categories
  • Clinical Research
  • Epidemiology
  • Oncology
  • Biomedicine
  • Dentistry
  • Medical Education
  • Physiotherapy
  • Pulmonology
  • Nephrology
  • Gynaecology
  • Dermatology
  • Dermatoepidemiology
  • Otorhinolaryngology
  • Ophthalmology
  • Sexology
  • Osteology
  • Kinesiology
  • Neuroscience
  • Haematology
  • Psychology
  • Paediatrics
  • Angiology/Vascular Medicine
  • Critical care Medicine
  • Cardiology
  • Endocrinology
  • Gastroenterology
  • Infectious Diseases and Vaccinology
  • Hepatology
  • Geriatric Medicine
  • Bariatrics
  • Pharmacy and Nursing
  • Pharmacognosy and Phytochemistry
  • Radiobiology
  • Pharmacology
  • Toxicology
  • Clinical immunology
  • Clinical and Hospital Pharmacy
  • Cell Biology
  • Genomics and Proteomics
  • Pharmacogenomics
  • Bioinformatics and Biotechnology