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Research deserves a clear path to the world.
We connect rigorous scholarship with the readers, practitioners, and communities who can put it to use.
01Our mission
Make quality research easier to share.
Our mission is to provide academicians, researchers, and scholars with up-to-date information on discoveries, developments, and ongoing activities in the fields of science and technology. We aim to make this information easily accessible, enabling individuals in these domains to stay informed effortlessly.
02Our vision
Build trust through open scholarship.
Our vision is to uphold the highest standards of quality in the publication of research and review articles. We are deeply committed to the timely and effective dissemination of peer-reviewed, top-quality work. To achieve this, we have assembled a team of esteemed editorial members representing diverse disciplines and specializations. Their dedication ensures an efficient and constructive review process that aligns with international research publishing standards.
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Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Diabetes Prediction Using Logistic Regression Machine Learning Algorithm
Research Journal of Medical ScienceDiabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning classification technique in clinical research...
DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
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