chaman kumar - Academia.edu (original) (raw)

Papers by chaman kumar

Research paper thumbnail of Treatment of thyroid disease through machine learning predictive model

International journal of health sciences

The thyroid seems to be an part of the endocrine system that is placed toward the front of neck a... more The thyroid seems to be an part of the endocrine system that is placed toward the front of neck and produces thyroxine, which are essential for our overall health. If it fails, thyroid hormone production will either be insufficient or excessive. Machine learning techniques and data mining are critical in processing large amounts of data, particularly in the health care system, where there has been a massive amount of information and data need to be managed. In our research on thyroid disease, we used machine learning approaches. In our study, we used statistics from patients, a few of which has hyperactive thyroid glands moreover those have hypothyroidisms; therefore, overall algorithms were used. These study aims to divide this disease in few categories like as hypothyroidism, regular and hyperthyroidism. Support vector machine include KNN, naive-bayes, logistic regressions, decision tree, random forest, discriminant function analysis, and multilayer perceptron (MLP). To the thyroi...

Research paper thumbnail of Machine learning application

International journal of health sciences

The Coronavirus which is scientifically named COVID-19. Its strain was found in Wuhan, a city of ... more The Coronavirus which is scientifically named COVID-19. Its strain was found in Wuhan, a city of China, at the end of 2019. After that the case of coronavirus started spreading quickly around the world and has turned it into a huge global pandemic. Now coronavirus has made a huge impact on human lives since the last several years where people are losing their lives, people are losing their jobs. It has a devastating effect on human life already. Since this virus has come as a complete surprise to everyone in 2019 there were not so many detection or screening methods or trained healthcare workers for this medical challenge and the virus being airborne was spreading really very rapidly. It has been found that COVID-19 affects the epithelial cells which are present in the respiratory tract of our body, so we can use X-ray images and various artificial intelligence techniques to detect the virus. We have built a Deep Learning model, and trained over 200 COVID-19 positive X-ray images an...

Research paper thumbnail of Population dynamics of thrips of mung bean (Vigna radiata (L.) Wilczek) during summer 2018

Journal of entomology and zoology studies, 2020

The investigation was carried out at Research Farm of Birsa Agricultural University Kanke, Ranchi... more The investigation was carried out at Research Farm of Birsa Agricultural University Kanke, Ranchi during summer 2018. The mean population of thrips were commenced from third week after sowing and reached to its peak 18.0 thrips/5 plant during 8th week after sowing i.e. 19th standard meteorological week of May, 2018. Thereafter it declined gradually when maximum temperature (39.0 °C), minimum temperature (22.7 °C), relative humidity maximum (84.7%) and minimum (40.9%) and rainfall (5.3mm) were recorded. The thrips population were recorded maximum during flowering to pod filling stage of mung bean. The correlation study indicated that the correlation between thrips population and temperature (maximum and minimum) were exhibited positively significant and non-significantly negatively correlated with maximum relative humidity and also non-significantly correlated with minimum relative humidity. When rainfall was taken in to consideration then population of thrips non-significantly corre...

Research paper thumbnail of Treatment of thyroid disease through machine learning predictive model

International journal of health sciences

The thyroid seems to be an part of the endocrine system that is placed toward the front of neck a... more The thyroid seems to be an part of the endocrine system that is placed toward the front of neck and produces thyroxine, which are essential for our overall health. If it fails, thyroid hormone production will either be insufficient or excessive. Machine learning techniques and data mining are critical in processing large amounts of data, particularly in the health care system, where there has been a massive amount of information and data need to be managed. In our research on thyroid disease, we used machine learning approaches. In our study, we used statistics from patients, a few of which has hyperactive thyroid glands moreover those have hypothyroidisms; therefore, overall algorithms were used. These study aims to divide this disease in few categories like as hypothyroidism, regular and hyperthyroidism. Support vector machine include KNN, naive-bayes, logistic regressions, decision tree, random forest, discriminant function analysis, and multilayer perceptron (MLP). To the thyroi...

Research paper thumbnail of Machine learning application

International journal of health sciences

The Coronavirus which is scientifically named COVID-19. Its strain was found in Wuhan, a city of ... more The Coronavirus which is scientifically named COVID-19. Its strain was found in Wuhan, a city of China, at the end of 2019. After that the case of coronavirus started spreading quickly around the world and has turned it into a huge global pandemic. Now coronavirus has made a huge impact on human lives since the last several years where people are losing their lives, people are losing their jobs. It has a devastating effect on human life already. Since this virus has come as a complete surprise to everyone in 2019 there were not so many detection or screening methods or trained healthcare workers for this medical challenge and the virus being airborne was spreading really very rapidly. It has been found that COVID-19 affects the epithelial cells which are present in the respiratory tract of our body, so we can use X-ray images and various artificial intelligence techniques to detect the virus. We have built a Deep Learning model, and trained over 200 COVID-19 positive X-ray images an...

Research paper thumbnail of Population dynamics of thrips of mung bean (Vigna radiata (L.) Wilczek) during summer 2018

Journal of entomology and zoology studies, 2020

The investigation was carried out at Research Farm of Birsa Agricultural University Kanke, Ranchi... more The investigation was carried out at Research Farm of Birsa Agricultural University Kanke, Ranchi during summer 2018. The mean population of thrips were commenced from third week after sowing and reached to its peak 18.0 thrips/5 plant during 8th week after sowing i.e. 19th standard meteorological week of May, 2018. Thereafter it declined gradually when maximum temperature (39.0 °C), minimum temperature (22.7 °C), relative humidity maximum (84.7%) and minimum (40.9%) and rainfall (5.3mm) were recorded. The thrips population were recorded maximum during flowering to pod filling stage of mung bean. The correlation study indicated that the correlation between thrips population and temperature (maximum and minimum) were exhibited positively significant and non-significantly negatively correlated with maximum relative humidity and also non-significantly correlated with minimum relative humidity. When rainfall was taken in to consideration then population of thrips non-significantly corre...