Multi model implementation on general medicine prediction with quantum neural networks
Medical is the large-scale repository where there is more chances to create a new model in
the zone of prediction. The proposed methodology mentioned in this article speaks about …
the zone of prediction. The proposed methodology mentioned in this article speaks about …
Parkinson's disease prediction using adaptive quantum computing
SR Swarna, A Kumar, P Dixit… - 2021 Third International …, 2021 - ieeexplore.ieee.org
Adaptability is the most generous thing we need to acquire to solve any kind of prediction
model design and implementation. Dementia is the most dangerous disease which will …
model design and implementation. Dementia is the most dangerous disease which will …
Prediction with ML paradigm in Healthcare System
P Jha, T Biswas, U Sagar… - 2021 Second international …, 2021 - ieeexplore.ieee.org
Precise and synchronized research of any health-related issues is important for the
eradication and curing of the illness. But the accurate prediction on the basis of symptoms …
eradication and curing of the illness. But the accurate prediction on the basis of symptoms …
Early prediction of diabetes mellitus using machine learning
G Tripathi, R Kumar - 2020 8th international conference on …, 2020 - ieeexplore.ieee.org
Diabetes mellitus is one of the noxious disease which causes abnormalities of blood
glucose due to the resistance of producing insulin hormone in the body. It affects various …
glucose due to the resistance of producing insulin hormone in the body. It affects various …
Designing disease prediction model using machine learning approach
D Dahiwade, G Patle, E Meshram - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Now-a-days, people face various diseases due to the environmental condition and their
living habits. So the prediction of disease at earlier stage becomes important task. But the …
living habits. So the prediction of disease at earlier stage becomes important task. But the …
Heart disease prediction using deep neural network
P Ramprakash, R Sarumathi, R Mowriya… - 2020 international …, 2020 - ieeexplore.ieee.org
Healthcare occupies an indispensable part in human lives. The healthcare industry contain
large amount of psychiatric data hence machine learning models were used to provide …
large amount of psychiatric data hence machine learning models were used to provide …
A novel approach to predict diabetes by using Naive Bayes classifier
KL Priya, MSCR Kypa, MMS Reddy… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Diabetes can be mentioned as one of the most fatal and constant sicknesses that may cause
a arise in the glucose levels. The main target of this experiment is to analyze the database of …
a arise in the glucose levels. The main target of this experiment is to analyze the database of …
Performance comparison of machine learning models for diabetes prediction
P Cıhan, H Coşkun - 2021 29th Signal Processing and …, 2021 - ieeexplore.ieee.org
Diabetes is a chronic disease that causes blood sugar to rise. This chronic disease can be
cause mortality. There are different diagnoses and treatment methods for diabetes in the …
cause mortality. There are different diagnoses and treatment methods for diabetes in the …
Heart disease prediction using hybrid machine learning model
M Kavitha, G Gnaneswar, R Dinesh… - 2021 6th …, 2021 - ieeexplore.ieee.org
Heart disease causes a significant mortality rate around the world, and it has become a
health threat for many people. Early prediction of heart disease may save many lives; …
health threat for many people. Early prediction of heart disease may save many lives; …
Prediction of pneumonia using big data, deep learning and machine learning techniques
KR Swetha, M Niranjanamurthy… - 2021 6th …, 2021 - ieeexplore.ieee.org
Using big data for prediction analysis along with machine learning or deep learning
techniques or algorithms is one the most active areas of research in order to improve the …
techniques or algorithms is one the most active areas of research in order to improve the …