Researcher issues and future directions in healthcare using IoT and machine learning
S Chauhan, R Arora, N Arora - Smart Healthcare Monitoring …, 2021 - api.taylorfrancis.com
The utmost requirement of life is medical care as it is the support and improvement of
wellbeing. Any deformity that occurred inside the body that is not visible can be determined …
wellbeing. Any deformity that occurred inside the body that is not visible can be determined …
[PDF][PDF] Diabetes disease detection through data mining techniques
In this study, we proposed a high precision diagnostic analysis by using k-means clustering
technique. In the first stage, noisy, uncertain and inconsistent data was detected and …
technique. In the first stage, noisy, uncertain and inconsistent data was detected and …
Designing a clinical education tracking system: an innovative approach
In clinical education, there is a need for constant evaluation, assessment, and at times
immediate feedback for students to recognize areas of success, learning, and areas for …
immediate feedback for students to recognize areas of success, learning, and areas for …
Data mining algorithm for cloud network information based on artificial intelligence decision mechanism
Y Huang, Z Cheng, Q Zhou, Y **ang, R Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the rapid development of information technology and network technology, there is a
lot of data, but the phenomenon of lack of knowledge is becoming more and more serious …
lot of data, but the phenomenon of lack of knowledge is becoming more and more serious …
Impact of business intelligence-enabled processes on banks' performance in India
S Dhingra, K Chaudhry - International Journal of Business …, 2022 - inderscienceonline.com
The implementation of business intelligence (BI) in the banking industry is the key to the
success of making the vital business processes effective and efficient. The study aims to …
success of making the vital business processes effective and efficient. The study aims to …
[PDF][PDF] The future of internet of things for anomalies detection using thermography
----------------------------------------------------------------------ABSTRACT----------------------------------------
--------------------Abnormal temperature of human body is a natural extensive indicator of …
--------------------Abnormal temperature of human body is a natural extensive indicator of …
[PDF][PDF] Analysis of Hospital Length of Stay in Each Diagnostic-Related Groups (DRGs) Carried Out Using the Smart Hospital Research Application
JS Kozera, M Pikala, M Burzyńska - Journal of Health Study and …, 2024 - sciendo.com
Background: The application of business intelligence (BI) tools in hospitals can enhance the
quality and efficiency of care by providing insights into diagnostic, therapeutic, and business …
quality and efficiency of care by providing insights into diagnostic, therapeutic, and business …
The Effect of Pre-and Post-marketing Safety Data on COVID-19 Vaccine Hesitancy among American Adults
J McTague - 2022 - search.proquest.com
Vaccine hesitancy ranks among one of the top barriers to controlling the COVID-19
pandemic within the United States. Motivated by such a threat, this quantitative experimental …
pandemic within the United States. Motivated by such a threat, this quantitative experimental …
[PDF][PDF] Business Intelligence (BI) Significant Role in Electronic Health Records-Cancer Surgeries Prediction: Case Study
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--------------------Medical datasets reflect a great environment as they integrate analyses of …
--------------------Medical datasets reflect a great environment as they integrate analyses of …
[PDF][PDF] Applying Data Mining Techniques for Predicting Diseases
BA Sayed, M Nasr - International Journal of Advanced Networking …, 2019 - researchgate.net
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--------------------The techniques of data mining are very popular of Diseases. The …
--------------------The techniques of data mining are very popular of Diseases. The …