Predictive analytics in health care using machine learning tools and techniques
When we have a huge data set on which we would like to perform predictive analysis or
pattern recognition, machine learning is the way to go. Machine Learning (ML) is the fastest …
pattern recognition, machine learning is the way to go. Machine Learning (ML) is the fastest …
Deep learning for predictive analytics in healthcare
A Muniasamy, S Tabassam, MA Hussain… - … on Advanced Machine …, 2020 - Springer
Despite a recent wealth of data and information, the healthcare sector is lacking in
actionable knowledge. The healthcare industry faces challenges in essential areas like …
actionable knowledge. The healthcare industry faces challenges in essential areas like …
Developing predictive precision medicine models by exploiting real-world data using machine learning methods
PC Theocharopoulos, S Bersimis… - Journal of Applied …, 2024 - Taylor & Francis
Computational Medicine encompasses the application of Statistical Machine Learning and
Artificial Intelligence methods on several traditional medical approaches, including …
Artificial Intelligence methods on several traditional medical approaches, including …
Predictive analytics for cardiovascular disease diagnosis using machine learning techniques
A Muniasamy, V Muniasamy, R Bhatnagar - Advanced Machine Learning …, 2021 - Springer
Medical data can be mined for effective decision making in the presence of disease
analysis. Globally, cardiovascular alias heart disease is one of the highly rated causes of …
analysis. Globally, cardiovascular alias heart disease is one of the highly rated causes of …
Integrating Neural Network-Based Predictive Analytics with IoT for Real-Time Health Monitoring and Responsible Deployment
V Hariharan, K Sivaraman - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The combination of neural network-based predictive analytics is the focus of this study,
which introduces a novel approach to IoT-based real-time health monitoring systems. Using …
which introduces a novel approach to IoT-based real-time health monitoring systems. Using …
Associations between control of glucose, diabetes support services, new insulin initiation and 30 day hospital readmission in diabetes patients
RL Pembridge Jr - 2017 - search.proquest.com
The purpose of this quantitative, correlational research study was to determine what
relationship, if any, existed between readmission within 30 days to one of three hospitals in …
relationship, if any, existed between readmission within 30 days to one of three hospitals in …
Predictive Analytics in Healthcare Using Machine Learning Tools and Techniques
R Shobana, A Ambikapathy, K Hazarika… - … Data Analytics for …, 2021 - taylorfrancis.com
Healthcare is a term that relates to a system that involves advanced strategies to serve the
medical demands of the people. Healthcare organizations of all sizes, types, and specialties …
medical demands of the people. Healthcare organizations of all sizes, types, and specialties …
[PDF][PDF] A DETAILS INVESTIGATION, ANALYSIS AND FORECASTING OF PATTERNS OF INFECTIOUS DISEASES: A SPECIAL INVESTIGATION ON COVID-19
Infectious illness therapy involves early detection of viruses and measures to prevent or cure
them. Internists can not only identify severe illnesses but also microorganisms that are …
them. Internists can not only identify severe illnesses but also microorganisms that are …
Deep Learning for Predictive Analytics in Healthcare
MA Hussain, H Sultana, V Muniasamy… - The International …, 2019 - books.google.com
Despite a recent wealth of data and information, the healthcare sector is lacking in
actionable knowledge. The healthcare industry faces challenges in essential areas like …
actionable knowledge. The healthcare industry faces challenges in essential areas like …