[HTML][HTML] Sustainable and intelligent time-series models for epidemic disease forecasting and analysis
There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm
Technologies like cloud computing, Artificial Intelligence (AI), and Machine intelligence
technologies must combine to accomplish computational intelligence. To deliberate the …
technologies must combine to accomplish computational intelligence. To deliberate the …
Diabetes prediction model using machine learning techniques
Diabetes has emerged as a significant global health concern, contributing to various severe
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
Machine Learning for Depression Detection on Web and Social Media: A Systematic Review
L Gan, Y Guo, T Yang - International Journal on Semantic Web and …, 2024 - igi-global.com
Depression, a significant psychiatric disorder, affects individuals' physical well-being and
daily functioning. This focused analysis provides a comprehensive exploration of …
daily functioning. This focused analysis provides a comprehensive exploration of …
Prognosis of Tissue Stiffness Through Multilayer Perceptron Technique With Adaptive Learning Rate in Minimal Invasive Surgical Procedures
B Behera, MF Orlando… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Flexible needles are navigated through anatomical pathways to reach deep seated tissues
for minimally invasive surgical procedures. During such risky navigation, anatomical …
for minimally invasive surgical procedures. During such risky navigation, anatomical …
[PDF][PDF] Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection.
V Priyadarshni, SK Sharma… - … Materials & Continua, 2024 - cdn.techscience.cn
Breast cancer (BC) is one of the leading causes of death among women worldwide, as it has
emerged as the most commonly diagnosed malignancy in women. Early detection and …
emerged as the most commonly diagnosed malignancy in women. Early detection and …
[PDF][PDF] Secure Transmission of Compressed Medical Image Sequences on Communication Networks Using Motion Vector Watermarking.
Medical imaging plays a key role within modern hospital management systems for
diagnostic purposes. Compression methodologies are extensively employed to mitigate …
diagnostic purposes. Compression methodologies are extensively employed to mitigate …
Revolutionizing Healthcare Systems: Synergistic Multimodal Ensemble Learning & Knowledge Transfer for Lung Cancer Delineation & Taxonomy
Lung cancer presents a substantial global public health concern, underscoring the crucial
role of early detection in enhancing patient prognosis and well-being. This paper presents a …
role of early detection in enhancing patient prognosis and well-being. This paper presents a …
[PDF][PDF] Time Series Database (TSD): A Approach for Time Series Data Management
R SHANMUGAM… - Data Science Insights …, 2022 - insights2techinfo.com
To keep tabs on things throughout time, there is a special kind of database called a time
series database (TSD). In a nutshell, time series data are any observations or occurrences …
series database (TSD). In a nutshell, time series data are any observations or occurrences …
[PDF][PDF] Analysis of Exploratory Data Analysis Tools and Techniques
AK GUPTA - Data Science Insights Magazine …, 2022 - insights2techinfo.com
The practice of doing exploratory analyses on large data sets is commonplace in several
scientific disciplines. It is dependent on sophisticated data processing pipelines and …
scientific disciplines. It is dependent on sophisticated data processing pipelines and …