Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …
domain of health care, there is a rapid development of intelligent systems for analyzing …
Recent advances in machine learning for diagnosis of lung disease: A broad view
R Kumar, S Jain - 2022 IEEE Delhi Section Conference …, 2022 - ieeexplore.ieee.org
Human lung diseases have received a lot of attention recently, because any obstruction in
the proper functioning of the lungs can prevent a person from breathing. 1 As a result …
the proper functioning of the lungs can prevent a person from breathing. 1 As a result …
[HTML][HTML] Comparison of linear, penalized linear and machine learning models predicting hospital visit costs from chronic disease in Thailand
W Thongpeth, A Lim, A Wongpairin… - Informatics in Medicine …, 2021 - Elsevier
Generally, health care costs from chronic diseases have positive skew and this gives
problems on using traditional statistical models. Machine learning is a conventional method …
problems on using traditional statistical models. Machine learning is a conventional method …
Applications of machine learning in healthcare
Abstract Machine learning has transformed the world by giving it a wide variety of
applications in the field of manufacturing, and now it has proved itself in the field of …
applications in the field of manufacturing, and now it has proved itself in the field of …
Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis
S Ahamed Fayaz, L Babu, L Paridayal, M Vasantha… - PloS one, 2024 - journals.plos.org
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness
caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world …
caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world …
Multilevel Ensemble Method to Identify Risks in Chronic Kidney Disease Using Hybrid Synthetic Data
K Shouryadhar, PK Rao… - 2022 13th International …, 2022 - ieeexplore.ieee.org
This research was conducted with the goals of developing models that have an accurate
classification of chronic kidney disease (CKD) and locating significant prognostic factors …
classification of chronic kidney disease (CKD) and locating significant prognostic factors …
Satellite Imagery Used for Analysis of Soil Properties
K Ennouri, M Ennouri, MA Triki - … and GIS for Spatial Analysis and …, 2024 - books.google.com
The integration of remote sensing technology in soil analysis represents a monumental leap
in agricultural sciences. By harnessing the power of satellite imagery, scientists can now …
in agricultural sciences. By harnessing the power of satellite imagery, scientists can now …
TabNet to Identify Risks in Chronic Kidney Disease Using GAN's Synthetic Data
PK Rao, S Chatterjee - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
The objective of this study was to develop a system for chronic kidney disease (CKD) and to
identify relevant prognostic features using a clinical dataset. Accurate classification and …
identify relevant prognostic features using a clinical dataset. Accurate classification and …
Monitoring Body Mass Index (BMI) Pre & Post Covid-19 Outbreak: A Comprehensive study in Healthcare
PR Ahire, KU Priya - 2024 MIT Art, Design and Technology …, 2024 - ieeexplore.ieee.org
A comprehensive health monitoring & analyzing system that provides personalized
recommendations, goal setting, and tracking based on relevant factors related to BMI & …
recommendations, goal setting, and tracking based on relevant factors related to BMI & …
Machine and Deep Learning Algorithms for Healthcare Applications
K France, A Jaya, D Tiliute - Handbook of Intelligent Healthcare …, 2022 - Wiley Online Library
In the healthcare system, medical images are playing a vital role to identify the symptoms of
early diseases by using image patterns. In the past few decades, because of increasing …
early diseases by using image patterns. In the past few decades, because of increasing …