Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
[HTML][HTML] Top data mining tools for the healthcare industry
The healthcare industry has become increasingly challenging, requiring retrieval of
knowledge from large amounts of complex data to find the best treatments. Several works …
knowledge from large amounts of complex data to find the best treatments. Several works …
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …
applied to solve NP-hard problems such as feature selection. However, it and most of its …
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
Our ability to collect “big data” has greatly surpassed our capability to analyze it,
underscoring the emergence of the fourth paradigm of science, which is datadriven …
underscoring the emergence of the fourth paradigm of science, which is datadriven …
Infiagent-dabench: Evaluating agents on data analysis tasks
Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud
The main objective of this paper is to highlight the research directions and explain the main
roles of current Artificial Intelligence (AI)/Machine Learning (ML) frameworks and available …
roles of current Artificial Intelligence (AI)/Machine Learning (ML) frameworks and available …
Early recognition of sepsis with Gaussian process temporal convolutional networks and dynamic time war**
Sepsis is a life-threatening host response to infection that is associated with high mortality,
morbidity, and health costs. Its management is highly time-sensitive because each hour of …
morbidity, and health costs. Its management is highly time-sensitive because each hour of …
A distributed ensemble approach for mining healthcare data under privacy constraints
In recent years, electronic health records (EHRs) have been widely adapted at many
healthcare facilities in an attempt to improve the quality of patient care and increase the …
healthcare facilities in an attempt to improve the quality of patient care and increase the …