Mining electronic health records (EHRs) A survey

P Yadav, M Steinbach, V Kumar, G Simon - ACM Computing Surveys …, 2018 - dl.acm.org
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 …

[HTML][HTML] Top data mining tools for the healthcare industry

J Santos-Pereira, L Gruenwald, J Bernardino - Journal of King Saud …, 2022 - Elsevier
The healthcare industry has become increasingly challenging, requiring retrieval of
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

MH Nadimi-Shahraki, H Zamani, S Mirjalili - Computers in biology and …, 2022 - Elsevier
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 …

Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

A Agrawal, A Choudhary - Apl Materials, 2016 - pubs.aip.org
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 …

Infiagent-dabench: Evaluating agents on data analysis tasks

X Hu, Z Zhao, S Wei, Z Chai, Q Ma, G Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce InfiAgent-DABench, the first benchmark specifically designed to
evaluate LLM-based agents on data analysis tasks. These tasks require agents to end-to …

Semantic health knowledge graph: semantic integration of heterogeneous medical knowledge and services

L Shi, S Li, X Yang, J Qi, G Pan… - BioMed research …, 2017 - Wiley Online Library
With the explosion of healthcare information, there has been a tremendous amount of
heterogeneous textual medical knowledge (TMK), which plays an essential role in …

[HTML][HTML] Patient similarity in prediction models based on health data: a scoping review

A Sharafoddini, JA Dubin, J Lee - JMIR medical informatics, 2017 - medinform.jmir.org
Background: Physicians and health policy makers are required to make predictions during
their decision making in various medical problems. Many advances have been made in …

Early recognition of sepsis with Gaussian process temporal convolutional networks and dynamic time warping

M Moor, M Horn, B Rieck, D Roqueiro… - Machine learning for …, 2019 - proceedings.mlr.press
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 …

A distributed ensemble approach for mining healthcare data under privacy constraints

Y Li, C Bai, CK Reddy - Information sciences, 2016 - Elsevier
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 …

A review of automatic phenotyping approaches using electronic health records

H Alzoubi, R Alzubi, N Ramzan, D West, T Al-Hadhrami… - Electronics, 2019 - mdpi.com
Electronic Health Records (EHR) are a rich repository of valuable clinical information that
exist in primary and secondary care databases. In order to utilize EHRs for medical …