[HTML][HTML] Process mining in healthcare: A literature review

E Rojas, J Munoz-Gama, M Sepúlveda… - Journal of biomedical …, 2016 - Elsevier
Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

Data analytics in healthcare: A tertiary study

T Taipalus, V Isomöttönen, H Erkkilä, S Äyrämö - SN Computer Science, 2022 - Springer
The field of healthcare has seen a rapid increase in the applications of data analytics during
the last decades. By utilizing different data analytic solutions, healthcare areas such as …

[HTML][HTML] Discovering role interaction models in the Emergency Room using Process Mining

C Alvarez, E Rojas, M Arias, J Munoz-Gama… - Journal of biomedical …, 2018 - Elsevier
Objectives A coordinated collaboration among different healthcare professionals in
Emergency Room (ER) processes is critical to promptly care for patients who arrive at the …

A robust multi-objective model for healthcare resource management and location planning during pandemics

L Eriskin, M Karatas, YJ Zheng - Annals of Operations Research, 2024 - Springer
In this study, we consider the problem of healthcare resource management and location
planning problem during the early stages of a pandemic/epidemic under demand …

[HTML][HTML] Use of artificial intelligence in the search for new information through routine laboratory tests: systematic review

G Cardozo, SF Tirloni, AR Pereira Moro… - JMIR Bioinformatics …, 2022 - bioinform.jmir.org
Background In recent decades, the use of artificial intelligence has been widely explored in
health care. Similarly, the amount of data generated in the most varied medical processes …

Improving Prediction Accuracy of “Central Line‐Associated Blood Stream Infections” Using Data Mining Models

AY Noaman, F Nadeem, AHM Ragab… - BioMed research …, 2017 - Wiley Online Library
Prediction of nosocomial infections among patients is an important part of clinical
surveillance programs to enable the related personnel to take preventive actions in …

Efficient clustering algorithms in educational data mining

A Chadha - Handbook of Research on Knowledge Management for …, 2018 - igi-global.com
Higher education institutions are competing for excellence, and in this process, they are
utilizing information technologies to gather relevant information for achieving academic …

A new database for drug discovery through application of data-integration and semantics

OK Ekseth, JC Meyer… - 2018 IEEE 12th …, 2018 - ieeexplore.ieee.org
Biomedical databases are important in drug-discovery. Example applications are: disease-
treatments, investi-gating side-effects of drugs, and identification of similar research-efforts …

7. BÜYÜK VERİ VE VERİ MADENCİLİĞİ

Ş KIRAN - Sağlık Yönetimi Güncel Konular ve Pratik Bilgiler, 2024 - books.google.com
Giriş “Büyük veri” terimi, sadece son birkaç yılda kullanım sıklığının her yıl ikiye
katlanmasıyla yaygın olarak kullanılan bir kelime haline gelmiştir. Bununla birlikte son …

Designing an expert system for prediction of heart attack using fuzzy systems.

V Maihami, A Khormehr, E Rahimi - 2016 - cabidigitallibrary.org
Abstract Background and Aim: Nowadays, there are increasing amounts of data in various
fields, which calls for special methods for management and extraction of information …