[HTML][HTML] Process mining in healthcare: A literature review
Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …
corporate information systems in order to analyze executed processes. In the healthcare …
Data analytics in healthcare: A tertiary study
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 …
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
Objectives A coordinated collaboration among different healthcare professionals in
Emergency Room (ER) processes is critical to promptly care for patients who arrive at the …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
fields, which calls for special methods for management and extraction of information …