Challenges and opportunities beyond structured data in analysis of electronic health records

M Tayefi, P Ngo, T Chomutare… - Wiley …, 2021 - Wiley Online Library
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …

Introduction to machine learning in digital healthcare epidemiology

JA Roth, M Battegay, F Juchler, JE Vogt… - Infection Control & …, 2018 - cambridge.org
To exploit the full potential of big routine data in healthcare and to efficiently communicate
and collaborate with information technology specialists and data analysts, healthcare …

Improvement of support vector machine algorithm in big data background

B Gaye, D Zhang, A Wulamu - Mathematical Problems in …, 2021 - Wiley Online Library
With the rapid development of the Internet and the rapid development of big data analysis
technology, data mining has played a positive role in promoting industry and academia …

[图书][B] Clinical text mining: Secondary use of electronic patient records

H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Application of machine learning techniques to tuberculosis drug resistance analysis

S Kouchaki, Y Yang, TM Walker, A Sarah Walker… - …, 2019 - academic.oup.com
Abstract Motivation Timely identification of Mycobacterium tuberculosis (MTB) resistance to
existing drugs is vital to decrease mortality and prevent the amplification of existing antibiotic …

[HTML][HTML] Artificial intelligence-based tools to control healthcare associated infections: a systematic review of the literature

A Scardoni, F Balzarini, C Signorelli, F Cabitza… - Journal of infection and …, 2020 - Elsevier
Abstract Background Healthcare-associated infections (HAIs) are the most frequent adverse
events in healthcare and a global public health concern. Surveillance is the foundation for …

[HTML][HTML] PRAISE: providing a roadmap for automated infection surveillance in Europe

MSM van Mourik, SM van Rooden, M Abbas… - Clinical Microbiology …, 2021 - Elsevier
Introduction Healthcare-associated infections (HAI) are among the most common adverse
events of medical care. Surveillance of HAI is a key component of successful infection …

Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China

R Chen, H Yang, G Yang, Y Liu, C Zhang, H Long… - Remote Sensing, 2023 - mdpi.com
Land-use maps are thematic materials reflecting the current situation, geographical diversity,
and classification of land use and are an important scientific foundation that can assist …

A comparative analysis on question classification task based on deep learning approaches

M Zulqarnain, AKZ Alsaedi, R Ghazali… - PeerJ Computer …, 2021 - peerj.com
Question classification is one of the essential tasks for automatic question answering
implementation in natural language processing (NLP). Recently, there have been several …

Predicting nationwide obesity from food sales using machine learning

J Dunstan, M Aguirre, M Bastías, C Nau… - Health informatics …, 2020 - journals.sagepub.com
The obesity epidemic progresses everywhere across the globe, and implementing frequent
nationwide surveys to measure the percentage of obese population is costly. Conversely …