Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Multimedia big data analytics: A survey

S Pouyanfar, Y Yang, SC Chen, ML Shyu… - ACM computing surveys …, 2018 - dl.acm.org
With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

A bibliometric analysis of COVID-19 across science and social science research landscape

A Aristovnik, D Ravšelj, L Umek - Sustainability, 2020 - mdpi.com
The lack of knowledge about the COVID-19 pandemic has encouraged extensive research
in the academic sphere, reflected in the exponentially growing scientific literature. While the …

Big data analytics for genomic medicine

KY He, D Ge, MM He - International journal of molecular sciences, 2017 - mdpi.com
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …

Merging data curation and machine learning to improve nanomedicines

C Chen, Z Yaari, E Apfelbaum, P Grodzinski… - Advanced drug delivery …, 2022 - Elsevier
Nanomedicine design is often a trial-and-error process, and the optimization of formulations
and in vivo properties requires tremendous benchwork. To expedite the nanomedicine …

Automatic text summarization of biomedical text data: a systematic review

A Chaves, C Kesiku, B Garcia-Zapirain - Information, 2022 - mdpi.com
In recent years, the evolution of technology has led to an increase in text data obtained from
many sources. In the biomedical domain, text information has also evidenced this …

Big data machine learning using apache spark MLlib

M Assefi, E Behravesh, G Liu… - 2017 ieee international …, 2017 - ieeexplore.ieee.org
Artificial intelligence, and particularly machine learning, has been used in many ways by the
research community to turn a variety of diverse and even heterogeneous data sources into …

Deep learning in multimedia healthcare applications: a review

DP Tobon, MS Hossain, G Muhammad, J Bilbao… - Multimedia …, 2022 - Springer
The increase in chronic diseases has affected the countries' health system and economy.
With the recent COVID-19 virus, humanity has experienced a great challenge, which has led …

Large scale data analysis using MLlib

AH Ali, MN Abbod, MK Khaleel… - Telkomnika …, 2021 - telkomnika.uad.ac.id
Recent advancements in the internet, social media, and internet of things (IoT) devices have
significantly increased the amount of data generated in a variety of formats. The data must …

Artificial intelligence: bayesian versus heuristic method for diagnostic decision support

PL Elkin, DR Schlegel, M Anderson… - Applied clinical …, 2018 - thieme-connect.com
Evoking strength is one of the important contributions of the field of Biomedical Informatics to
the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department …