Information retrieval and text mining technologies for chemistry
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 …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Multimedia big data analytics: A survey
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 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
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 …
in the academic sphere, reflected in the exponentially growing scientific literature. While the …
Big data analytics for genomic medicine
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …
Merging data curation and machine learning to improve nanomedicines
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 …
and in vivo properties requires tremendous benchwork. To expedite the nanomedicine …
Automatic text summarization of biomedical text data: a systematic review
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 …
many sources. In the biomedical domain, text information has also evidenced this …
Big data machine learning using apache spark MLlib
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 …
research community to turn a variety of diverse and even heterogeneous data sources into …
Deep learning in multimedia healthcare applications: a review
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 …
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 …
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 …
the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department …