Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018
The objective of this paper is to present a bibliometric analysis of the applications of Data
Mining (DM) and Machine Learning (ML) techniques in the context of public health from …
Mining (DM) and Machine Learning (ML) techniques in the context of public health from …
An optimized XGBoost method for predicting reservoir porosity using petrophysical logs
S Pan, Z Zheng, Z Guo, H Luo - Journal of Petroleum Science and …, 2022 - Elsevier
To overcome the deficiencies of current porosity prediction methods, the XGBoost algorithm
is introduced to construct a model for porosity prediction, and the obtained model is …
is introduced to construct a model for porosity prediction, and the obtained model is …
[HTML][HTML] Ethical considerations and methodological uses of Facebook data in public health research: A systematic review
HS Lathan, A Kwan, C Takats, JP Tanner… - Social Science & …, 2023 - Elsevier
Objective Since 2016, around seven in 10 adults in the United States (US) actively use
Facebook. While much Facebook data is publicly available for research, many users may …
Facebook. While much Facebook data is publicly available for research, many users may …
[HTML][HTML] Social media toxicity classification using deep learning: real-world application UK brexit
Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
Emotional sentiment analysis of social media content for mental health safety
F Benrouba, R Boudour - Social Network Analysis and Mining, 2023 - Springer
Text sentiment analysis is mostly used for the assessment of the author's mood depending
on the context. The purpose of sentiment analysis is to discover the exactness of the …
on the context. The purpose of sentiment analysis is to discover the exactness of the …
[HTML][HTML] Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users' comments
Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …
spread of fake news on social networks has become a serious global issue, damaging many …
[HTML][HTML] Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm
Integrating Internet technologies with traditional healthcare systems has enabled the
emergence of cloud healthcare systems. These systems aim to optimize the balance …
emergence of cloud healthcare systems. These systems aim to optimize the balance …
Deep learning for multi-class identification from domestic violence online posts
S Subramani, S Michalska, H Wang, J Du… - IEEE …, 2019 - ieeexplore.ieee.org
Domestic violence (DV) is not only a major health and welfare issue but also a violation of
human rights. In recent years, domestic violence crisis support (DVCS) groups active on …
human rights. In recent years, domestic violence crisis support (DVCS) groups active on …
[PDF][PDF] Fine-tuned BERT Model for Multi-Label Tweets Classification.
In this paper, we describe our approach to classify disaster-related tweets into multilabel
information types (ie, labels). We aim to filter first relevant tweets during disasters. Then, we …
information types (ie, labels). We aim to filter first relevant tweets during disasters. Then, we …
From networking to mitigation: the role of social media and analytics in combating the COVID-19 pandemic
Due to quarantine and social distancing, people are attached to and rely on social media
more than ever before. The main goal of this paper is to highlight several important areas of …
more than ever before. The main goal of this paper is to highlight several important areas of …