[HTML][HTML] Development of data-driven machine learning models and their potential role in predicting dengue outbreak

B Mazhar, NM Ali, F Manzoor, MK Khan… - Journal of Vector …, 2024 - journals.lww.com
Dengue fever is one of the most widespread vector-borne viral infections in the world,
resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are …

[PDF][PDF] Naive-Bayes family for sentiment analysis during COVID-19 pandemic and classification tweets

MB Ressan, RF Hassan - Indonesian Journal of Electrical …, 2022 - researchgate.net
This paper proposes a system to analyze the sentiments of tweeters. It is to build an accurate
model to detect different emotions in a tweet. The analysis takes place through several …

Disease outbreak prediction using natural language processing: a review

AS Gautam, Z Raza - Knowledge and Information Systems, 2024 - Springer
Research on disease outbreak prediction has suddenly received an enormous interest
owing to the COVID-19 pandemic. Natural language processing using user-generated text …

[PDF][PDF] Machine learning approaches for dengue prediction: A review of algorithms and applications

Z Hussain, IA KHAN, M HASSAN - Pak. Geogr. Rev., 2023 - pu.edu.pk
Dengue disease positions a significant global public health challenge, warranting attention
from local health authorities and the international community. The escalating number of …

Machine Learning Techniques for Disease Prediction

N Potnis, B Tiple - ITM Web of Conferences, 2023 - itm-conferences.org
Epidemic disease prediction is a critical area of research that has garnered increasing
attention in recent years, particularly in the wake of the COVID-19 pandemic. One promising …

Predicting COVID-19 Related Tweets Using Ensemble of Transformers Models

Q Ismail, M Massadeh, QB Baker - 2022 IEEE/ACS 19th …, 2022 - ieeexplore.ieee.org
In the past few years, COVID-19 has been consid-ered one of the most dangerous
pandemics in several countries. There is a lot of information circulating on social media …

Nowcasting Influenza-Like Illness (ILI) via a Stacking-Based Ensemble Approach

X Wang, J Luo, Z Cao, X Du… - Fuzzy Systems and Data …, 2022 - ebooks.iospress.nl
Monitoring influenza activity can facilitate developing prevention strategies and optimizing
public health resource allocation in an effective manner. Traditional influenza surveillance …