Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleAugust 2021
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer
- Md Jakir Hossain,
- Utpala Nanda Chowdhury,
- M. Babul Islam,
- Shahadat Uddin,
- Mohammad Boshir Ahmed,
- Julian M.W. Quinn,
- Mohammad Ali Moni
Computers in Biology and Medicine (CBIM), Volume 135, Issue Chttps://doi.org/10.1016/j.compbiomed.2021.104539AbstractColorectal cancer (CRC) is one of the most common and lethal malignant lesions. Determining how the identified risk factors drive the formation and development of CRC could be an essential means for effective therapeutic development. Aiming this, ...
- research-articleFebruary 2021
Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement
PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for HealthcarePages 211–222https://doi.org/10.1145/3421937.3421992Heavy alcohol consumption can lead to many severe consequences. In this paper, we study the phenomenon of heavy drinking at night (4+ drinks for women or 5+ for men on a single evening), using a smartphone sensing dataset depicting about nightlife and ...
- research-articleMay 2020
Design and assessment of a personal breathalyzer intervention to support responsible drinking
International Journal of Human-Computer Studies (IJHC), Volume 137, Issue Chttps://doi.org/10.1016/j.ijhcs.2019.102382Highlights- Students enjoy using breathalyzers to monitor their health and safety.
- Students ...
This study explores current drinking practices and attitudes of college students and design opportunities for encouraging safe and responsible drinking behaviors in this population. With 86 participants in total, we conducted surveys, ...
- research-articleMay 2019
#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram
PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for HealthcarePages 71–80https://doi.org/10.1145/3329189.3329193The understanding of alcohol consumption patterns, especially those indicating negative drinking behavior, is an important issue to researchers and health policymakers. On social media, people share daily activities, including alcohol consumption, ...
- research-articleAugust 2017
Developing smartphone apps for behavioural studies
Journal of Biomedical Informatics (JOBI), Volume 72, Issue CPages 108–119https://doi.org/10.1016/j.jbi.2017.07.007Display Omitted Smartphone apps can observe health behaviours to inform policies and interventions.Ecological Momentary Assessment theory can guide designing such smartphone apps.The AlcoRisk app for observing alcohol consumption and risk taking was ...
- research-articleJune 2017
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 1, Issue 2Article No.: 5, Pages 1–36https://doi.org/10.1145/3090051Alcohol use in young adults is common, with high rates of morbidity and mortality largely due to periodic, heavy drinking episodes (HDEs). Behavioral interventions delivered through electronic communication modalities (e.g., text messaging) can reduce ...
- articleOctober 2010
Alcohol consumption in Spain and its economic cost: A mathematical modeling approach
Mathematical and Computer Modelling: An International Journal (MATHCM), Volume 52, Issue 7-8Pages 999–1003https://doi.org/10.1016/j.mcm.2010.02.029In this paper, a mathematical model for alcohol consumption in Spanish population is proposed. Its parameters are estimated by fitting the model to real data from Spanish Ministry of Health. Predictions about the future behavior of the alcohol ...