- Maternal and Perinatal Health Interventions
- Preterm Birth and Chorioamnionitis
- Olfactory and Sensory Function Studies
- Global Maternal and Child Health
- Trauma and Emergency Care Studies
- Biochemical Analysis and Sensing Techniques
- Consumer Behavior in Brand Consumption and Identification
- Spam and Phishing Detection
- Consumer Attitudes and Food Labeling
- Advanced Chemical Sensor Technologies
- Privacy-Preserving Technologies in Data
- Neonatal and fetal brain pathology
- Digital Marketing and Social Media
- Sentiment Analysis and Opinion Mining
- Maternal Mental Health During Pregnancy and Postpartum
- Traumatic Brain Injury and Neurovascular Disturbances
- Machine Learning in Healthcare
- Intensive Care Unit Cognitive Disorders
- Sepsis Diagnosis and Treatment
- Misinformation and Its Impacts
- Maternal and fetal healthcare
- Advanced Malware Detection Techniques
University of Wollongong in Dubai
2024
Zayed University
2022-2024
Bridge University
2024
Qatar Airways (Qatar)
2020
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in public platform. This great potential is misused by creation bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from has become pressing issue researchers. In this paper, we propose framework based on deep learning to classify as either 'human' or 'bot.' We use information user profile metadata...
Recent works have shown that applying Machine Learning to Electronic Health Records (EHR) can strongly accelerate precision medicine. This requires developing models based on diverse EHR sources. Federated (FL) has enabled predictive modeling using distributed training which lifted the need of sharing data and compromising privacy. Since are in FL, it is attractive devise ensembles Deep Neural Networks also assess model uncertainty. We propose a new FL called Uncertainty-Aware Algorithm...
Food processing greatly contributed to increased food safety, diversity, and accessibility. However, the prevalence of highly palatable processed in our modern diet has exacerbated obesity rates a global health crisis. While accumulating evidence suggests that chronic consumption such foods is detrimental sensory neural physiology, it unclear whether its short-term intake adverse effects. We assessed how (<2 months) three diets varying composition macronutrient content influence olfaction...
Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase risk of preterm is an important step in direction mitigating impact reducing frequency occurrence deliveries. The purpose this work to identify delivery their progression throughout pregnancy from a large collection Electronic Health Records (EHR).The study cohort includes about 60,000 USA with complete medical history EHR for diagnoses, medications...
<title>Abstract</title> Social networking sites provide a platform for individuals to express their opinions publicly. Brand managers actively use these platforms gain insights into brand perceptions, as users often share views on products and services. In this study, we sentiment analysis assess customer towards five leading automobile brands, analyzing text content shared Twitter. The research models the 'Brand Polarity Score', which indicates whether customers perceive positively or...
In this paper we are interested in the prediction of preterm birth based on diagnosis codes from longitudinal EHR. We formulate problem as a supervised classification with noisy labels. Our base classifier is Recurrent Neural Network an attention mechanism. assume availability data subset both and clean For cohort definition, most mothers' records related to pregnancy ambiguous for definition full-term classes. On other hand, babies' provide fine-grained information prematurity. Due...
Abstract Background : Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase risk of preterm is an important step in direction mitigating impact reducing frequency occurrence deliveries. The purpose this work to identify delivery their progression throughout pregnancy from a large collection Electronic Health Records (EHR). Results study cohort includes more than 60,000 USA with complete medical history EHR...
ABSTRACT The prevalence of highly-palatable, ultra-processed food in our modern diet has exacerbated obesity rates and contributed to a global health crisis. While accumulating evidence suggests that chronic consumption semi-synthetic is detrimental sensory neural physiology, it unclear whether its short-term intake adverse effects. Here, we assessed how (<2 months) three diets (one grain-based diet, two semi-synthetic) influence olfaction brain metabolism mice. Our results demonstrate...