Ammar Mohammed
Biographic Data
| ID | 3925026 |
|---|---|
| NAME | Ammar Mohammed |
| GIVEN NAMES | Ammar |
| FAMILY NAME | Mohammed |
| SIGNATURE | MOHAMMED A |
| AFFILIATIONS | Cairo University |
| ORCID | 0000-0002-9390-5399 |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Deep learning for Arabic healthcare
Since the COVID-19 pandemic, healthcare services, particularly remote and automated healthcare consultations, have gained increased attention. Medical bots, which provide medical advice and support, are becoming increasingly popular. They offer numerous benefits, including 24/7 access to medical counseling, reduced appointment wait times by providing quick answers to common questions or concerns, and cost savings associated with fewer visits or t…
An enhanced approach for sentiment analysis based on meta-ensemble deep learning
Sentiment analysis, commonly known as "opinion mining," aims to identify sentiment polarities in opinion texts. Recent years have seen a significant increase in the acceptance of sentiment analysis by academics, businesses, governments, and several other organizations. Numerous deep-learning efforts have been developed to effectively handle more challenging sentiment analysis problems. However, the main difficulty with deep learning approaches is…
Deep learning approaches for Arabic sentiment analysis
Influence of Socioeconomic Status in the Age at Menarche and Duration of Menstrual Bleeding
PURPOSE: The study of the relationship ,between the age at menarche and socioeconomic status in a rural area in Sudan. WORK METHOD: This was a cross-sectional descriptive study conducted in Altadamon and Eldubha areas in the northern state of Sudan during year 2006. It included 182 girls of age between 13 to 18 years in elementary and secondary school. WORK RESULTS: The mean age at menarche for girls in Northern Sudan in this study was 13.93 ± 1.…
Influence of Socioeconomic Status in the Age at Menarche and Duration of Menstrual Bleeding
PURPOSE: The study of the relationship ,between the age at menarche and socioeconomic status in a rural area in Sudan. WORK METHOD: This was a cross-sectional descriptive study conducted in Altadamon and Eldubha areas in the northern state of Sudan during year 2006. It included 182 girls of age between 13 to 18 years in elementary and secondary school. WORK RESULTS: The mean age at menarche for girls in Northern Sudan in this study was 13.93 ± 1.…
Deep learning approaches for Arabic sentiment analysis
Deep learning for Arabic healthcare
Since the COVID-19 pandemic, healthcare services, particularly remote and automated healthcare consultations, have gained increased attention. Medical bots, which provide medical advice and support, are becoming increasingly popular. They offer numerous benefits, including 24/7 access to medical counseling, reduced appointment wait times by providing quick answers to common questions or concerns, and cost savings associated with fewer visits or t…
An enhanced approach for sentiment analysis based on meta-ensemble deep learning
Sentiment analysis, commonly known as "opinion mining," aims to identify sentiment polarities in opinion texts. Recent years have seen a significant increase in the acceptance of sentiment analysis by academics, businesses, governments, and several other organizations. Numerous deep-learning efforts have been developed to effectively handle more challenging sentiment analysis problems. However, the main difficulty with deep learning approaches is…
Artificial Intelligence (3 works) · Computer Science (3 works) · Deep learning (3 works) · Natural language processing (3 works) · Topic Modeling (3 works) · Advanced Text Analysis Techniques (2 works) · Arabic (2 works) · Linguistics (2 works) · Machine learning (2 works) · Sentiment analysis (2 works)