Mohd Abdul Ahad
Biographic Data
| ID | 4486303 |
|---|---|
| NAME | Mohd Abdul Ahad |
| GIVEN NAMES | Mohd Abdul |
| FAMILY NAME | Ahad |
| SIGNATURE | AHAD M A |
| AFFILIATIONS | Jamia Hamdard |
| ORCID | 0000-0002-3880-3680 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Comparative Analysis for Machine Learning-Based Diabetes Mellitus Detection
Diabetes Mellitus (DM) is a persistent metabolic ailment that impacts millions worldwide and results in severe health problems, including cardiovascular diseases, renal failure, and neuropathy. Timely identification and ongoing surveillance are crucial for the efficient management of diabetes and the avoidance of complications. Machine learning (ML) offers an innovative approach to disease detection, enabling the analysis of large healthcare data…
Deep Learning Based Predictive Analytics Using Electronic Health Records: Current Applications, Implementation Challenges, and Future Directions
The increasing digitization of healthcare systems has led to the widespread adoption of Electronic Health Records (EHRs), offering a vast and rich source of longitudinal patient data. In recent years, the emergence of deep learning techniques has significantly enhanced the capacity for predictive modelling using such data. Deep learning models have demonstrated superior performance in capturing complex, non-linear relationships across diverse cli…
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
The book discuss the role of enabling technologies in effective management of smart cities to make them a better abode for the inhabitants.
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
Enabling technologies and sustainable smart cities
No prominent works on this page.
Enabling technologies and sustainable smart cities
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
The book discuss the role of enabling technologies in effective management of smart cities to make them a better abode for the inhabitants.
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
A Comparative Analysis for Machine Learning-Based Diabetes Mellitus Detection
Diabetes Mellitus (DM) is a persistent metabolic ailment that impacts millions worldwide and results in severe health problems, including cardiovascular diseases, renal failure, and neuropathy. Timely identification and ongoing surveillance are crucial for the efficient management of diabetes and the avoidance of complications. Machine learning (ML) offers an innovative approach to disease detection, enabling the analysis of large healthcare data…
Deep Learning Based Predictive Analytics Using Electronic Health Records: Current Applications, Implementation Challenges, and Future Directions
The increasing digitization of healthcare systems has led to the widespread adoption of Electronic Health Records (EHRs), offering a vast and rich source of longitudinal patient data. In recent years, the emergence of deep learning techniques has significantly enhanced the capacity for predictive modelling using such data. Deep learning models have demonstrated superior performance in capturing complex, non-linear relationships across diverse cli…
Computer Science (4 works) · Artificial Intelligence in Healthcare (2 works) · Business (2 works) · Engineering (2 works) · Smart Cities and Technologies (2 works) · AI in cancer detection (1 works) · Analytics (1 works) · Architectural engineering (1 works) · Artificial Intelligence (1 works) · Computer security (1 works)