Iram Wajahat

According to our database, Iram Wajahat authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Integrating Machine Learning and Pathway Analysis for Precision Medicine in Type 2 Diabetes: Predictive Modeling and Therapeutic Target Identification.

Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

2024

Accelerating Medical Knowledge Discovery Through Automated Knowledge Graph Generation and Enrichment.

Mutahira Khalid, Raihana Rahman, Asim Abbas, Sushama Kumari, Iram Wajahat, Syed Ahmad Chan Bukhari

Proceedings of the Knowledge Graphs and Semantic Web - 6th International Conference, 2024

Advancing Precision Healthcare Analytics: Machine Learning Approach-es for Diabetes Prognosis using the PIMA Indian Dataset.

Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing.

Asim Abbas, Sebastian Chalarca, Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs).

Fahad Shabbir Ahmed, Liaqat Ali, Raza Ul-Mustafa, Hasan Ali Khattak, Tahir Hameed, Iram Wajahat, Seifedine Kadry, Syed Ahmad Chan Bukhari

J. Ambient Intell. Humaniz. Comput., October, 2023

2022

A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing.

Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

LDA-GA-SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine.

Liaqat Ali, Iram Wajahat, Noorbakhsh Amiri Golilarz, Fazel Keshtkar, Syed Ahmad Chan Bukhari

Neural Comput. Appl., 2021