Bilde av Hussain, Musarrat
Bilde av Hussain, Musarrat
Postdoctoral Research Fellow Department of Computer Science musarrat.hussain@uit.no +47 92 92 68 60

Musarrat Hussain


Job description

My research interest lies at the intersection of Natural Language Processing (NLP), Large Language Models (LLMs), and Prompt Engineering, with a specific focus on healthcare applications. I am particularly fascinated by the potential of LLMs to transform healthcare data management, patient interaction, and clinical decision-making. My goal is to develop innovative NLP methodologies and prompt engineering techniques that enhance the accuracy and efficiency of LLMs in interpreting and generating medical language. This involves tailoring LLMs to understand and produce contextually appropriate responses in medical consultations, manage electronic health records with higher precision, and assist in predictive diagnostics. By advancing these areas, I aim to contribute to more personalized and responsive healthcare solutions that leverage the full capabilities of cutting-edge AI technology.


  • Minjae Yoon, Taeho Hur, Sung-Ji Park, Sang-Ho Jo, Eung Ju Kim, Soo-Joong Kim et al.:
    Self-Monitoring of Blood Pressure and Feedback via Mobile App in Treatment of Uncontrolled Hypertension: the SMART-BP Randomized Clinical Trial
    Mayo Clinic proceedings 2025 DOI
  • Per Niklas Benzler Waaler, Musarrat Hussain, Igor Molchanov, Lars Ailo Bongo, Brita Elvevåg :
    Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
    JMIR AI 2025 DOI
  • Tri D.T. Nguyen, Ubaid Ur Rehman, Musarrat Hussain, Rao Faizan, Jamil Hussain, Sung-Ho Bae et al.:
    Unified link prediction modeling for enhanced knowledge graph completion task
    Expert Systems With Applications 2025 DOI
  • Minjae Yoon, Ji Hyun Lee, In-Cheol Kim, Ju-Hee Lee, Mi-Na Kim, Hack-Lyoung Kim et al.:
    Smartphone App for Improving Self-Awareness of Adherence to Edoxaban Treatment in Patients With Atrial Fibrillation (ADHERE-App Trial): Randomized Controlled Trial
    Journal of Medical Internet Research (JMIR) 2024 ARKIV / DOI
  • Musarrat Hussain, Ubaid Ur Rehman, Tri D.T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae et al.:
    Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models
    IEEE conference proceedings 2024 DOI

  • The 50 latest publications is shown on this page. See all publications in Cristin here →

    Publications outside Cristin

    • Yoon, Minjae, Jin Joo Park, Taeho Hur, Cam-Hao Hua, Musarrat Hussain, Sungyoung Lee, and Dong-Ju Choi. "Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future." International Journal of Heart Failure 6, no. 1 (2024): 11.
    • Hussain, Musarrat, Ubaid Ur Rehman, Tri DT Nguyen, and Sungyoung Lee. "CoT-STS: A Zero Shot Chain-of-Thought Prompting for Semantic Textual Similarity." In 2023 6th Artificial Intelligence and Cloud Computing Conference (AICCC), pp. 135-139. 2023.
    • Satti, Fahad Ahmed, Musarrat Hussain, Syed Imran Ali, Misha Saleem, Husnain Ali, Tae Choong Chung, and Sungyoung Lee. "A semantic sequence similarity based approach for extracting medical entities from clinical conversations." Information Processing & Management 60, no. 2 (2023): 103213.
    • Hussain, Musarrat, Fahad Ahmed Satti, Syed Imran Ali, Jamil Hussain, Taqdir Ali, Hun-Sung Kim, Kun-Ho Yoon, TaeChoong Chung, and Sungyoung Lee. "Intelligent knowledge consolidation: from data to wisdom." Knowledge-Based Systems 234 (2021): 107578.
    • Hussain, Musarrat, Fahad Ahmed Satti, Jamil Hussain, Taqdir Ali, Syed Imran Ali, Hafiz Syed Muhammad Bilal, Gwang Hoon Park, Sungyoung Lee, and TaeChoong Chung. "A practical approach towards causality mining in clinical text using active transfer learning." Journal of Biomedical Informatics 123 (2021): 103932.
    • Satti, Fahad Ahmed, Musarrat Hussain, Jamil Hussain, Syed Imran Ali, Taqdir Ali, Hafiz Syed Muhammad Bilal, Taechoong Chung, and Sungyoung Lee. "Unsupervised semantic mapping for healthcare data storage schema." IEEE Access 9 (2021): 107267-107278.

      List of Publications


    Research interests

    • Natural Language Processing
    • Large Language Models
    • Prompt Engineering
    • AI Applications in Healthcare

    Teaching

    PhD Computer Engineering, Kyung Hee Univeirsty, South Korea