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31 Oct 2024
SERC
Institute for Infocomm Research
Characterization of Telecare Conversations on Lifestyle Management and Their Relation to Health Care Utilization for Patients with Heart Failure: Mixed Methods Study
Mojisola Erdt,
Sakinah Binte Yusof,
Liquan Chai,
Siti Umairah Md Salleh,
Zhengyuan Liu,
Halimah Binte Sarim,
Geok Choo Lim,
Hazel Lim,
Nur Farah Ain Suhaimi,
Lin Yulong,
Yang Guo,
Angela Ng,
Sharon Ong,
Bryan Peide Choo,
Sheldon Lee,
Huang Weiliang,
Hong Choon Oh,
Maria Klara Wolters,
Nancy F Chen,
Pavitra Krishnaswamy
Journal of Medical Internet Research
17 Sep 2024
SERC
Institute for Infocomm Research
A drug mix and dose decision algorithm for individualized type 2 diabetes management
Mila Nambiar,
Yong Mong Bee,
Yu En Chan,
Ivan Ho Mien,
Feri Guretno,
David Carmody,
Phong Ching Lee,
Sing Yi Chia,
Nur Nasyitah Mohamed Salim,
Pavitra Krishnaswamy
npj Digital Medicine
1 Jul 2024
SERC
Institute for Infocomm Research
Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation
Zhengyuan Liu,
Siti Salleh,
Pavitra Krishnaswamy,
Nancy Chen
Proceedings of the 6th Clinical Natural Language Processing Workshop
5 Mar 2024
SERC
Institute for Infocomm Research
An Artificial Intelligence Drug Mix and Dose Advisor Recommends Individualised Treatments for Type 2 Diabetes
Yong Mong Bee,
Mila Nambiar,
Yu En Chan,
Ivan Ho Mien,
Feri Guretno,
David Carmody,
Phong Ching Lee,
Sing Yi Chia,
Nur Nasyitah Mohamed Salim,
Pavitra Krishnaswamy
The Official Journal of ATTD Advanced Techologies & Treatments for Diabetes CONFERENCE 6–9 MARCH 2024 I FLORENCE & ONLINE
10 Dec 2023
SERC
Institute for Infocomm Research
Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations
Zhengyuan Liu,
Siti Umairah Md Salleh,
Hong Choon Oh,
Pavitra Krishnaswamy,
Nancy Chen
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
23 Nov 2023
Others
Diagnostics Development Hub
A Performance Monitoring and Continual Learning Framework to Improve Reliability of Prediction Models based on Electronic Health Records
CAO ZHEN,
Feri Guretno,
JEANETTE POH,
Guo Yang,
Milashini Nambiar,
CHAN YU EN,
WATT PEI YI,
GOPINATHAN ARJUNAN,
BEE YONG MONG,
Pavitra Krishnaswamy,
Savitha Ramasamy
AI Health Summit conference (2023)
23 Nov 2023
SERC
Institute for Infocomm Research
A Semi-Supervised Active Learning Guided Platform for Efficient Medical Image Annotation
Shafa Balaram,
Ashish Jith Sreejith Kumar,
Yang Yu,
Feri Guretno,
Balagopal Unnikrishnan,
Navya Sindhu Vanjavaka,
Nurul Hafidzah Rahim,
Ivan Ho Mien,
Ashraf A. Kassim,
Pavitra Krishnaswamy
AI Health Summit conference (2023)
7 Oct 2023
SERC
Institute for Infocomm Research
A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging
Yang Yu,
Jiahao Wang,
Ashish Jith Sreejith Kumar,
Bryan Tan,
Navya Vanjavaka,
Nurul Hafidzah Rahim,
Alistair Koh,
Shaheen Low,
Yih Yian Sitoh,
Hanry Yu,
Pavitra Krishnaswamy,
Ivan Ho Mien
Medical Image Learning with Limited and Noisy Data
5 Aug 2023
SERC
Institute for Infocomm Research
Integrated Platform for Resource-efficient Medical Image Annotation
Yang Yu,
Ashish Jith Sreejith Kumar,
Feri Guretno,
Shafa Balaram,
Balagopal Unnikrishnan,
Pavitra Krishnaswamy,
Ivan Ho Mien
International Conference on AI in Medicine (iAIM)
4 Aug 2023
SERC
Institute for Infocomm Research
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications
Mila Nambiar,
Supriyo Ghosh,
Priscilla Ong,
Yu En Chan,
Yong Mong Bee,
Pavitra Krishnaswamy
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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