Towards personalised medicine: subtyping patients using their genomic data
18 December 2020
Department of Information Systems & Analytics
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Faculty
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Feature
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Data Science & Business Analytics
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Healthcare Informatics
Most pundits gazing into the crystal ball will likely shout two words in their prediction of healthcare’s future: precision medicine. Increasingly, there is growing recognition that tailoring treatments based on an individual’s lifestyle, genes, and environmental factors can yield much improved outcomes.
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Lost in masses of clinical data? Help is here
28 January 2020
Department of Information Systems & Analytics
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Faculty
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Research
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Feature
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Data Science & Business Analytics
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Healthcare Informatics
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Intelligent Systems
The intensive care unit where Dr. Jean-Daniel Chiche works in Paris is what you would expect from an ICU. Amidst an atmosphere of respectful quiet and hushed tones lie patients in isolated rooms, often tethered to a bewildering array of tubes, wires, monitors and machines.
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Research breakthroughs presented at ICIS 2019
18 December 2019
Department of Information Systems & Analytics
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Faculty
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Feature
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Data Science & Business Analytics
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Healthcare Informatics
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Computational Social Science
From investigating the probability of losing jobs to artificial intelligence (AI), to the benefits of pop-up ads—here are the recent research breakthroughs by the Department of Information Systems and Analytics, presented at the International Conference on Information Systems (ICIS) 2019.
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Dr. Tan & Prof Teo win Annual Best Paper Meritorious Mention
16 August 2016
Department of Information Systems & Analytics
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Faculty
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Healthcare Informatics
16 August 2016 – Dr. Sharon Tan, Prof Teo Hock Hai and their collaborator Dr. Tong Yu have received the AIS SIGHealth 2016 Annual Best Paper Meritorious Mention for their paper ‘The road to early success: Impact of system use in the swift response phase’.
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