A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to ad | Technology ...

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Health Data Science, MSc in Operations Research & ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

Journal of Coastal Research, SPECIAL ISSUE No. 95. An International Forum for the Littoral Sciences (SPRING 2020), pp. 1291-1296 (6 pages) Tsunamis, which are long-period oceanic waves, are known as ...

What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality We trained a Bayesian ML model in 10,318 patients ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients ...