Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer
In the present study, multivariate analysis demonstrated predictive factors for FN, including age, staging, and taxane-based regimen. The lymphocyte count 5 days after chemotherapy was also a strong predictive factor for FN. Based on these findings, logistic regression showed an AUC of 0.870 for validation. Source: Machine learning improves the prediction of febrile neutropenia in Korean […]
How can enterprises harness the vast sources of non-digital data from unstructured documents like claims, receipts, invoices and scanned paper forms? In a quest to decode what keeps the world moving, enterprises across the world are baffled. Source: Cognitive AI and the Power of Intelligent Data Digitalization
Top Artificial Intelligence Trends to Watch Out this Year Artificial Intelligence (AI) was invented several decades ago. In the past, many people associated AI with robots. But, it plays a crucial role in our lives now. Personal gadgets, media streaming gadgets, smart cars, and home appliances use artificial intelligence. Source: Artificial Intelligence Trends in 2020
Data science is shifting towards a new paradigm where machines can be taught to learn from data to derive conclusive intelligent insights. Artificial Intelligence is a disruptive technology that collates the intelligence displayed by machines mimicking human intelligence. Source: Why is Data Science, AI and ML key to Lead Digital Transformation?
By University of Chicago Pritzker School of Molecular Engineering July 30, 2020 Comments A team lead by researchers in the Pritzker School of Molecular Engineering at the University of Chicago has developed an artificial intelligence-led process that uses big data to design new proteins. Source: Machine Learning Reveals Recipe for Building Artificial Proteins