Category Archives: Machine Learning

Machine Learning in population health: Creating conditions that ensure good health.

Machine Learning (ML) in healthcare has an affinity for patient-centred care and individual-level predictions. Population health deals with health outcomes in a group of individuals and the outcome distribution in the group. Both individual health and population health are not … Continue reading

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Creating, serializing and deploying a machine learning model for healthcare: Part 2

This is a series on serializing and deploying machine learning pipelines developed using pyspark. Part 1 is here. This is specifically for apache spark and is basically notes to myself. We will be using the Mleap for serializing the model. … Continue reading

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Creating, serializing and deploying a machine learning model for healthcare: Part 1

Machine Learning (ML) and Artificial Intelligence (AI) are the buzzwords lately and it is heartening to find local HSPs scrambling to get on the bandwagon. The emphasis is mostly on creating models which require technical as well as clinical expertise. … Continue reading

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