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The Impact of Big Data on Healthcare Decision Making

Analytics Vidhya

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data.

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How to Implement a Federated Learning Project with Healthcare Data

KDnuggets

Learn about Federated Learning and how you can use it in the healthcare sector.

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Data Science and Analytics in Personalized Healthcare: Progress and Prospects

KDnuggets

Healthcare services are no longer limited to one-size-fits-all approaches applicable to every patient. Accordingly, personalized healthcare aims to provide patients with treatments and medical assistance that are tailored to their unique health status, medical history, and lifestyle: simply put, tailored to their.

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How Machine Learning is Transforming Disease Risk Prediction in Healthcare

KDnuggets

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. Effective predictions allow for early intervention, personalized treatments, and improved outcomes.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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How Natural Language Processing of Unstructured Data is Improving Healthcare Outcomes

KDnuggets

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format.

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The Sprint towards Digital Healthcare

Cloudera

The pandemic changed our healthcare behaviors. As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. In some cases the device automatically uploaded results and pinged a healthcare provider if the measurements indicated an urgent need.

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2021 State of Analytics: Why Users Demand Better

The sample included 1,931 knowledge workers, or end users, from financial services, healthcare, and manufacturing who are familiar with the analytics tools within their applications.