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Transforming Patient Referrals: Providence Uses Databricks MLflow to Accelerate Automation Across 1,000+ Clinics

databricks

As one of the largest nonprofit health systems in the United States—with 51 hospitals, over 1,000 outpatient clinics, and more than 130,000 caregivers across seven states—our ability to deliver timely, coordinated care depends on transforming not only clinical outcomes but also the workflows that support them.

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Synthetic Data Generation: Balancing Quality, Privacy, and Scale

ProjectPro

It covers various methods, from theoretical to deep learning approaches, and provides practical Python examples. Example A hospital wants to build a machine learning model to predict patient outcomes but faces privacy concerns using real patient data. Let us understand it better with the help of an example.

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Emerging Big Data Trends for 2023

ProjectPro

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. Growing adoption of Artificial Intelligence , growth of IoT applications and increased adoption of machine learning will be the key to success for data-driven organizations in 2017.

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Top 7 RAG Use Cases and Applications to Explore in 2025

ProjectPro

He discusses how a major hospital network integrated RAG into its clinical decision support system. But before we dive into these examples, let's highlight an exceptional use case in healthcare shared by Siddharth Asthana in one of his LinkedIn articles.

Medical 40
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50 Agentic AI Interview Questions and Answers

ProjectPro

Cognitive Engines: Deep learning and machine learning models that enable decision-making, reasoning, and strategy development. Memory Systems: Persistent data structures that allow agents to learn from past interactions. Machine Learning and Deep Learning: Building multiple models that underscore intelligent behavior.

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Top 15 Data Analysis Tools To Become a Data Wizard in 2025

ProjectPro

Integration with machine learning algorithms - the KNIME Analytics Platform can integrate with various open-source initiatives, including H2O, ScikitLearn , and Keras machine learning algorithms. These integrations enable both deep learning and wrappers for invoking code.

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Top 5 Exploratory Data Analysis Python Projects

ProjectPro

It gives an idea of which set of variables will best serve as the input to a machine learning/ deep learning model. Exploring Haberman’s Survival Dataset Haberman’s Survival Dataset consists of data from the research conducted at the University of Chicago's Billings Hospital between 1958 and 1970.