Blog.dataiku.com

Machine Learning Based Fraud Detection Models in Healthcare

WebAccurate fraud detection that moves beyond traditional rules-based systems can equip healthcare organizations with the ability to target their resources where they …

Actived: 5 days ago

URL: https://blog.dataiku.com/machine-learning-applications-for-healthcare-fraud-detection

Get the Bigger Picture With Social Determinants of Health

WebThe challenge to identify and address health disparities tied to social vulnerabilities is by no means a new problem. It’s well known that marginalized …

Category:  Health Go Health

Overcome Data Challenges, Navigate Regulations, & Unlock

WebIn healthcare, outstanding challenges intersect with transformative possibilities when it comes to AI transformation. That said, the integration of AI and an …

Category:  Health Go Health

Healthcare Analytics: Data-Driven Scheduling to Reduce No-Shows

WebWe will then offer an alternative approach to addressing no-show appointments that makes use of predictive analytics. Lastly, we will discuss how this method could be applied to …

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Put Your Data to Work in Health Care

WebQuantified self, population health, patient engagement, telehealth, interoperability… the health care IT industry is buzzing with plenty of opportunities but is …

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Feature Engineering: The Difference Maker for ML Models

WebApplying domain-specific knowledge to the data preparation phase makes data science and machine learning (ML) projects most meaningful. Without specific use case knowledge, …

Category:  Health Go Health

Top 3 Barriers to Entry for AI in Health Care

WebHere are the top barriers to entry for AI in health care. 1. Establishing Trust. Trust in AI systems is a global issue that certainly goes beyond health care — in fact, …

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How to Optimize Hospital Staffing and Improve Patient Care

WebGlobal healthcare today is facing a clinician shortage crisis. Projections indicate that by 2030 demand for health workers will rise to 80 million, but the World …

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Dataiku for Data Scientists: An Overview of Features & Benefits

WebEasy reuse and sharing of code, datasets, and other assets in Dataiku helps teams reduce inefficiencies and inconsistent data handling while simultaneously …

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AI in Pharma: Key Takeaways From MIT Technology Review

WebPatient data augmented by AI can personalize dosages, track side-effects, monitor health metrics, recommend lifestyle changes, and warn of conditions early, says …

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Using Data Science to Monitor Plant Health

WebTo measure the conditions of the plant, we would need a trio of sensors plugged into the Arduino to detect soil moisture, light, temperature, and humidity. We …

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Building a Graph Visualization Tool

WebVis.js is a JavaScript library easy to use, designed to handle large amounts of data, and one of most complete graph visualization libraries. It also has many interactive …

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7 Fundamental Steps to Complete a Data Analytics Project

WebStep 7: Iterate, Iterate, Iterate. The main goal in any business project is to prove its effectiveness as fast as possible to justify, well, your job. The same goes for data …

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Making Neural Networks Smaller for Better Deployment: Solving

WebThere is a clear trend in the data science and machine learning industry on training bigger and bigger models. These models achieve near-human performance, but …

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Insurance Claims Modeling With GLM: A Modern Approach

WebThe Insurance Claims Modeling with GLM solution provides a reusable project to modernize the use and practice of GLM models. With this solution, actuaries, …

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An Introduction to FinOps for Controlling the Cost of AI Projects

WebFinOps is a holistic approach that aims at bridging the cultural gap between teams. From a practical standpoint, you will need accurate cost numbers and allocations …

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Tackling the Cold Start Problem for Recommendation Engines

WebThe cold start problem is a major obstacle to user trust. Since we know that transparency improves user trust, it is critical for recommendation engines to reveal the factors that …

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