Posts tagged Machine Learning
Was It a Glitch or Human Error? How a Code Made My Hospital Stay Unpayable

Earlier this March, I visited the ER with troubling neurological symptoms. I received treatment and was released without a clear diagnosis. Weeks later, I learned my hospital stay had been coded as non-emergency, and my insurance denied nearly $9,000 in charges.
What followed was a long and frustrating effort to understand the decision — involving calls with hospital billing, ER Department Staff, and insurance reps,. It raised questions not just about how coding is done, but who does it — and whether software or overloaded billing staff may be introducing errors with significant consequences for patients.
I’ve written a detailed account of my experience, supported by medical records, economic data, and recent research on AI in billing and healthcare consolidation. My goal isn’t just to share what happened — it’s to advocate for change.
If you work in health policy, tech, or patient advocacy, I’d welcome your thoughts on how we can build a more transparent and accountable system.

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Keep Analytics, Machine Learning, and Artificial Intelligence to Simple Use-Cases with Collective Vantage

Conaxon takes the reader through a simple sales forecasting project for a retail store. We cover data cleaning (pandas), feature engineering (encoding categorical/cyclical features), building a base GradientBoostedRegressor Model (Sklearn), and hyper-parameter tuning (GridSearchCV, RandomizedSearchCV, KFold).

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Key Struggles with Analytics, Decision Intelligence, and Machine Learning Micro-Business Communities

Conaxon talks about key problems in applying Machine Learning, Artificial Intelligence, Analytics, and Decision Intelligence within Small / Micro Businesses.

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Predict which Sales Leads Close Part 1

Can you predict which leads you might close? We propose a simple project to demonstrate a machine learning use case for optimizing which leads sales teams are predicted to be closed.

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So you want a career in Data Analytics--Here's how we think you can do it FAST!

Charles Elwood, SolisMatica, has me back again with the usual crew to talk careers in analytics and how we think you should approach achieving your goals.

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