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Cancer and statistics

FlowingData

Hannah Fry works with statistics and risk, but her perspective changed when she was diagnosed with cancer. When she’s diagnosed with cervical cancer at the age of 36, she starts to interrogate the way we diagnose and treat cancer by digging into the statistics to ask whether we are making the right choices in how we treat this disease.

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. With her as my medical consultant, we teamed up for the WIDS Hackathon to contribute to the fight against aggressive delays in cancer care. Author(s): Juliusnyambok Originally published on Towards AI. Figure 2: A quick look at the data.

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Discover your potential: 5 Data Science projects to help you stand out as a Python student

Data Science Dojo

In this blog post, we’ll explore five project ideas that can help you build expertise in computer vision, natural language processing (NLP), sales forecasting, cancer detection, and predictive maintenance using Python.

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New AI Program Could Revolutionize Breast Cancer Screening to Make it More Accessible & Affordable

ODSC - Open Data Science

In a new report from The New York Times, a team of researchers has made a major breakthrough in the detection of breast cancer using an artificial intelligence program in Hungary. When breast cancer is caught in its earliest stages, treatment is not only less invasive but is less costly overall.

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Egger Mielberg: Not all neural networks that are now being positioned as artificial intelligence are actually so

Dataconomy

Artificial intelligence has become perhaps one of the most discussed topics these days. Unfortunately, existing diagnostic methods show only 60% accuracy in detecting certain cancers. Cybersecurity and privacy is always a hot topic. How would you characterize AI and its key features? This percentage is incredibly low.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

sleep 10 Create Kafka topics – for training and testing data: ! bin/kafka-topics.sh --create --bootstrap-server 127.0.0.1 : 9092 --replication-factor 1 --partitions 1 --topic cancer-train ! split( "n" )[ 1 :])) Time to push the data to the Kafka topics we created earlier. kafka_2.13 -3.3.2 /bin/kafka-topics.sh

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Simplifying the Image Classification Workflow with Lightning & Comet ML

Heartbeat

Lastly, we’ll create a cancer detection app with Gradio. After finishing our project, this app will look like this: Cancer Detection App (Video by Author) Here are the topics we’ll cover in this blog: What are PyTorch-Lightning & Comet ML? The dataset we’re going to use is the histopathologic cancer detection dataset.

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