article thumbnail

Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

article thumbnail

Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AWS Machine Learning

AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures. You have permissions to create and deploy AWS CDK and AWS CloudFormation resources as defined in the scripts outlined in the post. AWS CDK scripts. Studio construct file. The AWS CDK is installed.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning

Construct the inference request as a JSON payload and use it to query the endpoints for the pre-trained and fine-tuned models. About the authors Dr. Adewale Akinfaderin is a Senior Data Scientist in Healthcare and Life Sciences at AWS. Compute the aggregated ROUGE scores (ROUGE1, ROUGE2, ROUGEL, ROUGELsum) as described earlier.

article thumbnail

Telemarketing Appointment Setting Best Practices-Part 3

Quality Contact Solutions

In Part 2 , we discussed how to write an effective script that delivers a powerful nutshell message with a clear WIIFM (What’s in it for me?). One of our good segments is construction. The NAICS code for construction starts with 23. By narrowing down to the type of construction, we can get better results.

article thumbnail

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 73
article thumbnail

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. default_bucket() upload _path = f"training data/fhe train.csv" boto3.Session().resource("s3").Bucket resource("s3").Bucket Bucket (bucket).Object

Scripts 93
article thumbnail

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Healthcare and life sciences. Fraud detection.

Scripts 71