Natural language processing (NLP) is one of the most important frontiers in software. The basic idea—how to consume and generate human language effectively—has been an ongoing effort since the dawn of ...

A new study has found that a natural language processing (NLP) system showed excellent performance when ported to a new health system and tested on more than six million clinical notes of patients ...

The public health policy landscape is shaped by the dynamic interrelationship between legal, institutional, and regulatory frameworks, all of which play a ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...

While large language models and predictive generative transformers have enabled AI to unleash a torrent of words on the world, Dr. Coral Hoh has been working to harness the power of AI to ensure the ...

In total, 5,251 discretized criteria were extracted from 216 protocols. The most frequent criterion was previous chemotherapy/biologics (17%). The multilabel SVM demonstrated a pooled accuracy of 75%.

The global Natural Language Processing (NLP) market size is expected to reach USD 98.05 Billion at a steady revenue CAGR of 25.7% in 2030, according to the latest analysis by Emergen Research. The ...

INDIANAPOLIS – Social risk factors such as financial instability and housing insecurity are increasingly recognized as influencing health. But unlike diagnosis codes, prescription information, lab or ...