Negative medical findings are prevalent in clinical reports, yet discriminating them from positive findings remains a challenging task for in-formation extraction. Most of the …
Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act (HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service …
Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning that has been pre-trained to understand and extract health data …
Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data. In this study, we explore how …
Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological …
Clinical predictive modeling involves two challenging tasks, model development and model deployment. In this paper we demonstrate a software architecture for developing and …
For the chronically ill, care delivered in the home is a lifeline to the self-management of chronic conditions. Currently, 90% of Americans age 75 and older have at least one …
The predictive modeling process is time consuming and requires clinical researchers to handle complex electronic health record (EHR) data in restricted computational environments. …
Clinical predictive modeling involves two challenging tasks, model development and model deployment. In this paper we demonstrate a software architecture for developing and …
Objective This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating …
Disease prediction has become important in a variety of applications such as health insurance, tailored health communication and public health. Disease prediction is usually …