In today's healthcare world, there is an increasing impetus on the practice of precision medicine across the healthcare continuum - from individual patients to entire populations. The unstructured medical record is a treasure trove of information that stratifies populations and informs on each individual's personal health status. Unlocking this data enables us to understand both the genetic basis of disease, but also the severity and progression of illness. Natural Language Processing (NLP) can provide a repeatable and transparent means of accurate computational phenotyping from these data, driving true precision medicine.
In this webinar, you will learn howIQVIA NLPis being used to transform unstructured source data into clinical and research decision support insights for rare diseases, oncology and cardiology at some of the leading healthcare organizations in the world. We will cover fundamentals of healthcare NLP as well as some key case studies illustrating its importance:
Deep phenotyping with the Human Phenotype Ontology
Precision Oncology insights from Pathology reports
通过从非结构化EMR提取的特征来预测疾病的进展
Who should attend?
希望通过复杂自由文本的功能增强现有模型的个人
Diagnostic Labs with large volumes of semi and unstructured data that needs curating to understand gene disease associations
Directors of precision medicine, data scientists, CIOs burdened with adding information from unstructured data in order to drive increased accuracy of precision medicine initiatives
Speakers:
Calum Yacoubian
Associate Director NLP Healthcare Strategy, Linguamatics, an IQVIA company
Peng Zhang
IQVIA公司Linguamatics高级应用科学家