Assessment of electronic health record for cancer research and patient care through a scoping review of cancer natural language processing

L Wang, S Fu, A Wen, X Ruan, H He, S Liu… - JCO Clinical Cancer …, 2022 - ascopubs.org
PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research and …

Out-of-Pocket Costs for Tyrosine Kinase Inhibitors and Patient Outcomes in EGFR- and ALK-Positive Advanced Non–Small-Cell Lung Cancer

BHL Goulart, JM Unger, S Chennupati… - JCO Oncology …, 2021 - ascopubs.org
PURPOSE: We investigated the association of out-of-pocket (OOP) costs for tyrosine kinase
inhibitors (TKIs) with overall survival (OS) in epidermal growth factor receptor (EGFR)-and …

Survival trends of metastatic lung cancer in california by age at diagnosis, gender, Race/Ethnicity, and histology, 1990-2014

T Li, K Pan, AK Ellinwood, RD Cress - Clinical lung cancer, 2021 - Elsevier
Background We analyzed the survival trends for patients with metastatic lung cancer in
California. Materials and Methods We identified patients first diagnosed with primary lung …

[HTML][HTML] Natural language processing in urology: automated extraction of clinical information from histopathology reports of uro-oncology procedures

H Huang, FXY Lim, GT Gu, MJ Han, AHS Fang… - Heliyon, 2023 - cell.com
Objectives We aimed to automate routine extraction of clinically relevant unstructured
information from uro-oncological histopathology reports by applying rule-based and …

Customizable natural language processing biomarker extraction tool

B Holmes, D Chitale, J Loving, M Tran… - JCO Clinical Cancer …, 2021 - ascopubs.org
PURPOSE Natural language processing (NLP) in pathology reports to extract biomarker
information is an ongoing area of research. MetaMap is a natural language processing tool …

Access to tyrosine kinase inhibitors and survival in patients with advanced EGFR+ and ALK+ positive non–small-cell lung Cancer treated in the real-world

BHL Goulart, S Chennupati, CR Fedorenko… - Clinical Lung Cancer, 2021 - Elsevier
Introduction We assessed the proportion of patients with advanced epidermal growth factor
receptor (EGFR) and anaplastic lymphoma kinase (ALK) positive non–small-cell lung cancer …

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes

E Lin, R Zwolinski, JTY Wu, J La… - Health Informatics …, 2023 - journals.sagepub.com
Introduction: PD-L1 expression is used to determine oncology patients' response to and
eligibility for immunologic treatments; however, PD-L1 expression status often only exists in …

[PDF][PDF] 浅谈基于大型语言模型的聊天机器人对医学教育的影响

潘柔百, 陶蓉 - 内科理论与实践, 2023 - qk.sjtu.edu.cn
)医学教育) 浅谈基于大型语言模型的聊天机器人对医学教育的影响 Page 1 内科理论与实践2023
年第18 卷第6 期 大型语言模型人工智能(artificial intelligence, AI)技术 为医学发展提供了新机遇 …

[HTML][HTML] Cross-registry neural domain adaptation to extract mutational test results from pathology reports

A Rios, EB Durbin, I Hands, SM Arnold, D Shah… - Journal of biomedical …, 2019 - Elsevier
Objective We study the performance of machine learning (ML) methods, including neural
networks (NNs), to extract mutational test results from pathology reports collected by cancer …

[PDF][PDF] Discussion on the influence of chatbot based on large-scale language model on medical education

PAN Roubai, TAO Rong - Journal of Internal Medicine Concepts & …, 2023 - qk.sjtu.edu.cn
)医学教育) 浅谈基于大型语言模型的聊天机器人对医学教育的影响 Page 1 内科理论与实践 2023
年第 18 卷第 6 期 大型语言模型人工智能(artificial intelligence, AI)技术 为医学发展提供了新机遇 …