Speech Recognition Technology: Improving Speed and Accuracy of Emergency Medical Services Documentation to Protect Patients [PDF]
Because hospital errors, such as mistakes in documentation, cause one in six deaths each year in the United States, the accuracy of health records in the emergency medical services (EMS) must be improved.
Tran, Tan
core +4 more sources
Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings
Systems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics.
Radosław Pytlak +3 more
doaj +1 more source
Enriching basic features via multilayer bag-of-words binding for Chinese question classification
Question classification helps to generate more accurate answers in question answering system. For an efficient question classifier, one of the most important tasks is to fully mine useful features.
Sichun Yang, Chao Gao
doaj +1 more source
Location recognition in laparoscopic surgery
Navigation systems play an increasingly important role in minimally invasive surgery (MIS) by mitigating the problems rising from the decoupling of hand-eye movement of the surgeon.
Gaubatz Jakob +2 more
doaj +1 more source
Language Understanding for Text-based Games Using Deep Reinforcement Learning [PDF]
In this paper, we consider the task of learning control policies for text-based games. In these games, all interactions in the virtual world are through text and the underlying state is not observed. The resulting language barrier makes such environments
Barzilay, Regina +2 more
core +5 more sources
Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
Text Mining of CVD Synthesis Recipes for 2D Materials
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu +11 more
wiley +1 more source
Abnormal Traffic Identification Method Based on Bag of Words Model Clustering [PDF]
In view of the problem that the accuracy of abnormal traffic identification is low and fast identification is dependent on the threshold,an abnormal traffic identification method based on BoW(Bag of Words) model clustering is proposed.By means of K-means
MA Linjin,WAN Liang,MA Shaoju,YANG Ting
doaj +1 more source
Transportation in Social Media: an automatic classifier for travel-related tweets
In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams.
Pasquali, Arian +3 more
core +1 more source
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang +13 more
wiley +1 more source

