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[PDF][PDF] AI-driven natural language processing in healthcare: transforming patient-provider communication
Healthcare communication is the lifeblood of effective patient care. The ability of patients
and providers to exchange information, comprehends diagnoses, and collaboratively make …
and providers to exchange information, comprehends diagnoses, and collaboratively make …
Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed
malignant or benign–depending upon the severity of the infection and the current stage. The …
malignant or benign–depending upon the severity of the infection and the current stage. The …
Machine learning–based prediction of clinical outcomes for children during emergency department triage
Importance While machine learning approaches may enhance prediction ability, little is
known about their utility in emergency department (ED) triage. Objectives To examine the …
known about their utility in emergency department (ED) triage. Objectives To examine the …
Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
Skin cancer is being a most deadly type of cancers which have grown extensively worldwide
from the last decade. For an accurate detection and classification of melanoma, several …
from the last decade. For an accurate detection and classification of melanoma, several …
Deep learning support for intelligent transportation systems
J Guerrero‐Ibañez… - Transactions on …, 2021 - Wiley Online Library
Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …
[HTML][HTML] The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
The role of machine learning in knowledge-based response-adapted radiotherapy
With the continuous increase in radiotherapy patient-specific data from multimodality
imaging and biotechnology molecular sources, knowledge-based response-adapted …
imaging and biotechnology molecular sources, knowledge-based response-adapted …
Machine learning-based prediction models for 30-day readmission after hospitalization for chronic obstructive pulmonary disease
While machine learning approaches can enhance prediction ability, little is known about
their ability to predict 30-day readmission after hospitalization for Chronic Obstructive …
their ability to predict 30-day readmission after hospitalization for Chronic Obstructive …
Deep learning for natural language processing in urology: state-of-the-art automated extraction of detailed pathologic prostate cancer data from narratively written …
SR Leyh-Bannurah, Z Tian, PI Karakiewicz… - JCO clinical cancer …, 2018 - ascopubs.org
Purpose Entering all information from narrative documentation for clinical research into
databases is time consuming, costly, and nearly impossible. Even high-volume databases …
databases is time consuming, costly, and nearly impossible. Even high-volume databases …