Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction
The use of artificial intelligence in medicine is currently an issue of great interest, especially
with regard to the diagnostic or predictive analysis of medical images. Adoption of an …
with regard to the diagnostic or predictive analysis of medical images. Adoption of an …
Translation of proteomic biomarkers into FDA approved cancer diagnostics: issues and challenges
Tremendous efforts have been made over the past few decades to discover novel cancer
biomarkers for use in clinical practice. However, a striking discrepancy exists between the …
biomarkers for use in clinical practice. However, a striking discrepancy exists between the …
Smart detection: an online approach for DoS/DDoS attack detection using machine learning
FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …
(DoS) attacks. This cyber threat continues to grow even with the development of new …
Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh
Urbanization causes enormous land use and land cover (LULC) changes, which creates a
significant impacts on land surface temperature (LST) in rapidly growing mega-cities. The …
significant impacts on land surface temperature (LST) in rapidly growing mega-cities. The …
Deep learning approach for microarray cancer data classification
HS Basavegowda, G Dagnew - CAAI Transactions on …, 2020 - Wiley Online Library
Analysis of microarray data is a highly challenging problem due to the inherent complexity in
the nature of the data associated with higher dimensionality, smaller sample size …
the nature of the data associated with higher dimensionality, smaller sample size …
Predicting the thermodynamic stability of perovskite oxides using machine learning models
Perovskite materials have become ubiquitous in many technologically relevant applications,
ranging from catalysts in solid oxide fuel cells to light absorbing layers in solar photovoltaics …
ranging from catalysts in solid oxide fuel cells to light absorbing layers in solar photovoltaics …
[图书][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
Artificial intelligence in dermatology—where we are and the way to the future: a review
Although artificial intelligence has been available for some time, it has garnered significant
interest recently and has been popularized by major companies with its applications in …
interest recently and has been popularized by major companies with its applications in …
A comparison study of kernel functions in the support vector machine and its application for termite detection
M Achirul Nanda, K Boro Seminar, D Nandika… - Information, 2018 - mdpi.com
Termites are the most destructive pests and their attacks significantly impact the quality of
wooden buildings. Due to their cryptic behavior, it is rarely apparent from visual observation …
wooden buildings. Due to their cryptic behavior, it is rarely apparent from visual observation …
Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: a discussion and proposal for an alternative approach
Objectives The objectives are to describe the disadvantages of the area under the receiver
operating characteristic curve (ROC AUC) to measure diagnostic test performance and to …
operating characteristic curve (ROC AUC) to measure diagnostic test performance and to …