Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction

SH Park, K Han - Radiology, 2018 - pubs.rsna.org
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 …

Translation of proteomic biomarkers into FDA approved cancer diagnostics: issues and challenges

AK Füzéry, J Levin, MM Chan, DW Chan - Clinical proteomics, 2013 - Springer
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 …

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 …

Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh

AA Kafy, MS Rahman, MM Hasan, M Islam - … Applications: Society and …, 2020 - Elsevier
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 …

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 …

Predicting the thermodynamic stability of perovskite oxides using machine learning models

W Li, R Jacobs, D Morgan - Computational Materials Science, 2018 - Elsevier
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 …

[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 …

Artificial intelligence in dermatology—where we are and the way to the future: a review

DT Hogarty, JC Su, K Phan, M Attia, M Hossny… - American journal of …, 2020 - Springer
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 …

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 …

Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: a discussion and proposal for an alternative approach

S Halligan, DG Altman, S Mallett - European radiology, 2015 - Springer
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 …