Peering into the black box of artificial intelligence: evaluation metrics of machine learning methods
GS Handelman, HK Kok, RV Chandra… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. Machine learning (ML) and artificial intelligence (AI) are rapidly becoming the
most talked about and controversial topics in radiology and medicine. Over the past few …
most talked about and controversial topics in radiology and medicine. Over the past few …
The immune epitope database and analysis resource in epitope discovery and synthetic vaccine design
The task of epitope discovery and vaccine design is increasingly reliant on bioinformatics
analytic tools and access to depositories of curated data relevant to immune reactions and …
analytic tools and access to depositories of curated data relevant to immune reactions and …
[HTML][HTML] Sample size estimation in diagnostic test studies of biomedical informatics
K Hajian-Tilaki - Journal of biomedical informatics, 2014 - Elsevier
Objectives This review provided a conceptual framework of sample size calculations in the
studies of diagnostic test accuracy in various conditions and test outcomes. Methods The …
studies of diagnostic test accuracy in various conditions and test outcomes. Methods The …
Translational biomarker discovery in clinical metabolomics: an introductory tutorial
Metabolomics is increasingly being applied towards the identification of biomarkers for
disease diagnosis, prognosis and risk prediction. Unfortunately among the many published …
disease diagnosis, prognosis and risk prediction. Unfortunately among the many published …
Careless responding in questionnaire measures: Detection, impact, and remedies
Undetected carelessly given responses in survey data diminish the credibility of study
findings. We therefore examined two pressing issues: the accuracy of popular screening …
findings. We therefore examined two pressing issues: the accuracy of popular screening …
Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms
As a frequent natural disaster, landslides incur significant economic and human losses
worldwide. The main idea of this paper is to propose novel integrative models for landslide …
worldwide. The main idea of this paper is to propose novel integrative models for landslide …
Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
KH Zou, AJ O'Malley, L Mauri - Circulation, 2007 - Am Heart Assoc
When evaluating a continuous-scale diagnostic test, we need to account for the changes of
specificity and sensitivity when the test threshold t varies. One may wish to report the sum of …
specificity and sensitivity when the test threshold t varies. One may wish to report the sum of …
[HTML][HTML] From genome-wide arrays to tailor-made biomarker readout–Progress towards routine analysis of skin sensitizing chemicals with GARD
A Forreryd, KS Zeller, T Lindberg, H Johansson… - Toxicology in Vitro, 2016 - Elsevier
Allergic contact dermatitis (ACD) initiated by chemical sensitizers is an important public
health concern. To prevent ACD, it is important to identify chemical allergens to limit the use …
health concern. To prevent ACD, it is important to identify chemical allergens to limit the use …
Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics
DD Marshall, R Powers - Progress in nuclear magnetic resonance …, 2017 - Elsevier
Metabolomics is undergoing tremendous growth and is being employed to solve a diversity
of biological problems from environmental issues to the identification of biomarkers for …
of biological problems from environmental issues to the identification of biomarkers for …
Deformability-based cell classification and enrichment using inertial microfluidics
SC Hur, NK Henderson-MacLennan, ERB McCabe… - Lab on a Chip, 2011 - pubs.rsc.org
The ability to detect and isolate rare target cells from heterogeneous samples is in high
demand in cell biology research, immunology, tissue engineering and medicine …
demand in cell biology research, immunology, tissue engineering and medicine …