Evaluation metrics and statistical tests for machine learning

O Rainio, J Teuho, R Klén - Scientific Reports, 2024 - nature.com
Research on different machine learning (ML) has become incredibly popular during the past
few decades. However, for some researchers not familiar with statistics, it might be difficult to …

Saliency of breast lesions in breast cancer detection using artificial intelligence

S Pertuz, D Ortega, É Suarez, W Cancino, G Africano… - Scientific Reports, 2023 - nature.com
The analysis of mammograms using artificial intelligence (AI) has shown great potential for
assisting breast cancer screening. We use saliency maps to study the role of breast lesions …

Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer

CV Trinidad, HB Pathak, S Cheng, SC Tzeng… - Scientific Reports, 2023 - nature.com
High grade serous ovarian carcinoma (HGSOC) accounts for~ 70% of ovarian cancer cases.
Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are …

[HTML][HTML] Reprint of: Clustering of behavioral economic biases in decision-making and risk for cigarette smoking and other substance use in women and men

EA Thrailkill, M DeSarno, ST Higgins - Preventive Medicine, 2024 - Elsevier
Background Low loss aversion (LA) and high delay discounting (DD) are behavioral-
economic decision-making biases that independently predict cigarette smoking and other …

Clustering of behavioral economic biases in decision-making and risk for cigarette smoking and other substance use in women and men

EA Thrailkill, M DeSarno, ST Higgins - Preventive Medicine, 2024 - Elsevier
Background Low loss aversion (LA) and high delay discounting (DD) are behavioral-
economic decision-making biases that independently predict cigarette smoking and other …

kNN algorithm for conditional mean and variance estimation with automated uncertainty quantification and variable selection

M Matabuena, JC Vidal, OHM Padilla… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce a kNN-based regression method that synergizes the scalability
and adaptability of traditional non-parametric kNN models with a novel variable selection …

Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index

J Wang, J Yin, L Tian - Statistics in Medicine, 2024 - Wiley Online Library
In biomarker evaluation/diagnostic studies, the hypervolume under the receiver operating
characteristic manifold (HUM K HUM _K) and the generalized Youden index (JK J _K) are …

A general supply-inspect cost framework to regulate the reliability-usability trade-offs for few-shot inference

F Martínez-Plumed, G Jaimovitch-López, C Ferri… - Complex & Intelligent …, 2024 - Springer
Abstract Language models and other recent machine learning paradigms blur the distinction
between generative and discriminative tasks, in a continuum that is regulated by the degree …

Combining multiple biomarkers linearly to minimize the Euclidean distance of the closest point on the receiver operating characteristic surface to the perfection corner …

BR Mosier, LE Bantis - Statistical Methods in Medical …, 2024 - journals.sagepub.com
The performance of individual biomarkers in discriminating between two groups, typically
the healthy and the diseased, may be limited. Thus, there is interest in developing statistical …

Cutoff estimation and construction of their confidence intervals for continuous biomarkers under ternary umbrella and tree stochastic ordering settings

BC Brewer, LE Bantis - Statistics in Medicine, 2024 - Wiley Online Library
Tuberculosis (TB) studies often involve four different states under consideration,
namely,“healthy,”“latent infection,”“pulmonary active disease,” and “extra‐pulmonary active …