Foundational statistical principles in medical research: sensitivity, specificity, positive predictive value, and negative predictive value

TF Monaghan, SN Rahman, CW Agudelo, AJ Wein… - Medicina, 2021 - mdpi.com
Sensitivity, which denotes the proportion of subjects correctly given a positive assignment
out of all subjects who are actually positive for the outcome, indicates how well a test can …

A preventive model for hamstring injuries in professional soccer: Learning algorithms

F Ayala, A López-Valenciano… - … journal of sports …, 2019 - thieme-connect.com
Hamstring strain injury (HSI) is one of the most prevalent and severe injury in professional
soccer. The purpose was to analyze and compare the predictive ability of a range of …

[HTML][HTML] A preventive model for muscle injuries: a novel approach based on learning algorithms

A López-Valenciano, F Ayala, JM Puerta… - Medicine and science …, 2018 - ncbi.nlm.nih.gov
Purpose: The purpose was to analyse and compare the behaviour of numerous machine
learning methods in order to select the best performing injury risk factor model to identify …

A field-based approach to determine soft tissue injury risk in elite futsal using novel machine learning techniques

I Ruiz-Pérez, A López-Valenciano… - Frontiers in …, 2021 - frontiersin.org
Lower extremity non-contact soft tissue (LE-ST) injuries are prevalent in elite futsal. The
purpose of this study was to develop robust screening models based on pre-season …

Predicting circRNA-drug resistance associations based on a multimodal graph representation learning framework

Z Liu, Q Dai, X Yu, X Duan… - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Circular RNA (circRNA) is a class of noncoding RNA that is highly conserved and exhibit
exceptional stability. Due to its function as a microRNA sponge, circRNA has gained …

Comparing cost sensitive classifiers by the false-positive to false-negative ratio in diagnostic studies

A Kumaravel, T Vijayan - Expert Systems with Applications, 2023 - Elsevier
Nowadays researchers want to be cautious about cost of building models which can
generate false positives and false negatives in unexpected ways. They keep on searching …

Long non-coding RNA pairs to assist in diagnosing sepsis

X Zheng, KS Leung, MH Wong, L Cheng - BMC genomics, 2021 - Springer
Background Sepsis is the major cause of death in Intensive Care Unit (ICU) globally.
Molecular detection enables rapid diagnosis that allows early intervention to minimize the …

[HTML][HTML] Predicting injury risk using machine learning in male youth soccer players

FJ Robles-Palazón, JM Puerta-Callejón… - Chaos, Solitons & …, 2023 - Elsevier
The aim of this study was twofold: a) to build models using machine learning techniques on
data from an extensive screening battery to prospectively predict lower extremity soft tissue …

Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study

A Fanizzi, F Fadda, M Maddalo, S Saponaro… - Plos one, 2024 - journals.plos.org
Background To address the numerous unmeet clinical needs, in recent years several
Machine Learning models applied to medical images and clinical data have been …

An improved cost-sensitive approach toward the selection of wart treatment methods

A Mishra, US Reddy, AV Reddy - Network Modeling Analysis in Health …, 2023 - Springer
Warts are benign tumors, caused due to the infection of human papillomavirus (HPV). The
identification of wart-specific treatment methods is pertaining to major challenges such as …