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 …
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 …
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
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 …
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 …
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 …
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 …
generate false positives and false negatives in unexpected ways. They keep on searching …
Long non-coding RNA pairs to assist in diagnosing sepsis
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 …
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 …
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 …
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 …
identification of wart-specific treatment methods is pertaining to major challenges such as …