Results 41 to 50 of about 127,975,471 (298)

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

BMC Medical Informatics and Decision Making, 2020
Background In classification and diagnostic testing, the receiver-operator characteristic (ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold causes changes in two types of error: false positives and false negatives ...
André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr, Douglas G. Manuel   +6 more
doaj   +1 more source

Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve [PDF]

, 2010
In recent years, classifier combination has been of great interest for the pattern recognition community as a method to improve classification performance. The most part of combination rules are based on maximizing the accuracy and, only recently, the Area under the ROC curve (AUC) has been proposed as an alternative measure. However, there are several
RICAMATO M.T, F. TORTORELLA
openaire   +2 more sources

ROC-Analyses—Areas Under the Curve.

, 2016
ROC-Analyses—Areas Under the Curve.
E. Neubauer (3149217), E. Riewe (3149226), A. C. Pfeifer (3149220), M. Schiltenwolf (3149223)   +3 more
core   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve [PDF]

Neural Computation, 2017
The area under the ROC curve (AUC) is a widely used performance measure in machine learning. Increasingly, however, in several applications, ranging from ranking to biometric screening to medicine, performance is measured not in terms of the full area under the ROC curve but in terms of the partial area under the ROC curve between two false-positive ...
Harikrishna Narasimhan, Shivani Agarwal 0001   +1 more
openaire   +5 more sources

The area under the ROC curve.

, 2019
The area under the ROC curve.
Fitsum Mesfin Zewudie (7115054), Girum Tesfaye Kiya (7115051)   +1 more
core   +1 more source

ROC curve and area under usage of skilled birth attendant.

, 2023
ROC curve and area under usage of skilled birth attendant.
Ramendra Nath Kundu (13205987), Premananda Bharati (6635528), Nusrat Jahan Ema (17048298), Md. Golam Hossain (6470264), Mahmuda Khanom Eva (17048301), Abu Sayed Md. Al Mamun (16548862), Md. Abdur Rafi (7201049), Ahsanul Khabir (17048304)   +7 more
core   +1 more source

A Low Psoas Muscle Index Was Associated With a Poorer Overall Survival in Patients Who Underwent Percutaneous Nephrostomy

Aging and Cancer, EarlyView.
In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara, Takashi Kawahara, Kazuhide Makiyama, Hiroji Uemura   +3 more
wiley   +1 more source

Longitudinal Assessment of Biomarkers in ALS: Discriminative Biomarkers for Disease Progression and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers, Yueh‐Yun Lin, Jason R. Thonhoff, Aaron D. Thome, Alireza Faridar, Weihua Zhao, Shixiang Wen, Stanley H. Appel   +7 more
wiley   +1 more source

Novel Nonparametric Methods For ROC Curves

, 2018
The receiver operating characteristic (ROC) curve is a widely used graphical method for evaluating the discriminating power of a diagnostic test or a statistical model in various areas such as epidemiology, industrial quality control and material testing,
An, Yueheng
core   +1 more source