Results 121 to 130 of about 291,165 (305)

Receiver operating characteristic (ROC) analysis for TLG of pancreatic cancer patients.

, 2019
Receiver operating characteristic (ROC) analysis for TLG of pancreatic cancer patients.
Reiko Ideguchi (6195458), Takashi Kudo (399517), Tomohiko Adachi (6195461), Yorihisa Sumida (3387695), Susumu Eguchi (437982), Altay Myssayev (6195452), Shuichi Tobinaga (6195464), Ayan Myssayev (6195455), Masataka Uetani (2558110)   +8 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Sample Size in Receiver-Operating Characteristic (ROC) Curve Analysis

Circulation Journal, 2012
Yoshinaga, Keiichiro, Tsukamoto, Kazumasa, Tamaki, Nagara   +2 more
openaire   +5 more sources

Comparative analysis of different rainfall prediction models: A case study of Aligarh City, India

Results in Engineering
This research paper delves into creating and comparing rainfall prediction models, employing diverse machine learning algorithms, including Logistic Regression, Decision Tree Classifier, Multi-Layer Perceptron classifier (neural network), and Random ...
Mohd Usman Saeed Khan, Khan Mohammad Saifullah, Ajmal Hussain, Hazi Mohammad Azamathulla   +3 more
doaj   +1 more source

Sensitivity and Specificity in Differentiation of GBMs from PCLs with Receiver Operating Characteristic (ROC) Curve Analysis.

, 2016
Sensitivity and Specificity in Differentiation of GBMs from PCLs with Receiver Operating Characteristic (ROC) Curve Analysis.
Yu Ting Kuo (3122634), Ching Chung Ko (3122631), Tai Yuan Chen (3122619), Ginger Shu (3122637), Jeon Hor Chen (3122625), Yu Chang Lee (3122628), Ming Hong Tai (3122622), Chien Feng Li (3122616)   +7 more
core   +1 more source

Polarization‐Enabled Piezoelectric Tellurium–Selenium (TexSe1–x) Thin Films for Memory Switching and Artificial Synaptic Functions

Advanced Science, EarlyView.
Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung, Mayur Chaudhary, Chia‐Hung Lo, Po‐Chien Lai, You‐Jie Lin, Ruei‐Hong Cyu, Yu‐Ren Peng, Bing‐Ni Gu, Zhao‐Feng Lou, Quynh Thi Le, Yi‐Jen Yu, Yen‐Fu Lin, Min‐Hung Lee, Ying‐Hao Chu, Chang‐Hong Shen, Der‐Hsien Lien, Yu‐Lun Chueh   +16 more
wiley   +1 more source

PresenceAbsence: An R Package for Presence Absence Analysis

The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests.
Elizabeth A. Freeman, Gretchen Moisen
core  

Receiver operating characteristic (ROC) curve analysis presentation of ΔsST2 to predict fatality in DENV infection cases.

, 2019
Receiver operating characteristic (ROC) curve analysis presentation of ΔsST2 to predict fatality in DENV infection cases.
Guey-Chuen Perng (3154932), Chia-Chang Chuang (20569), Chih-Cheng Hsieh (3622817), Ming-Yuan Hong (3909772), Tzong-Shiann Ho (695124), Ching-Chuan Liu (461257)   +5 more
core   +1 more source

SDS‐CRISPR for Single‐Nucleotide Variant Detection

Advanced Science, EarlyView.
Structure‐disruption‐sensitive CRISPR (SDS‐CRISPR) converts structural instability into single‐nucleotide precision, thereby overcoming mismatch tolerance in canonical Cas12a and enabling versatile diagnostics across DNA, RNA, and microRNA targets. When applied to rapid IDH1 mutation detection for glioma genotyping and integrated with lateral‐flow ...
Xin Guan, Chong Guo, Jiongyu Zhang, Rui Yang, Yerramsetti Ramachandra, Chengyu Hou, Minjie Pei, Shuo Zhang, Kurt T. Schalper, Xingye Liu, Qian Wu, Ketan R. Bulsara, Changchun Liu   +12 more
wiley   +1 more source

Parameters behind "nonparametric" statistics: Kendall's tau,Somers' D and median differences

So-called "nonparametric" statistical methods are often in fact based on population parameters, which can be estimated (with confidence limits) using the corresponding sample statistics.
Roger Newson
core