Results 141 to 150 of about 24,246,868 (339)

Coordinates of the receiver operating characteristic (ROC) curve.

, 2019
Coordinates of the receiver operating characteristic (ROC) curve.
Ng Chong Guan (6400754), Zuraida Ahmad Sabki (6400757), Nor Aziyan Yahaya (6400760), Nurul Izzah Shari (6400751), Nor Zuraida Zainal (3838729)   +4 more
core   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Charles Edgar Metz, Ph.D. (1942–2012): pioneer in receiver operating characteristic (ROC) analysis [PDF]

, 2018
Junji Shiraishi, Kunio Doi
openalex   +1 more source

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

Advanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan, Maria Fratello, Francesca Bonini, Samuel Medina Villalon, Zhengchen Cai, Jean‐Marc Lina, Jean‐Michel Badier, Fabrice Bartolomei, Jean Gotman, Christian G. Bénar, Christophe Grova   +10 more
wiley   +1 more source

Receiver Operating Characteristic (ROC) Analysis to Identify Bone Marrow Dose Constraint Cut-Offs for Predicting Hematological Toxicities in High-Risk Endometrial Cancer [PDF]

Raouia Ben Amor, Ines Mlayeh, Amal Riahi, Z. Naimi, Rihab Hadded, Ghada Bouguerra, Awatef Hamdoun, L. Kochbati   +7 more
openalex   +1 more source

An Efficient Detection Platform Based on Mesoporous Au@Cr2O3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling

Advanced Science, EarlyView.
A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun, Yan Wang, Fangying Shi, Wenhe Xie, Yiding Zhang, Heyuhan Zhang, Chunhui Deng, Limin Wu, Meihua Chen, Yonghui Deng   +9 more
wiley   +1 more source

Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis [PDF]

, 2018
Ileana Montoya Perez, Antti Airola, Peter J. Boström, Ivan Jambor, Tapio Pahikkala   +4 more
openalex   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Application of the Bland–Altman and Receiver Operating Characteristic (ROC) Approaches to Study Isotope Effects in Gas Chromatography–Mass Spectrometry Analysis of Human Plasma, Serum and Urine Samples [PDF]

Dimitrios Tsikas
openalex   +1 more source