Results 251 to 260 of about 4,991,757 (343)

Development and validation of a logistic regression model for the diagnosis of colorectal cancer. [PDF]

Sci Rep
Li C, Zhang W, Chen Q, Xiao F, Yang X, Xiao B, Cheng Y, Qin J, Li X, Wan D, Pan Z, Peng J, Wu X.   +12 more
europepmc   +1 more source

Statistical notes for clinical researchers: logistic regression

Restorative Dentistry & Endodontics, 2017
Hae-Young Kim
doaj   +1 more source

Logistic regression analysis of factors associated with fast progression (MD slope >0.30 dB/y).

, 2015
Chen Qiu, Qian Shaohong, Xinghuai Sun, Zhou Chuandi, Fanrong Meng   +4 more
openalex   +2 more sources

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels

Advanced Science, EarlyView.
By integrating with machine learning (ML), hydrogel‐ and ionogel‐based soft sensors are gaining human brain‐like capabilities to perceive, learn, and predict. This review summarizes their advances, focusing on ML‐powered applications such as handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond.
Wenqing He, Rumin Lin, Suixiu Kong, Mengyi Qiang, Lingqi Huang, Bing Dai, Xi Yao, Lei Su, Xueji Zhang   +8 more
wiley   +1 more source

A method to modelling oil spill using combination of logistic regression and cellular automata. [PDF]

MethodsX
Zhang Y, Li S.
europepmc   +1 more source

Public Sentiment Analysis on Corruption Issues in Indonesia Using IndoBERT Fine-Tuning, Logistic Regression, and Linear SVM

Maria Fatima Kono, Ika Nur Fajri, Yoga Pristyanto   +2 more
openalex   +2 more sources

Learning of Object Concept Using Affinity Propagation and Logistic Regression and its Evaluation

, 2018
Shohei Akimoto, Masahito Fukuda, Tomokazu Takahashi, Masato Suzuki, Yasuhiko Arai, Seiji Aoyagi   +5 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Multinomial logistic regression algorithm for the classification of patients with parkinsonisms. [PDF]

EJNMMI Res
Štokelj E, Rus T, Jamšek J, Trošt M, Simončič U.   +4 more
europepmc   +1 more source

Predicting Lung Cancer Stages Using Data Mining and Machine Learning Techniques: A Comparative Analysis of Logistic Regression, Random Forest, and XGBoost Models

Omar Anwar Zegama, Anas Albakar, Soobia Saeed   +2 more
openalex   +2 more sources