Results 141 to 150 of about 353,414 (194)

Development of an interpretable machine learning model to predict complete remission and first adverse event in pediatric acute myeloid leukemia using routine clinical data. [PDF]

Front Oncol
Huang N, Wang W, Yang R, Liao Z, Yang H, Chen X.   +5 more
europepmc   +1 more source

Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models. [PDF]

BMC Infect Dis
Adeboye A, Georgeleen O, Olusesan A, Colin N.   +3 more
europepmc   +1 more source

Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma. [PDF]

World J Radiol
Yang YH.
europepmc   +1 more source

Multimodal Fusion of Environmental and Physiological Data for Real-World Personalised Comfort Modelling. [PDF]

Sensors (Basel)
Heng S, Yavari A.
europepmc   +1 more source

Development of a Machine Learning‑Based Prognostic Model for Intermediate Trophoblastic Tumors: A Single-Center Study With Web-Based Tool Implementation. [PDF]

JCO Precis Oncol
Wang W, Jiao Y, Li Y, Jiang F, Wan X, Feng F, Zhao J, Ren T, Wang D, Du M, Li C, Zheng Z, Tian D, Yang J, Xiang Y.   +14 more
europepmc   +1 more source

The Effect of Variable Resistance Training on Post-Activation Performance Enhancement: A Systematic Review and Three-Level Meta-analysis. [PDF]

Sports Med Open
Yan Z, Lin S, Wu J, Yi X, Liu J, Liu R.
europepmc   +1 more source

Realization of High-Reliable Coherent-State Quantum Secure Communication. [PDF]

Research (Wash D C)
Chen X, Chai G, Wang L, Wang S, Chen X, Cao Z.   +5 more
europepmc   +1 more source

An integrated multi-factor decision model for personalized NIPT timing using BMI stratification. [PDF]

Sci Rep
Luo X, Wang J, Yang Y, He C.
europepmc   +1 more source

Prognostic value of preoperative inflammatory markers in resectable non-small cell lung cancer: a multi-center retrospective study based on logistic regression and machine learning techniques. [PDF]

Front Med (Lausanne)
Cai X, Lin D, Wang S, Li J, Zhou X, Liu H.   +5 more
europepmc   +1 more source

Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer. [PDF]

Cancer Rep (Hoboken)
Hao T, Ji X, Zhao Q, Wei M.
europepmc   +1 more source