Results 181 to 190 of about 184,822 (218)

Predicting unfavorable tuberculosis outcomes using machine learning: a prospective cohort. [PDF]

Trop Med Health
Lee T, Choi I, Lee H, Kim HW, Lee EG, Park Y, Jung SS, Kim JW, Oh JY, Lee H, Kim SH, Kim SH, Lyu J, Kwon SJ, Jeong YJ, Koo HK, Kim JS, Min J.   +17 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Identification of key predictors of postmenopausal osteoporosis from routine clinical indicators using explainable machine learning. [PDF]

PLoS One
Guo Y, Jiang S, Zhu W, Tan L, Liu C, Jia Y, Zhang C, Chin KY.   +7 more
europepmc   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Machine Learning-Based Prediction of Polymer Properties Using Structure-Property Relationship Modeling. [PDF]

Polymers (Basel)
Rahman MH, Arifuzzaman M, Haque ME, Naidu RS, Hoque ME, Martuza MA.   +5 more
europepmc   +1 more source

Machine Learning in Nonischemic Cardiomyopathy: Phenotyping, Mechanism Discovery, and Clinical Applications. [PDF]

Cardiol Rev
Quansah K, Anderson E, Kwon E, Kwon C.
europepmc   +1 more source

Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography After Out-of-Hospital Cardiac Arrest. [PDF]

Cureus
Inoue F, Ono Y, Okazaki Y, Ichiba T.
europepmc   +1 more source

Good things come in threes: evaluating clinical utility of machine learning-derived clusters. [PDF]

JAMIA Open
Lisik D, De Kok JWTM, Bermúdez Barón N, Vanfleteren LEGW, Nwaru BI, Basna R.   +5 more
europepmc   +1 more source