Results 201 to 210 of about 176,187 (274)

Electronic health records improve the diagnosis and prognosis of pulmonary fungal infections in lung cancer patients

VIEW, EarlyView.
Pulmonary fungal infections are life‐threatening complications in lung cancer patients, posing significant challenges in clinical management. To address this, we developed machine learning tools that translate routine electronic health record data into actionable insights for diagnosing infections and assessing prognosis.
Hongwei Meng, Jiayun Yang, Shouzhi Yang, Ayizekeranmu Yiming, Wenjun Yu, Yuewei Zhao, Chunmeng Ding, Kexin Meng, Si Gao, Yang Li, Nan Dan, Dandan Feng, Yunhua Xu, Lin Huang, Yongxia Qiao   +14 more
wiley   +1 more source

Comment on Iacobescu et al. Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities. J. Cardiovasc. Dev. Dis. 2024, 11, 396. [PDF]

J Cardiovasc Dev Dis
Eltawil M, Byham-Gray L, Jia Y, Mistry N, Parrott J, Gohel S.   +5 more
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Application of machine learning methods in prediction of the body constitution types and transformation trends of traditional Chinese medicine: from the datasets of questionnaire survey on elderly people in Southwest China. [PDF]

Front Med (Lausanne)
Huo Y, Wang J, He Y, Zhao Y, Wang F, Zhang M.   +5 more
europepmc   +1 more source

A study on energy consumption analysis and prediction of electric bus at intersections considering driving behavior. [PDF]

Sci Rep
Lyu A, Zhang H, Zhang Y, Li C, Chen Y.
europepmc   +1 more source

Target-enhanced double-pulse LIBS coupled with feature-fused CNN for mechanistic and interpretable coffee origin authentication. [PDF]

Food Chem X
He X, Que K, Liang T, Gao Z, Wang Z, Li Y.   +5 more
europepmc   +1 more source

Influence of Training-Testing Data Variation on ML-Based Deflection Prediction of GFRP-Reinforced High-Strength Concrete Beams. [PDF]

Polymers (Basel)
Karabulut M.
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

A stochastic approach to k-nearest neighbors search using a fixed radius method. [PDF]

Comput Stat
Cano Urrego B, Alsup A, Thompson JA, Koestler DC.   +3 more
europepmc   +1 more source