Results 201 to 210 of about 95,729 (269)

Machine learning-based identification and ranking of risk factors for lumbar paraspinal muscle atrophy. [PDF]

Arch Orthop Trauma Surg
Schönnagel L, Folkerts T, Guven A, Chiapparelli E, Zhu J, Camino-Willhuber G, Caffard T, Arzani A, Köhli P, Burkhard MD, Shue J, Sama AA, Girardi FP, Cammisa FP, Hughes AP.   +14 more
europepmc   +1 more source

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy

Journal of Ultrasound in Medicine, EarlyView.
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She, Meng‐lu Song, Wen‐bin Chen, Kun‐bin Wu, Zhen‐han Lai   +4 more
wiley   +1 more source

Web-Based Application of Simplified Machine Learning for Detecting Reduced LVEF From 12-Lead ECG. [PDF]

J Arrhythm
Kawakami H, Doi Y, Yamamoto K, Luo Y, Saito M, Inoue K, Yamaguchi O.   +6 more
europepmc   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source

‌Application of XGBoost and logistic regression in predicting 90 days mortality for elderly severe acute renal failure patients. [PDF]

Sci Rep
Zeng J, Zhu Y, Ye F, Song Q, Ma H, Yang J, Wu Y.   +6 more
europepmc   +1 more source

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Interpretable machine learning for predicting 30-day mortality following intracranial hemorrhage surgery. [PDF]

Front Neurol
Wang Z, Chen W, Shi Y.
europepmc   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

Electrochemical noise-based data mining to environmental Cl^- concentration measurement of reinforced concrete structure under stray current interference. [PDF]

Sci Rep
Xing F, Xu S, Wang Y, Li W, Wang C.
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source