Results 251 to 260 of about 1,236,533 (310)

Predictive model for converting optic neuritis to multiple sclerosis; decision tree in focus. [PDF]

PLoS One
Rasouli S, Dakkali MS, Ghazvini A, Azarbad R, Asani M, Mirzaasgari Z, Arish M.   +6 more
europepmc   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

Advanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis, Subhajit Dutta, Saqib Kamal, Sergio Gómez‐Graña, Isabel Pastoriza‐Santos, Stefan Wuttke, Lakshminarayana Polavarapu   +6 more
wiley   +1 more source

Inflammatory activity levels on patients with anti-TNF therapy: most important factors and a decision tree model based on REGISPONSER and RESPONDIA registries. [PDF]

Ther Adv Musculoskelet Dis
Castro Corredor D, Calvo Pascual LÁ, Collantes-Estévez E, López-Medina C.   +3 more
europepmc   +1 more source

Advances in Photonic Materials and Integrated Devices for Smart and Digital Healthcare: Bridging the Gap Between Materials and Systems

Advanced Materials, EarlyView.
This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban, Hoon Yi, Jaejin Park, Yunuo Huang, Ki Jun Yu, Woon‐Hong Yeo   +5 more
wiley   +1 more source

Prediction of methane hydrate equilibrium in saline water solutions based on support vector machine and decision tree techniques. [PDF]

Sci Rep
Hsu CY, Buñay Guaman JS, Ved A, Yadav A, Ezhilarasan G, Rameshbabu A, Alkhayyat A, Aulakh D, Choudhury S, Sunori SK, Ranjbar F.   +10 more
europepmc   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Objectively measured environmental factors in relation to school travel mode among adolescents: a decision tree analysis. [PDF]

Int J Behav Nutr Phys Act
Malnes L, Haugen T, Nordbø ECA, Ivarsson A, Kolle E, Resaland GK, Solberg RB, Åvitsland A, Berntsen S.   +8 more
europepmc   +1 more source

Challenges and Opportunities for Rechargeable Aqueous Sn Metal Batteries

Advanced Materials, EarlyView.
Rechargeable aqueous batteries with metal anodes promise enhanced energy density, combining higher output voltage and capacity with high safety. This perspective highlights the emerging potential of the Sn metal anode, emphasizing its resistance to hydrogen evolution, high reversibility, and sustainability.
Haozhe Zhang, Di‐Jia Liu, Kang Xu, Ying Shirley Meng   +3 more
wiley   +1 more source

Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells. [PDF]

BMC Med Inform Decis Mak
Li Y, Zhao X, Zhou Y, Gong L, Peng E.
europepmc   +1 more source