Zobrazeno 1 - 10
of 11 626
pro vyhledávání: '"predictive modeling"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Total thoracoscopic valve replacement (TTVR) is a minimally invasive alternative to traditional open-heart surgery. However, some patients undergoing TTVR experience prolonged mechanical ventilation (PMV). Predicting PMV risk is crucial for
Externí odkaz:
https://doaj.org/article/9a1d94bf0030406a852c4c9a2795c597
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Developing machine learning (ML) methods for healthcare predictive modeling requires absolute explainability and transparency to build trust and accountability. Graphical models (GM) are key tools for this but face challenges like small samp
Externí odkaz:
https://doaj.org/article/bb610cb66ef442a1a76b093177e12549
Autor:
John W. Larkin, Suman Lama, Sheetal Chaudhuri, Joanna Willetts, Anke C. Winter, Yue Jiao, Manuela Stauss-Grabo, Len A. Usvyat, Jeffrey L. Hymes, Franklin W. Maddux, David C. Wheeler, Peter Stenvinkel, Jürgen Floege, on behalf of the INSPIRE Core Group
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Gastrointestinal bleeding (GIB) is a clinical challenge in kidney failure. INSPIRE group assessed if machine learning could determine a hemodialysis (HD) patient’s 180-day GIB hospitalization risk. Methods An eXtreme Gradient Bo
Externí odkaz:
https://doaj.org/article/f4272cea88a24d7fa5d86c3b4f57a0ee
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-21 (2024)
Abstract Background The transition from explanative modeling of fitted data to the predictive modeling of unseen data for systems biology endeavors necessitates the effective recovery of reaction parameters. Yet, the relative efficacy of optimization
Externí odkaz:
https://doaj.org/article/69b364aa894f44a6b204a9e42584b873
Autor:
Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Stroke prediction remains a critical area of research in healthcare, aiming to enhance early intervention and patient care strategies. This study investigates the efficacy of machine learning techniques, particularly principal component anal
Externí odkaz:
https://doaj.org/article/ad13fbd4562842c1ad6f140bd7a145c9
Publikováno v:
Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background Infertility affects one in six couples worldwide, with advanced maternal age (AMA) posing unique challenges due to diminished ovarian reserve and reduced oocyte quality. Single vitrified-warmed blastocyst transfer (SVBT) has shown
Externí odkaz:
https://doaj.org/article/5e0f21da55984626a58924435414fb02
Publikováno v:
Cancer Management and Research, Vol Volume 16, Pp 1375-1387 (2024)
Lining Zhou,1,* Hong Hong,2,* Fuying Chu,1 Xiang Chen,1 Chenlu Wang1 1Department of Clinical Laboratory, The Second Affiliated Hospital of Nantong University and Nantong City No.1 People’s Hospital, Nantong, People’s Republic of China; 2D
Externí odkaz:
https://doaj.org/article/9a37c32471ed4469aefcfd12473f1a1e
Publikováno v:
Shipin Kexue, Vol 45, Iss 17, Pp 26-34 (2024)
To meet the different functional needs for soybean protein isolate (SPI) in different food applications, this study utilized infrared spectroscopy to rapidly analyze 70 SPI samples subjected to different pH treatments, and explored the effect of pH c
Externí odkaz:
https://doaj.org/article/63a9cd8c156d4857acf8e4efe4f0c183
Autor:
Kristina Zogović
Publikováno v:
International Journal for Quality Research, Vol 18, Iss 3, Pp 731-744 (2024)
This investigation explores e-commerce product sales patterns, integrating Quality Management and Business Optimization perspectives. We analyze product listings, ratings, and sales metrics using a unique dataset from data.world.com, sourced from Wis
Externí odkaz:
https://doaj.org/article/c86b7693719c4ee4b7af2be547d0dcd2
Autor:
Ibrahim Baba Suleiman, Oluwasogo Adekunle Okunade, Emmanuel Gbenga Dada, Uchenna Christiana Ezeanya
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Academic achievement is a multifaceted outcome influenced by a multitude of factors spanning across educational, socioeconomic, and individual characteristics. Understanding the key determinants of students’ academic performance is paramou
Externí odkaz:
https://doaj.org/article/6baeeb36083f47c3a2bfaf730967cb42