Results 151 to 160 of about 123,621 (240)

GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. [PDF]

Sci Rep
Zhang L, Haldorai A, Naik N.
europepmc   +1 more source

Can naive Bayes classifier predict infection in a close contact of COVID-19? A comparative test for predictability of the predictive model and healthcare workers in Japan. [PDF]

J Infect Chemother, 2022
Yoshikawa H.
europepmc   +1 more source

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses

Journal of Forensic Sciences, EarlyView.
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley   +1 more source

Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. [PDF]

PLOS Digit Health
Wang JD.
europepmc   +1 more source

Evaluation of the Artificial Neural Network and Naive Bayes Models Trained with Vertebra Ratios for Growth and Development Determination. [PDF]

Turk J Orthod, 2021
Kök H, İzgi MS, Acılar AM.
europepmc   +1 more source

Response of Fecal Bacteria and Fungi to Tannin‐Rich Diets in Sika Deer (Cervus nippon): Evidence from Both Feeding Experiments and Field Investigations

Integrative Zoology, EarlyView.
Feeding with tannin‐rich diets altered the fecal microbial composition and increased the relative abundance of tannin‐degrading microbes. We hypothesize that fecal bacteria and fungi may play important roles in helping herbivores adapt to tannin‐rich diets but respond to different tannin concentrations varies.
Di Zhu, Feng Wu, Peiying Wen, Haiyang Gao, Xiaoran Hao, Hongfang Wang   +5 more
wiley   +1 more source

Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model. [PDF]

PLoS One
Albreiki S, Simsekler MCE, Qazi A, Bouabid A.   +3 more
europepmc   +1 more source

Integrated Species Distribution Model Using Historical Data Shows Decline in a Common Semi‐Aquatic Mammal

Animal Conservation, EarlyView.
A diagram of the integrated species distribution model of river otter intensity of use. Three types of data (latrine detections, roadkill detections, and detection/nondetection surveys) are linked by different observation processes to the same underlying intensity of use.
John G. Crockett, Charles Brown, Brian D. Gerber   +2 more
wiley   +1 more source

Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes. [PDF]

BMC Med Educ
Monteverde-Suárez D, González-Flores P, Santos-Solórzano R, García-Minjares M, Zavala-Sierra I, de la Luz VL, Sánchez-Mendiola M.   +6 more
europepmc   +1 more source

The Therapeutic Potential of Farm Dust Extracts in a Mouse Model of Eosinophilic Inflammation

Allergy, EarlyView.
Farm dust extract (FDE) treatment reduces airway eosinophilia, mucus overproduction, and MHC‐II expression on DCs, limiting antigen presentation and Th2 inflammation. It increases PD‐L1 on DCs, promoting T cell deactivation. Additionally, FDE enhances Tregs and upregulates CTLA‐4, reinforcing suppression.
Rabia Ülkü Korkmaz, Jimmy Omony, Xiaomei Tan, Markus Klotz, Guilherme Dragunas, Sirui Chen, Soni Shankhwar, Zeynep Ertüz, Christoph Müller, Mohab Ragab, Aicha Jeridi, Romina Augustin, Janna Nawroth, Theodore S. Kapellos, Bettina Rankl, Ali Önder Yildirim, Erika von Mutius   +16 more
wiley   +1 more source