Results 181 to 190 of about 48,097 (299)
Summary Background and objectives Despite rising survival rates, emotional distress remains a major issue for melanoma patients. However, survivors and individuals at increased risk of melanoma are rarely included in distress assessments, leaving their specific needs poorly understood.
Alina M. Torrez +10 more
wiley +1 more source
Classification of daily activities using a wireless instrumented insole (WalkinSense) in a semi free-living setting. [PDF]
Backes A +9 more
europepmc +1 more source
The application of machine learning models to optimal TSP tour length estimation
Abstract The traveling salesman problem (TSP) is a well‐known NP‐hard problem in combinatorial optimization, with numerous applications in logistics and elsewhere. This paper introduces a machine learning‐based approach to estimate the optimal tour length of the TSP, using linear regression, random forests (RF), and neural networks, including ...
Shuhan Kou, Bruce Golden, Luca Bertazzi
wiley +1 more source
Imputing Poverty Indicators Without Consumption Data: An Exploratory Analysis
ABSTRACT Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated, or display inconsistencies over time in poorer countries. To address these data challenges, we employ survey‐to‐survey imputation to produce estimates for several poverty indicators including headcount poverty, extreme poverty ...
Hai‐Anh H. Dang +3 more
wiley +1 more source
Simulation-Based Evaluation of Busulfan Sampling Strategies in Adults and Adolescents Undergoing Allogeneic Hematopoietic Stem Cell Transplantation. [PDF]
Tan Z +6 more
europepmc +1 more source
Three methods for substituting on‐site ambient ultraviolet radiation measurements for personal exposure measurements were investigated. Assuming spatial persistency of measurements from high‐grade instruments delivers lowest uncertainties up to distances of 82 km.
F. Lubitz +7 more
wiley +1 more source
Multioutput Machine Learning Model for Predicting Postoperative Outcomes After Liposuction: Algorithm Development and Validation Study in a Multicenter Cohort. [PDF]
Lee C +9 more
europepmc +1 more source
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky +2 more
wiley +1 more source

