Results 31 to 40 of about 83,604 (260)
Jambura Journal of Mathematics, 2023 This paper discusses the performance of the K-Nearest Neighbor Algorithm with dimension reduction using Principal Component Analysis (PCA) in the case of diabetes disease classification.
Aldila Dinanti, Joko Purwadi
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Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
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Pilar Nusa Mandiri, 2022 Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data.
Ni Ketut Melly Astuti +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
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A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces
Journal of Harbin University of Science and Technology, 2018 For the nearest neighbor query problem of continuous moving objects in spatio-temporal databases, the COpKNN (continuous obstructed possible k-nearest neighbor) query is proposed: in a two-dimensional space, given a moving query point q, a set of moving ...
WAN Jing +3 more
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A generalized k-nearest neighbor rule
Information and Control, 1970 A family of supervised, nonparametric decision rules, based on tolerance regions, is described which includes the k-Nearest Neighbor decision rules when there are two classes. There are two practical reasons for doing so: first, a family of decision rules similar to the k-Nearest Neighbor rules can be specified which applies to a broader collection of ...
Edward A. Patrick +1 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas +7 more
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Fast Approximate Complete-data k-nearest-neighbor Estimation
Austrian Journal of Statistics, 2020 We introduce a fast method to estimate the complete-data set of k-nearest-neighbors.This is equivalent to finding an estimate of the k-nearest-neighbor graph of the data. The method relies on random normal projections.
Alejandro Murua, Nicolas Wicker
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Search K Nearest Neighbors on Air [PDF]
, 2002 While the K-Nearest-Neighbor (KNN) problem is well studied in the traditional wired, disk-based client-server environment, it has not been tackled in a wireless broadcast environment. In this paper, the problem of organizing location dependent data and answering KNN queries on air are investigated.
Baihua Zheng +2 more
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source