ELIZA

return kwic search for through out of >500 occurrences
437431 occurrences (No.38 in the rank) during 5 years in the PubMed. [no cache] 500 found

303) Based on this fact, we used an artificial neural network model optimised through Genetic algorithm to predict mortality.

--- ABSTRACT ---

PMID:24304230 DOI:10.1080/17457300.2013.857695

2015 International journal of injury control and safety promotion

* Prediction of road traffic death rate using neural networks optimised by genetic algorithm.

- Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regional and national levels. Therefore, prediction of road traffic death rate will be helpful in its management. Based on this fact, we used an artificial neural network model optimised through Genetic algorithm to predict mortality. In this study, a five-fold cross-validation procedure on a data set containing total of 178 countries was used to verify the performance of models. The best-fit model was selected according to the root mean square errors (RMSE). Genetic algorithm, as a powerful model which has not been introduced in prediction of mortality to this extent in previous studies, showed high performance. The lowest RMSE obtained was 0.0808. Such satisfactory results could be attributed to the use of Genetic algorithm as a powerful optimiser which selects the best input feature set to be fed into the neural networks. Seven factors have been known as the most effective factors on the road traffic mortality rate by high accuracy. The gained results displayed that our model is very promising and may play a useful role in developing a better method for assessing the influence of road traffic mortality risk factors.

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[frequency of next (right) word to through]

(1)113 the	(12)3 biological	(23)2 direct	(34)2 low
(2)51 a	(13)3 both	(24)2 evidence	(35)2 maternal
(3)11 an	(14)3 cortical	(25)2 focus	(36)2 paracrine
(4)10 which	(15)3 histological	(26)2 four	(37)2 promoting
(5)5 their	(16)3 infancy	(27)2 human	(38)2 rat
(6)4 activation	(17)3 interaction	(28)2 information,	(39)2 reward
(7)4 its	(18)3 simulation	(29)2 inhibition	(40)2 skin
(8)4 median	(19)2 2012	(30)2 interactions	(41)2 such
(9)4 three	(20)2 August	(31)2 international	(42)2 these
(10)4 use	(21)2 PCR-based	(32)2 intersection
(11)3 analysis	(22)2 different	(33)2 interviews

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--- WordNet output for through --- =>直通の, のために, の間じゅう, 終わって, を貫いて, の中を通って, のいたるところに, を通じて Overview of adj through The adj through has 2 senses (first 1 from tagged texts) 1. (4) done, through, through with -- (having finished or arrived at completion; "certain to make history before he's done"; "it's a done deed"; "after the treatment, the patient is through except for follow-up"; "almost through with his studies") 2. through -- ((of a route or journey etc.) continuing without requiring stops or changes; "a through street"; "a through bus"; "through traffic") Overview of adv through The adv through has 5 senses (first 3 from tagged texts) 1. (5) through -- (from beginning to end; "read this book through") 2. (2) through -- (over the whole distance; "this bus goes through to New York") 3. (1) through -- (to completion; "think this through very carefully!") 4. through -- (in diameter; "this cylinder measures 15 inches through") 5. through, through and through -- (throughout the entire extent; "got soaked through in the rain"; "I'm frozen through"; "a letter shot through with the writer's personality"; "knew him through and through"; "boards rotten through and through") --- WordNet end ---