287 research outputs found
Alien Registration- Supovitz, Ethel (Auburn, Androscoggin County)
No full texthttps://digitalmaine.com/alien_docs/30447/thumbnail.jp
Eglise Suédoise, 9 rue Guyot : vue intérieure de la chapelle : [photographie de presse] / Agence Meurisse
No full textRéférence bibliographique : Meurisse, 30447 A bisAppartient à l’ensemble documentaire : Pho20MeuImage de press
La mi-Carême, Paris : Musidora, la reine du ciné : [photographie de presse] / Agence Meurisse
No full textRéférence bibliographique : Meurisse, 30447 AAppartient à l’ensemble documentaire : Pho20MeuImage de press
IXme congres annuel de la Societe de chirurgie vasculaire de langue francaise Deauville, 16-18 juin 1994
No full textSIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : Y 30447 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
Aerial Photo: O&GS20-43NE-1360
No full textProject Name: Client: Flown by: Photo Scale: Comments: Photos donated to MGS by University of MassachusettsMGS Aerial Photographs Maphttps://digitalmaine.com/mgs_aerial_photos/30447/thumbnail.jp
Aerial Photo: O&GS20-43NE-1360
No full textProject Name: Client: Flown by: Photo Scale: Comments: Photos donated to MGS by University of MassachusettsMGS Aerial Photographs Maphttps://digitalmaine.com/mgs_aerial_photos/30447/thumbnail.jp
Retinal nerve fiber layer structure abnormalities in patients with Neuro-Behcet's disease
No full textOur aim was the evaluation of retinal nerve fiber layer (RNFL) and central macular thickness (CMT) in patients with Neuro-Behcet's disease (NBD) and to compare the results with healthy control subjects
President Houston Cole Gives 1960 Fall Address
No full textDr. Houston Cole, President at Jacksonville State University, gave his fall address to the faculty and student body in the Leone Cole Auditorium on the morning of September 21, 1960. Shown gathered around him are students Bobby Garrison, Charles Jenkins, Becky McClendon, Jean Strickland, and Billy Anderson (president of the Student Government Association, or SGA).https://digitalcommons.jsu.edu/lib-ac-histimg/30447/thumbnail.jp
Implementasi Algoritma K-nearest Neighbour Dalam Memprediksi Penyakit Serangan Jantung
No full textHeart attack is a deadly disease. The large number of cases and high death rate due to this disease causes the need for a system that can predict heart attacks, so that the death rate can be reduced. This research aims to build a system to predict heart attacks. The K-Nearest Neighbor (KNN) algorithm is a classification method that determines the label (class) of a new object based on the majority of proximity distances between categories in K - Neighbors or nearest neighbors. Model testing was carried out using the K-fold cross-validation (KCV) method to analyze model performance. The data used in testing was 745 for training data and 10 for testing data. Model validity testing was carried out using. To test the kfold cross-validation validation method, the data will be divided into 4 fold test scenarios, namely 5, 10, 15 and 20 fold. Each fold produces an accurate calculation of the confusion matrix. The K-nn values that will be used are 3, 5, 7, 9. From the results of the k-fold cross-validation test, the best k-fold and k-nn values are found at k-fold 20 and k-nn 9 with an accuracy of 67.30 %. After testing the training data, then test the testing data which will be compared with the system results. The comparison results from data testing obtained an accuracy of 70%, precision of 71% and recall of 70%. The hope is that this system can provide assistance to medical personnel who will examine patients who want to have themselves examined
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