Medical Journal of the Islamic Republic Of Iran
مجله پزشکی جمهوری اسلامی ایران
Med J Islam Repub Iran
Medical Sciences
http://mjiri.iums.ac.ir
2
journal2
1016-1430
2251-6840
8
10.18869/mjiri
14
8888
13
en
jalali
1390
2
1
gregorian
2011
5
1
25
1
online
1
fulltext
en
Recognition and prediction of leukemia with Artificial Neural
Special
Special
Original Research
Original Research
<p> <strong> Abstract </strong></p><p> <strong> Background </strong>: Leukemia is one of the mostcommon cancers in children, comprising more than a third of all </p><p> childhood cancers. Newly affected patients in USA are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. Because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy) is impossible, we decided to apply artificial neural network for rapid leukemia diagnosis. For this aim we used clinical and medical parameters taken from 131 patients of Sina hospital of Hamadan. </p><p> <strong> Methods </strong>: We carried out independent sample T-test with SPSS software for 38 parameters. With regard to </p><p> the results of this analysis we selected 8 parameters that had lowest sig for ANN analysis (among parameters, whose sig were less than 0.05). Selected parameters of 131 patients were applied for training network with Levenberg-Marquardt learning algorithm, with learning rate of 0.1. </p><p> <strong> Results </strong>: Performance of learning was 0.094. The Relationship between the output of trained network for test data and real results of test data was high and the area under ROC curve was 0.967. </p><p> <strong> Conclusions </strong>: With these results we can conclude that training process was done successfully and accurately. Therefore we can use artificial neural network for rapid and reliable leukemia recognition. </p><p> </p>
ANN, artificial neural network, cancer, leukemia, prediction
35
39
http://mjiri.iums.ac.ir/browse.php?a_code=A-10-1-141&slc_lang=en&sid=1
Saeid
Afshar
spro_h@yahoo.com
20031947532846001470
20031947532846001470
Yes
Hamadan Payame Noor University (PNU), Tehran road, Hamadan, Iran
Fahimeh
Abdolrahmani
20031947532846001471
20031947532846001471
No
Emam Hosein Medical lab
Fereshte
Vakili Tanha
20031947532846001472
20031947532846001472
No
Emam Hosein Medical lab
Mahin
Zohdi Seif
20031947532846001473
20031947532846001473
No
Payame Noor University of Hamadan
Kobra
Taheri
20031947532846001474
20031947532846001474
No
Payame Noor University of Hamadan