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Items: 5

1.

Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method.

Kandala RNVPS, Dhuli R, Pławiak P, Naik GR, Moeinzadeh H, Gargiulo GD, Gunnam S.

Sensors (Basel). 2019 Nov 21;19(23). pii: E5079. doi: 10.3390/s19235079.

2.

A new machine learning technique for an accurate diagnosis of coronary artery disease.

Abdar M, Książek W, Acharya UR, Tan RS, Makarenkov V, Pławiak P.

Comput Methods Programs Biomed. 2019 Oct;179:104992. doi: 10.1016/j.cmpb.2019.104992. Epub 2019 Jul 24.

PMID:
31443858
3.

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.

Abdar M, Wijayaningrum VN, Hussain S, Alizadehsani R, Plawiak P, Acharya UR, Makarenkov V.

J Med Syst. 2019 Jun 7;43(7):220. doi: 10.1007/s10916-019-1343-0.

PMID:
31175462
4.

Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS.

Rzecki K, Sośnicki T, Baran M, Niedźwiecki M, Król M, Łojewski T, Acharya UR, Yildirim Ö, Pławiak P.

Sensors (Basel). 2018 Oct 29;18(11). pii: E3670. doi: 10.3390/s18113670.

5.

Arrhythmia detection using deep convolutional neural network with long duration ECG signals.

Yıldırım Ö, Pławiak P, Tan RS, Acharya UR.

Comput Biol Med. 2018 Nov 1;102:411-420. doi: 10.1016/j.compbiomed.2018.09.009. Epub 2018 Sep 15.

PMID:
30245122

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