PMID- 36292278
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221030
IS  - 2227-9032 (Print)
IS  - 2227-9032 (Electronic)
IS  - 2227-9032 (Linking)
VI  - 10
IP  - 10
DP  - 2022 Sep 22
TI  - Classification Algorithms Used in Predicting Glaucoma Progression.
LID - 10.3390/healthcare10101831 [doi]
LID - 1831
AB  - In this paper, various machine learning algorithms were used in order to predict 
      the evolution of open-angle glaucoma (POAG). The datasets were built containing 
      clinical observations and objective measurements made at the Countess of Chester 
      Hospital in the UK and at the "St. Spiridon" Hospital of Iasi, Romania. Using 
      these datasets, different classification problems were proposed. The evaluation 
      of glaucoma progression was conducted based on parameters such as VFI (Visual 
      field index), MD (Mean Deviation), PSD (Pattern standard deviation), and RNFL 
      (Retinal Nerve Fiber Layer). As classification tools, the following algorithms 
      were used: Multilayer Perceptron, Random Forest, Random Tree, C4.5, k-Nearest 
      Neighbors, Support Vector Machine, and Non-Nested Generalized Exemplars. The best 
      results, with an accuracy of over 90%, were obtained with Multilayer Perceptron 
      and Random Forest algorithms. The NNGE algorithm also proved very useful in 
      creating a hierarchy of the input values according to their influence (weight) on 
      the considered outputs. On the other hand, the decision tree algorithms gave us 
      insight into the logic used in their classification, which is of practical 
      importance in obtaining additional information regarding the rationale behind a 
      certain rule or decision.
FAU - Tarcoveanu, Filip
AU  - Tarcoveanu F
AD  - Ophthalmology Department, Faculty of Medicine, University of Medicine and 
      Pharmacy "Gr. T. Popa" Iasi, University Street No 16, 700115 Iasi, Romania.
FAU - Leon, Florin
AU  - Leon F
AUID- ORCID: 0000-0002-1370-9145
AD  - Faculty of Automatic Control and Computer Engineering, "Gheorghe Asachi" 
      Technical University of Iasi, 27 Mangeron Street, 700050 Iasi, Romania.
FAU - Curteanu, Silvia
AU  - Curteanu S
AD  - Department of Chemical Engineering, Faculty of Chemical Engineering and 
      Environmental Protection "Cristofor Simionescu", "Gheorghe Asachi" Technical 
      University of Iasi, 73 Mangeron Street, 700050 Iasi, Romania.
FAU - Chiselita, Dorin
AU  - Chiselita D
AD  - Ophthalmology Department, Faculty of Medicine, University of Medicine and 
      Pharmacy "Gr. T. Popa" Iasi, University Street No 16, 700115 Iasi, Romania.
FAU - Bogdanici, Camelia Margareta
AU  - Bogdanici CM
AUID- ORCID: 0000-0002-9542-7714
AD  - Ophthalmology Department, Faculty of Medicine, University of Medicine and 
      Pharmacy "Gr. T. Popa" Iasi, University Street No 16, 700115 Iasi, Romania.
FAU - Anton, Nicoleta
AU  - Anton N
AUID- ORCID: 0000-0002-4987-5049
AD  - Ophthalmology Department, Faculty of Medicine, University of Medicine and 
      Pharmacy "Gr. T. Popa" Iasi, University Street No 16, 700115 Iasi, Romania.
LA  - eng
PT  - Journal Article
DEP - 20220922
PL  - Switzerland
TA  - Healthcare (Basel)
JT  - Healthcare (Basel, Switzerland)
JID - 101666525
PMC - PMC9601916
OTO - NOTNLM
OT  - artificial intelligence
OT  - classification algorithms
OT  - glaucoma
OT  - machine learning
OT  - predictions
COIS- The authors declare no conflict of interest.
EDAT- 2022/10/28 06:00
MHDA- 2022/10/28 06:01
PMCR- 2022/09/22
CRDT- 2022/10/27 01:17
PHST- 2022/08/12 00:00 [received]
PHST- 2022/09/18 00:00 [revised]
PHST- 2022/09/19 00:00 [accepted]
PHST- 2022/10/27 01:17 [entrez]
PHST- 2022/10/28 06:00 [pubmed]
PHST- 2022/10/28 06:01 [medline]
PHST- 2022/09/22 00:00 [pmc-release]
AID - healthcare10101831 [pii]
AID - healthcare-10-01831 [pii]
AID - 10.3390/healthcare10101831 [doi]
PST - epublish
SO  - Healthcare (Basel). 2022 Sep 22;10(10):1831. doi: 10.3390/healthcare10101831.