RESEARCH ARTICLE
Nobel Med 2024; 20(2): 112-118

EVALUATION OF THE PERFORMANCE OF MACHINE LEARNING IN CLASSIFICATION OF IMAGES WITH OR WITHOUT MISSING TEETH IN PANORAMIC RADIOGRAPHS

Kübra Törenek Ağırman, Kübra Başaran Aslan
ABSTRACT
Objective: This study aims to evaluate the functionality and usability of machine learning (ML) in classifying missing teeth in panoramic radiography.

Material and Method: In this study, of 1000 anonymous panoramic radiographs archived for the classification of missing teeth, 500 contained missing teeth, while the other 500 did not contain missing teeth. 700 of the images are reserved for training and 300 for testing. Principal component analysis (PCA) was used to extract features from panoramic radiographs. Six different classification model algorithms (Support Vector Machines (SVM), Random fforest Classifier, Logistic Regression, KNeighbors Classifier, Decision Tree Classifier, and Gaussian NB) were used for missing/complete tooth classification on the created data set. The performance of these models was evaluated.

Results: Among the classification models included in the study, the accuracy scores of SVM were found to be higher than other algorithms, with 98.14% in the training data set and 81.67% in the test data set.

Conclusion: The selection of the appropriate machine learning model is very important to ensure accurate and reliable diagnosis in the field of medical image classification. SVM is a very successful method in classifying multidimensional data.

LIABILITY OF THE PHARMACEUTICAL MANUFACTURER ACCORDING TO ACT NO. 7223

77-84

Burcu G. Özcan Büyüktanır

REVIEW Nobel Med 2024; 20(2): 77-84

PLASMA COENZYME Q10 LEVELS OF INDIVIDUALS WITH NEWLY DIAGNOSED TYPE 2 DIABETES AND DIABETES INDIVIDUALS WITH ADVANCED MICROALBUMINURIA: A COMPARATIVE STUDY

85-92

Osman Yıldırım, Birsen Demirel, Erdal Gündoğan, Hande Seven Avuk

RESEARCH ARTICLE Nobel Med 2024; 20(2): 85-92

IS THE EQ-5D-5L A RELIABLE INSTRUMENT IN PATIENTS UNDERGOING CORONARY ARTERY BYPASS GRAFT SURGERY?

93-98

Zeliha Özdemir Köken, Hafize Savaş, Rana Elçin Sezer Ceren, Sevilay Şenol Çelik, Göktan Aşkın

RESEARCH ARTICLE Nobel Med 2024; 20(2): 93-98

ONLINE COGNITIVE BEHAVIORAL STRESS MANAGEMENT PROGRAM FOR BREAST CANCER PATIENTS

99-111

Esra Savaş, Merve Keleş, Özlem Tin

RESEARCH ARTICLE Nobel Med 2024; 20(2): 99-111

EVALUATION OF THE PERFORMANCE OF MACHINE LEARNING IN CLASSIFICATION OF IMAGES WITH OR WITHOUT MISSING TEETH IN PANORAMIC RADIOGRAPHS

112-118

Kübra Törenek Ağırman, Kübra Başaran Aslan

RESEARCH ARTICLE Nobel Med 2024; 20(2): 112-118

EFFECTS OF THE ANTIEPILEPTIC DRUGS CARBAMAZEPINE AND LEVETIRACETAM ON BONE HEALING IN RAT FRACTURE MODEL

119-127

Mesut Tıkman, Evrim Duman

RESEARCH ARTICLE Nobel Med 2024; 20(2): 119-127

FACTORS AFFECTING CERVICAL CANCER SCREENING BEHAVIOR IN WOMEN AGED 30-65 YEARS IN A DISTRICT IN ISTANBUL

128-134

Nefise Şeker, Halim İşsever

RESEARCH ARTICLE Nobel Med 2024; 20(2): 128-134

A CLASTOGENICITY STUDY WITH MITOMYCIN-C IN APLASTIC ANEMIA: DISTINGUISHING FANCONI ANEMIA

135-140

Gülçin Bağatir, Şükrü Öztürk, Ayşe Gül Bayrak Tokaç, Kıvanç Çefle, Aysegül Ünüvar, Zeynep Karakaş, Ayşe Palanduz, Şükrü Palanduz

RESEARCH ARTICLE Nobel Med 2024; 20(2): 135-140

DR. REFİK SAYDAM (1882-1942)

141-146

Turhan ADA

A PORTRAIT Nobel Med 2024; 20(2): 141-146