An Intelligent Clinical Decision Support System for Patient-Specific Predictions to Improve Cervical Intraepithelial Neoplasia Detection, Panagiotis Bountris, Maria Haritou, Abraham Pouliakis, Niki Margari, Maria Kyrgiou, Aris Spathis, Asimakis Pappas, Ioannis Panayiotides, Evangelos Paraskevaidis, Petros Karakitsos, and Dimitrios-Dionyssios Koutsouris. Biomed Res Int. 2014;2014:341483. doi: 10.1155/2014/341483. Epub 2014 Apr 9. (click here to download)

The Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests, Abraham Pouliakis, Efrossyni Karakitsou, Charalampos Chrelias, Asimakis Pappas, Ioannis Panayiotides, George Valasoulis, Maria Kyrgiou, Evangelos Paraskevaidis, and Petros Karakitsos. Biomed Res Int. 2015 Article ID 914740, in press. (click here to download)

Personalised management of women with cervical abnormalities using a clinical decision support scoring system, Maria Kyrgiou, Abraham Pouliakis, John G. Panayiotides, Niki Margari, Panagiotis Bountris, George Valassoulis, Maria Paraskevaidi, Evripidis Bilirakis, Maria Nasioutziki, Aristotelis Loufopoulos, Maria Haritou, Dimitrios D. Koutsouris, Petros Karakitsos, Evangelos Paraskevaidis. Gynecologic Oncology 141 (2016) 29–35 (click  here for Pubmed access)

Development of a clinical decision support system using Genetic algorithms and Bayesian classification for improving the personalized management of women attending a colposcopy room, Panagiotis Bountris, Elena Topaka, Abraham Pouliakis, Maria Haritou, Petros Karakitsos and Dimitrios Koutsouris. Healthcare Technology Letters, (accepted for publication)