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| 1 |
A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults
Su-Yeon Hwang, Jung-Eun Park
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| 2 |
Use of automated artificial intelligence to predict the need for orthodontic extractions
Alberto Del Real, Octavio Del Real, Sebastian Sardina, Rodrigo Oyonarte
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| 3 |
Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population
Oluwakemi Odukoya, Solomon Nwaneri, Ifedayo Odeniyi, Babatunde Akodu, Esther Oluwole, Gbenga Olorunfemi, Oluwatoyin Popoola, Akinniyi Osuntoki
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| 4 |
Predictions of Sampling Site Based on Microbial Compositions Using a Decision Tree-based Method
Incheol Seo
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| 5 |
Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset
Mehrdad Karajizadeh, Mahdi Nasiri, Mahnaz Yadollahi, Amir Hussain Zolfaghari, Ali Pakdam
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| 6 |
A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database
Yosep Chong, Ji Young Lee, Yejin Kim, Jingyun Choi, Hwanjo Yu, Gyeongsin Park, Mee Yon Cho, Nishant Thakur
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| 7 |
Prediction of dental caries in 12-year-old children using machine-learning algorithms
Yong-Hoon Yang, Ji-Soo Kim, Seung-Hwa Jeong
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| 8 |
Evaluation of Food Labeling Policy in Korea: Analyzing the Community Health Survey 2014–2017
Heui Sug Jo, Su Mi Jung
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| 9 |
Identification of High-risk Groups of Suicide from the Depressed Elderly using Decision Tree Analysis
Sehoon Hong, Dongwon Lee
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| 10 |
A pilot study using machine learning methods about factors influencing prognosis of dental implants
Seung-Ryong Ha, Hyun Sung Park, Eung-Hee Kim, Hong-Ki Kim, Jin-Yong Yang, Junyoung Heo, In-Sung Luke Yeo
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| 11 |
Prognostic Factors and Decision Tree for Long-Term Survival in Metastatic Uveal Melanoma
Daniel Lorenzo, María Ochoa, Josep Maria Piulats, Cristina Gutiérrez, Luis Arias, Jaume Català, María Grau, Judith Peñafiel, Estefanía Cobos, Pere Garcia-Bru, Marcos Javier Rubio, Noel Padrón-Pérez, Bruno Dias, Joan Pera, Josep Maria Caminal
Cancer Res Treat.2018;50(4):1130-1139. Published online 2017 December 4
DOI: http://dx.doi.org/10.4143/crt.2017.171
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| 12 |
Applying of Decision Tree Analysis to Risk Factors Associated with Pressure Ulcers in Long-Term Care Facilities
Mikyung Moon, Soo-Kyoung Lee
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| 13 |
Asian Ethnic Group Classification Model Using Data Mining
Yoon Geon Kim, Ji Hyun Lee, Sohee Cho, Moon Young Kim, Soong Deok Lee, Eun Ho Ha, Jae Joon Ahn
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| 14 |
Interpretation of Clinical Data Based on C4.5 Algorithm for the Diagnosis of Coronary Heart Disease
Wiharto Wiharto, Hari Kusnanto, Herianto Herianto
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| 15 |
Ultrasonographic Diagnosis of Biliary Atresia Based on a Decision-Making Tree Model
So Mi Lee, Jung-Eun Cheon, Young Hun Choi, Woo Sun Kim, Hyun-Hye Cho, In-One Kim, Sun Kyoung You
Korean J Radiol.2015;16(6):1364-1372. Published online 2015 October 26
DOI: http://dx.doi.org/10.3348/kjr.2015.16.6.1364
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| 16 |
Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree
Jaekwon Kim, Jongsik Lee, Youngho Lee
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| 17 |
Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis
Young-Ran Kweon, Se-Young Kim
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| 18 |
Identification of Subgroups with Lower Level of Stroke Knowledge Using Decision-tree Analysis
Hyun Kyung Kim, Seok Hee Jeong, Hyun Cheol Kang
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| 19 |
Knowledge Discovery in a Community Data Set: Malnutrition among the Elderly
Myonghwa Park, Hyeyoung Kim, Sun Kyung Kim
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| 20 |
Stratified Sampling Design Based on Data Mining
Yeonkook J. Kim, Yoonhwan Oh, Sunghoon Park, Sungzoon Cho, Hayoung Park
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