DATA SAMPLING METHODS FOR IMBALANCED CLASSIFICATION: A RANDOM FOREST STUDY FOR PREDICTING TREATMENT SWITCHING IN MULTIPLE SCLEROSIS

被引：0

作者：

Li, J. ^{[1
]}

Huang, Y. ^{[1
]}

Aparasu, R. R. ^{[1
]}

机构：

[1] Univ Houston, Coll Pharm, Houston, TX 77030 USA

来源：

VALUE IN HEALTH | 2022年 / 25卷 / 07期

关键词：

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

MSR32

引用

页码：S524 / S524

页数：1

共 50 条

[21] Research on the Classification of High Dimensional Imbalanced Data Based on the Optimizational Random Forest Algorithm [J].

Bo, Su .

PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2017, :228-231

[22] Performance enrichment through parameter tuning of random forest classification for imbalanced data applications [J].

More, Anjali S. ;

Rana, Dipti P. .

MATERIALS TODAY-PROCEEDINGS, 2022, 56 :3585-3593

[23] Handling Imbalanced Data in Customer Churn Prediction Using Combined Sampling and Weighted Random Forest [J].

Effendy, Veronikha ;

Adiwijaya ;

Baizal, Z. K. A. .

2014 2ND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2014,

[24] Cluster-based Under-sampling with Random Forest for Multi-Class Imbalanced Classification [J].

Arafat, Md. Yasir ;

Hoque, Sabera ;

Farid, Dewan Md. .

2017 11TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA), 2017,

[25] Advanced EOR screening methodology based on LightGBM and random forest: A classification problem with imbalanced data [J].

Seyyedattar, Masoud ;

Afshar, Majid ;

Zendehboudi, Sohrab ;

Butt, Stephen .

CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2025, 103 (02) :846-867

[26] An Optimized Random Forest Classification Method for Processing Imbalanced Data Sets of Alzheimer's Disease [J].

Sun, Haijing ;

Wang, Anna ;

Feng, Yun ;

Liu, Chen .

PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, :1670-1673

[27] Multi-class random forest model to classify wastewater treatment imbalanced data [J].

Distefano, Veronica ;

Palma, Monica ;

De Iaco, Sandra .

SOCIO-ECONOMIC PLANNING SCIENCES, 2024, 95

[28] Predictors of treatment switching in the Big Multiple Sclerosis Data Network [J].

Spelman, Tim ;

Magyari, Melinda ;

Butzkueven, Helmut ;

van der Walt, Anneke ;

Vukusic, Sandra ;

Trojano, Maria ;

Iaffaldano, Pietro ;

Horakova, Dana ;

Drahota, Jiri ;

Pellegrini, Fabio ;

Hyde, Robert ;

Duquette, Pierre ;

Lechner-Scott, Jeannette ;

Sajedi, Seyed Aidin ;

Lalive, Patrice ;

Shaygannejad, Vahid ;

Ozakbas, Serkan ;

Eichau, Sara ;

Alroughani, Raed ;

Terzi, Murat ;

Girard, Marc ;

Kalincik, Tomas ;

Grand'Maison, Francois ;

Skibina, Olga ;

Khoury, Samia J. ;

Yamout, Bassem ;

Sa, Maria Jose ;

Gerlach, Oliver ;

Blanco, Yolanda ;

Karabudak, Rana ;

Oreja-Guevara, Celia ;

Altintas, Ayse ;

Hughes, Stella ;

Mccombe, Pamela ;

Ampapa, Radek ;

de Gans, Koen ;

Mcguigan, Chris ;

Soysal, Aysun ;

Prevost, Julie ;

John, Nevin ;

Inshasi, Jihad ;

Stawiarz, Leszek ;

Manouchehrinia, Ali ;

Forsberg, Lars ;

Sellebjerg, Finn ;

Glaser, Anna ;

Pontieri, Luigi ;

Joensen, Hanna ;

Rasmussen, Peter Vestergaard ;

Sejbaek, Tobias .

FRONTIERS IN NEUROLOGY, 2023, 14

[29] Classification of Travel Data with Multiple Sensor Information using Random Forest [J].

Shafique, Muhammad Awais ;

Hato, Eiji .

19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016), 2017, 22 :144-153

[30] Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data [J].

Muchlinski, David ;

Siroky, David ;

He, Jingrui ;

Kocher, Matthew .

POLITICAL ANALYSIS, 2016, 24 (01) :87-103

← 1 2 3 4 5 →