A Review on Lung Cancer Diagnosis Using Data Mining Algorithms
| Autor: | Marjan Kuchaki Rafsanjani, Farzad Heydari |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Lung Neoplasms 020205 medical informatics business.industry Cancer 02 engineering and technology Disease medicine.disease Data mining algorithm 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering medicine Data Mining Humans Radiology Nuclear Medicine and imaging Lung cancer business Intensive care medicine Lung Algorithms Early Detection of Cancer |
| Zdroj: | Current medical imaging. 17(1) |
| ISSN: | 1573-4056 |
| Popis: | Due to the serious consequences of lung cancer, medical associations use computer-aided diagnostic procedures to diagnose this disease more accurately. Despite the damaging effects of lung cancer on the body, the lifetime of cancer patients can be extended by early diagnosis. Data mining techniques are practical in diagnosing lung cancer in its first stages. This paper surveys a number of leading data mining-based cancer diagnosis approaches. Moreover, this review draws a comparison between data mining approaches in terms of selection criteria and presents the advantages and disadvantages of each method. |
| Databáze: | OpenAIRE |
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