Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
NEWPAR: an automatic feature selection and weighting schema for category ranking
Proceedings of the 2006 ACM symposium on Document engineering
A multilingual and multiplatform application for medicinal plants prescription from medical symptoms
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A portable multilingual medical directory by automatic categorization of Wikipedia articles
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Computer Methods and Programs in Biomedicine
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This paper presents a real-world application for assisting medical diagnosis and drug prescription, which relies on the exclusive use of machine learning techniques. We have automatically processed an extensive biomedical literature to train a categorization algorithm in order to provide it with the capability of matching symptoms to MeSH descriptors. To interact with the classifier, we have developed a multilingual web interface so that professionals in medicine can easily get some help in their decisions about diagnoses (lookfordiagnosis.com) and prescriptions (lookfortherapy.com). We also demonstrate the effectiveness of this approach with a test set containing several hundreds of real clinical histories.