{"product_id":"applying-machine-learning-for-automated-classification-of-biomedical-data-in-subject-independent-settings-9783319986746","title":"Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings","description":"\u003cp\u003e • Author(s): Thuy T. Pham\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Engineering (General)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45273937510551,"sku":"9783319986746","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319986746.webp?v=1769238071","url":"https:\/\/atlanticbooks.com\/products\/applying-machine-learning-for-automated-classification-of-biomedical-data-in-subject-independent-settings-9783319986746","provider":"Atlantic Books","version":"1.0","type":"link"}