{"product_id":"advanced-machine-learning-for-complex-medical-data-analysis","title":"Advanced Machine Learning for Complex Medical Data Analysis","description":"\u003csection class=\"book-about\"\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eAdvanced Machine Learning for Complex Medical Data Analysis reads as a imaging or diagnostic reference built around case-based learning and public health. That gives it a clearer role than a general survey text.\u003c\/p\u003e\n\u003cp\u003eThe listing points toward workflow, implementation, or troubleshooting concerns, which makes the book more practical than purely theoretical.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eLearning Approach\u003c\/h2\u003e\n\u003cp\u003eA sensible reading path would start with case-based learning and public health, then branch into the sections that answer the reader’s immediate clinical or academic question.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eLikely Readers\u003c\/h2\u003e\n\u003cp\u003eThe natural reader is radiology trainees, imaging clinicians, sonographers, and diagnostic readers. A casual browser may miss the point; this is more useful when the buyer already has a course, rotation, certification, or clinical problem in mind.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eSubject Focus\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCase material supports applied clinical reasoning instead of only definition-based reading.\u003c\/li\u003e\n\u003cli\u003eImages, tracings, or visual examples appear to be part of how the material is taught.\u003c\/li\u003e\n\u003cli\u003eWorkflow, integration, or troubleshooting coverage gives the book practical value for operational settings.\u003c\/li\u003e\n\u003cli\u003eCase-based learning helps turn the material into active clinical reasoning.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eEditorial Notes\u003c\/h2\u003e\n\u003cp\u003eExpect practical density. The material is likely more useful beside a workflow problem, implementation task, or troubleshooting question than as a purely academic read.\u003c\/p\u003e\u003c\/section\u003e\u003c\/section\u003e\u003csection class=\"book-details\"\u003e\u003ch2\u003eBook Details\u003c\/h2\u003e\n\u003ctable class=\"book-details-table\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eAuthor\u003c\/th\u003e\n\u003ctd\u003eSaumendra Mohapatra, Mihir Mohanty, Rashmita Khilar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePublisher\u003c\/th\u003e\n\u003ctd\u003eBentham Science Publishers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePublication Date\u003c\/th\u003e\n\u003ctd\u003eMay 20, 2025\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eLanguage\u003c\/th\u003e\n\u003ctd\u003eEnglish\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePrint Length\u003c\/th\u003e\n\u003ctd\u003e314 pages\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eISBN-13\u003c\/th\u003e\n\u003ctd\u003e978-9815313383\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFormat\u003c\/th\u003e\n\u003ctd\u003eHardcover | Paperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/section\u003e","brand":"Bentham Science Publishers","offers":[{"title":"Hardcover","offer_id":49726469439747,"sku":"9789815313383-hardcover","price":65.0,"currency_code":"USD","in_stock":true},{"title":"Paperback","offer_id":49726469472515,"sku":"9789815313383-paperback","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0823\/3884\/0835\/files\/71-E91X_RwL.jpg?v=1790678034","url":"https:\/\/medlitx.com\/products\/advanced-machine-learning-for-complex-medical-data-analysis","provider":"MedLitx","version":"1.0","type":"link"}