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Feature learning refers to a set of techniques within machine learning that asks machines to automatically identify features within raw data as opposed to the features being explicitly labeled[8]. This technique enables machines to learn features and infer functions between inputs and outputs without being provided the features in advance. A subset of feature learning is deep learning, which harnesses neural networks modeled after the biological nervous system of animals. Deep learning is especially valuable in clinical medicine because medical data often consist of unstructured text, images, and videos that are not easily processed into explicit features.

The department is comprised of a group of physicians, advanced practice providers, and researchers dedicated to promoting the development of oncologic emergency medicine as a distinct discipline.The department's mission focuses on the discovery and application of time-critical diagnostics, decision-making and treatments that save lives, reduction of patient disability and restoration of health among persons with cancer.

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_OC_InitNavbar("child_node":["title":"My library","url":" =114584440181414684107\u0026source=gbs_lp_bookshelf_list","id":"my_library","collapsed":true,"title":"My History","url":"","id":"my_history","collapsed":true],"highlighted_node_id":"");Manual of Practical MedicineR AlagappanJP Medical Ltd, Aug 31, 2014 - Medical - 1016 pagesInternal or practical medicine is the medical specialty dedicated to the diagnosis and medical treatment of adult diseases. A physician who specialises in practical medicine is referred to as an internist. Subspecialties of internal medicine include allergy and immunology, cardiology, endocrinology, haematology, infectious diseases, gastroenterology, nephrology, oncology, pulmonology, and rheumatology (MedicineNet.com).

Beginning with an introduction to internal medicine, each of the following chapters is dedicated to an anatomical region of the body and associated disorders. Each disease is presented in an easy to follow format, describing the causes, clinical features, investigations and management.

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