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– Geisinger/IBM’s AI and Data Science team are working together to prevent sepsis, life-threating infection through early detection and research. – Geisinger team used IBM Watson Studio open-source tools to build a predictive model that would ingest clinical data from thousands of de-identified sepsis patients spanning a decade. – Geisinger uses IBM Watson Explorer to ... Read More
Original Article: Geisinger, IBM Develops Predictive Model Using EHR Data to Detect SepsisNEXT ARTICLE
Antiretroviral Therapy Clostridium Difficile Ebola HIV & AIDS Infectious Diseases Influenza Malaria Measles Sepsis Swine Flu Tropical Medicine Tuberculosis Infectious diseases are caused by pathogenic...
Sepsis, septicaemia and blood poisoning
Septicaemia (another name for blood poisoning) refers to a bacterial infection of the blood, whereas sepsis can also be caused by viral or fungal infections. Sepsis is not just limited to the blood and can affect the whole body, including the organ...