Tag Archives: patients

Geisinger, IBM develop predictive model to identify at-risk sepsis patients

Geisinger has teamed with Big Blue to better diagnose and treat patients with sepsis, a potentially life-threatening condition, using machine learning. By leveraging de-identified electronic health record data for more than 10,500 sepsis patients, Geisinger and IBM scientists developed a model to predict mortality by identifying “descriptive and clinical features,” such as age, prior cancer… Read More »

Smart devices are moving from fitness tracking to monitoring patients with chronic illnesses

 verbaska_studio | Getty Images The first generation of wearable devices, like smartwatches and activity trackers, were aimed at helping generally healthy people track their physical activity. Now, the medical industry is looking for ways to use smart gadgets to monitor patients with chronic illnesses. Keeping track of patients after they go home is increasingly important… Read More »