首页|Studies from Georgia Institute of Technology Add New Findings in the Area of Mac hine Learning (Physics-informed Transfer Learning To Enhance Sleep Staging)
Studies from Georgia Institute of Technology Add New Findings in the Area of Mac hine Learning (Physics-informed Transfer Learning To Enhance Sleep Staging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Atlanta, Georgia, by NewsRx jo urnalists, research stated, “At-home sleep staging using wearablemedical sensor s poses a viable alternative to in-hospital polysomnography due to its lower cos t and lowerdisruption to the daily lives of patients, especially in the case of long-term monitoring. Machine learningwith wearables however is difficult due to the paucity of data from wearable sensors, making automation achallenge.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesHospitalsMachine LearningGeorgia Institute of Technology
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