首页|Studies in the Area of Machine Learning Reported from First Affiliated Hospital (A machine learning-based hybrid recommender framework for smart medical systems )
Studies in the Area of Machine Learning Reported from First Affiliated Hospital (A machine learning-based hybrid recommender framework for smart medical systems )
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting from Xi'an, People's Republi c of China, by NewsRx journalists, research stated, "This article presents a hyb rid recommender framework for smart medical systems by introducing two methods t o improve service level evaluations and doctor recommendations for patients." Our news correspondents obtained a quote from the research from First Affiliated Hospital: "The first method uses big data techniques and deep learning algorith ms to develop a registration review system in medical institutions. This system outperforms conventional evaluation methods, thus achieving higher accuracy. The second method implements the term frequency and inverse document frequency (TF- IDF) algorithm to construct a model based on the patient's symptom vector space, incorporating score weighting, modified cosine similarity, and K-means clusteri ng."
First Affiliated HospitalXi'anPeople 's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
