Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Radha Chitta"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S6, Pp 1-13 (2019)
Abstract Background Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction appr
Externí odkaz:
https://doaj.org/article/b1821723892e46608bc9d9b446982882
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 19, Iss S6, Pp 1-13 (2019)
BMC Medical Informatics and Decision Making, Vol 19, Iss S6, Pp 1-13 (2019)
Background Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction approaches ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e6bd4ce31549c5b0961a66d1670bc4
https://doi.org/10.1186/s12911-019-0961-2
https://doi.org/10.1186/s12911-019-0961-2
Autor:
Radha Chitta, Alexander K. Hudek
Publikováno v:
ICAIL
The problem of answering multiple choice questions, based on the content of documents has been studied extensively in the machine learning literature. We pose the due diligence problem, where lawyers study legal contracts and assess the risk in poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12693c150525b9d57d78889d527dd7c3
https://doi.org/10.1145/3322640.3326711
https://doi.org/10.1145/3322640.3326711
Publikováno v:
BIBM
Diagnosis prediction aims to predict the future health status of patients according to their historical visit records, which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction approaches mainly employ recurr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee436ed15857804e54752ac405d1072
https://doi.org/10.1109/bibm.2018.8621395
https://doi.org/10.1109/bibm.2018.8621395
Publikováno v:
CIKM
The goal of diagnosis prediction task is to predict the future health information of patients from their historical Electronic Healthcare Records (EHR). The most important and challenging problem of diagnosis prediction is to design an accurate, robu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9becb67305c4978b2d1d6615a39fdd7
https://doi.org/10.1145/3269206.3271701
https://doi.org/10.1145/3269206.3271701
Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task in the development of personalized healthcare. Patient EHR data consist of sequences of visits over time, where each visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6fc28bb1ce19405a6679a768ad22eb8
http://arxiv.org/abs/1706.05764
http://arxiv.org/abs/1706.05764
Autor:
Palghat S. Ramesh, Edgar A. Bernal, Jiebo Luo, Radha Chitta, Sriganesh Madhvanath, Xitong Yang
Publikováno v:
CVPR
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. When the available modalities consist of time series data such as video,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf25e144ce20e62fb85359751d2598fc
http://arxiv.org/abs/1704.03152
http://arxiv.org/abs/1704.03152
Publikováno v:
Handbook of Cluster Analysis ISBN: 9780429185472
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a076d0f78caf0747d8e3999fededea9
https://doi.org/10.1201/b19706-26
https://doi.org/10.1201/b19706-26
Autor:
Radha Chitta, M. Narasimha Murty
Publikováno v:
Pattern Recognition. 43:796-804
Partitional clustering algorithms, which partition the dataset into a pre-defined number of clusters, can be broadly classified into two types: algorithms which explicitly take the number of clusters as input and algorithms that take the expected siz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::804e360c2e1c5acbabce60d54dbfcdd7
https://doi.org/10.1016/j.patcog.2009.09.019
https://doi.org/10.1016/j.patcog.2009.09.019
Publikováno v:
ICDM Workshops
Stream clustering methods, which group continuous, temporally ordered dynamic data instances, have been used in a number of applications such as stock market analysis, network analysis, and cosmological analysis. Most of the popular stream clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698adfb2c3ff09f6f1bf577d0caad9a5
https://doi.org/10.1109/icdmw.2015.31
https://doi.org/10.1109/icdmw.2015.31