[HTML][HTML] Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …
Missing data resilient decision-making for healthcare IoT through personalization:: A case study on maternal health
I Azimi, T Pahikkala, AM Rahmani, H Niela-Vilén… - 2019 - dl.acm.org
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …
[PDF][PDF] Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
I Azimi, T Pahikkala, AM Rahmani… - Future Generation …, 2019 - utupub.fi
abstract Remote health monitoring is an effective method to enable tracking of at-risk
patients outside of conventional clinical settings, providing early-detection of diseases and …
patients outside of conventional clinical settings, providing early-detection of diseases and …
[引用][C] Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
I Azimi, T Pahikkala, AM Rahmani… - Future Generation …, 2019 - cir.nii.ac.jp
Missing data resilient decision-making for healthcare IoT through personalization: A case
study on maternal health | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲ恁縖サイニィ …
study on maternal health | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲ恁縖サイニィ …
[PDF][PDF] Missing Data Resilient Decision-making for Healthcare IoT through Personalization: A Case Study on Maternal Health
I Azimi, T Pahikkala, AM Rahmani, H Niela-Vilén… - 2018 - e-tarjome.com
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
I Azimi, T Pahikkala, AM Rahmani… - … Journal of eScience, 2019 - repositum.tuwien.at
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …
[PDF][PDF] Missing Data Resilient Decision-making for Healthcare IoT through Personalization: A Case Study on Maternal Health
I Azimi, T Pahikkala, AM Rahmani, H Niela-Vilén… - researchgate.net
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …