Main Reference PaperLife Model: A novel representation of life-long temporal sequences in health predictive analytics, Future Generation Computer Systems, 2019 [Java/Python/R]
  • In order to forecast the anomalies in the healthcare analytics, the proposed Life Model (LM) based on the deep learning neural network exploits the intensity temporal sequence (ITS) tensors. It attempts to model the lifespan of each patients’ medical historical data in the form of a short, concise sequence.

+ Description
  • In order to forecast the anomalies in the healthcare analytics, the proposed Life Model (LM) based on the deep learning neural network exploits the intensity temporal sequence (ITS) tensors. It attempts to model the lifespan of each patients’ medical historical data in the form of a short, concise sequence.

  • To forecast the anomalies using the temporal data in the health care system

  • To forecast the mortality

+ Aim & Objectives
  • To forecast the anomalies using the temporal data in the health care system

  • To forecast the mortality

  • To create the explainable temporal sequence prediction model to improve the health care system.

+ Contribution
  • To create the explainable temporal sequence prediction model to improve the health care system.

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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