AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures.

Kaushik, Shruti; Choudhury, Abhinav; Sheron, Pankaj Kumar; Dasgupta, Nataraj; Natarajan, Sayee; Pickett, Larry A; Dutt, Varun

Kaushik, Shruti; Choudhury, Abhinav; Sheron, Pankaj Kumar; Dasgupta, Nataraj; Natarajan, Sayee; Pickett, Larry A; Dutt, Varun.

Afiliação

Kaushik S; Applied Cognitive Science Laboratory, Indian Institute of Technology Mandi, Mandi, India.
Choudhury A; Applied Cognitive Science Laboratory, Indian Institute of Technology Mandi, Mandi, India.
Sheron PK; Applied Cognitive Science Laboratory, Indian Institute of Technology Mandi, Mandi, India.
Dasgupta N; RxDataScience, Inc., Durham, NC, United States.
Natarajan S; RxDataScience, Inc., Durham, NC, United States.
Pickett LA; RxDataScience, Inc., Durham, NC, United States.
Dutt V; Applied Cognitive Science Laboratory, Indian Institute of Technology Mandi, Mandi, India.

Front Big Data ; 3: 4, 2020.

Article em En | MEDLINE | ID: mdl-33693379

Palavras-chave

autoregressive integrated moving average (ARIMA); ensemble; long short-term memory (LSTM); medicine expenditures; multilayer perceptron (MLP); neural networks; persistence; time-series forecasting

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Big Data Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Índia País de publicação: Suíça

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