Using AI-derived computerized techniques, we have modeled the large amount of online Reddit conversations exchanged among patients discussing around the prescriptions to take prenatal medical tests (both invasive and non-invasive). Our study has revealed that a patient’s decision to take a specific test (thus possibly suffering medical implications) might significantly have a direct causal influence on her general everyday mood. Preliminary experimental results achieved exploiting the Granger causality analysis technique are discussed at length.

Modeling Patients' Online Medical Conversations: A Granger Causality Approach / Giovanni Delnevo ; Marco Roccetti ; Silvia Mirri. - ELETTRONICO. - (2018), pp. 40-44. (Intervento presentato al convegno 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) tenutosi a Washington, DC, USA, USA nel 26-28 Sept. 2018) [10.1145/3278576.3278593].

Modeling Patients' Online Medical Conversations: A Granger Causality Approach

Giovanni Delnevo;Marco Roccetti;Silvia Mirri
2018

Abstract

Using AI-derived computerized techniques, we have modeled the large amount of online Reddit conversations exchanged among patients discussing around the prescriptions to take prenatal medical tests (both invasive and non-invasive). Our study has revealed that a patient’s decision to take a specific test (thus possibly suffering medical implications) might significantly have a direct causal influence on her general everyday mood. Preliminary experimental results achieved exploiting the Granger causality analysis technique are discussed at length.
2018
2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
40
44
Modeling Patients' Online Medical Conversations: A Granger Causality Approach / Giovanni Delnevo ; Marco Roccetti ; Silvia Mirri. - ELETTRONICO. - (2018), pp. 40-44. (Intervento presentato al convegno 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) tenutosi a Washington, DC, USA, USA nel 26-28 Sept. 2018) [10.1145/3278576.3278593].
Giovanni Delnevo ; Marco Roccetti ; Silvia Mirri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/675773
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