*Tid:* **18 mars 2014 kl 15.15-16.00.**
**Seminarierummet 3733**, Institutionen för
matematik, KTH, Lindstedtsvägen 25, plan 7.
Karta!
*Föredragshållare:*
**
Jesper Loso
**
**Titel:**
Forecasting of Self-Rated Health Using Hidden Markov Algorithm (Master Thesis)
**Abstract**
In this thesis a model for predicting a person’s monthly average of
self-rated health the following month was developed. It was based on
statistics from a form constructed by HealthWatch. The model used is
a Hidden Markov Algorithm based on Hidden Markov Models where the
hidden part is the future value of self-rated health. The emissions were
based on five of the eleven questions that make the HealthWatch form.
The questions are answered on a scale from zero to one hundred. The
model predicts in which of three intervals of SRH the responder most
likely will answer on average during the following month. The final model
has an accuracy of 80 %.
The full report (pdf)
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