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Analyzing Patient Interactions within Cancer Support Groups PowerPoint Presentation
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Analyzing Patient Interactions within Cancer Support Groups

Analyzing Patient Interactions within Cancer Support Groups

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Analyzing Patient Interactions within Cancer Support Groups

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  1. Analyzing Patient Interactions within Cancer Support Groups Zhenghao Chen, Pang Wei Koh Together with: Marc Rasi, SuchiSaria, Daphne Koller Katy Plant, Philip Ritter and Kate Lorig

  2. Cancer • Leading cause of death in the developed world • Treatment: • Chemotherapy • Surgery • Radiotherapy • Threat of recurrence • Management of cancer survivors is important very debilitating!

  3. Traditional Peer Support Groups

  4. Online Peer Support Groups

  5. Some Questions • Do online support groups work? • Can we discover better clinical practices? • Can we predict health outcomes more accurately?

  6. Sentiment Trends

  7. Sentiment-Topic Association • cancer treatment years year breast chemo back recurrence months treatments pain diagnosis diagnosed oncologist ll finished dx told doctor • side therapy scan don blood scars lymphedema radiation onc scar eects arm surgeon results physical reconstruction follow doctor pain • love kids year mom cat joy dogs years cats husband son home watching funny place sound house christmas watch

  8. Sentiment-Topic Association • sleep bed night work hours sleeping nights stressed trouble earlier early late schedule tired morning ready music problems times • plan action week peggy great days tools plans specific make session exercise walking confidence level completing time good complete

  9. Outcome Prediction

  10. Conclusion • Data from online groups is plentiful and untapped • It seems to work even with a small dataset • Scaling up might help us improve clinical outcomes for cancer patients