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- De Silva, Daswin, et al.
(författare)
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Machine learning to support social media empowered patients in cancer care and cancer treatment decisions
- 2018
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Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 13:10
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUNDA primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journeys. Machine learning and natural language processing techniques can be applied to these large volumes of unstructured text discussions accumulated in OSG for intelligent extraction of patient-reported demographics, behaviours, decisions, treatment, side effects and expressions of emotions. New insights from the fusion and synthesis of such diverse patient-reported information, as expressed throughout the patient journey from diagnosis to treatment and recovery, can contribute towards informed decision-making on personalized healthcare delivery and the development of healthcare policy guidelines.METHODS AND FINDINGSWe have designed and developed an artificial intelligence based analytics framework using machine learning and natural language processing techniques for intelligent analysis and automated aggregation of patient information and interaction trajectories in online support groups. Alongside the social interactions aspect, patient behaviours, decisions, demographics, clinical factors, emotions, as subsequently expressed over time, are extracted and analysed. More specifically, we utilised this platform to investigate the impact of online social influences on the intimate decision scenario of selecting a treatment type, recovery after treatment, side effects and emotions expressed over time, using prostate cancer as a model. Results manifest the three major decision-making behaviours among patients, Paternalistic group, Autonomous group and Shared group. Furthermore, each group demonstrated diverse behaviours in post-decision discussions on clinical outcomes, advice and expressions of emotion during the twelve months following treatment. Over time, the transition of patients from information and emotional support seeking behaviours to providers of information and emotional support to other patients was also observed.CONCLUSIONSFindings from this study are a rigorous indication of the expectations of social media empowered patients, their potential for individualised decision-making, clinical and emotional needs. The increasing popularity of OSG further confirms that it is timely for clinicians to consider patient voices as expressed in OSG. We have successfully demonstrated that the proposed platform can be utilised to investigate, analyse and derive actionable insights from patient-reported information on prostate cancer, in support of patient focused healthcare delivery. The platform can be extended and applied just as effectively to any other medical condition.
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| 3. |
- Lawrentschuk, Nathan, et al.
(författare)
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Prevention and Management of Complications Following Radical Cystectomy for Bladder Cancer
- 2010
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Ingår i: European Urology. - : Elsevier BV. - 1873-7560 .- 0302-2838. ; 57:6, s. 983-1001
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Tidskriftsartikel (refereegranskat)abstract
- Context: This review focuses on the prevention and management of complications following radical cystectomy (RC) for bladder cancer (BCa). Objective: We review the current literature and perform an analysis of the frequency, treatment, and prevention of complications related to RC for BCa. Evidence acquisition: A Medline search was conducted to identify original articles, reviews, and editorials addressing the relationship between RC and short- and long-term complications. Series examined were published within the past decade. Large series reported on multiple occasions (Lee [1], Meyer [2], and Chang and Cookson [3]) with the same cohorts are recorded only once. Quality of life (QoL) and sexual function were excluded. Evidence synthesis: The literature regarding prophylaxis, prevention, and treatment of complications of RC in general is retrospective, not standardised. In general, it is of poor quality when it comes to evidence and is thus difficult to synthesise. Conclusions: Progress has been made in reducing mortality and preventing complications of RC. Postoperative morbidity remains high, partly because of the complexity of the procedures. The issues of surgical volume and standardised prospective reporting of RC morbidity to create evidence-based guidelines are essential for further reducing morbidity and improving patients' QoL. (C) 2010 European Association of Urology. Published by Elsevier B. V. All rights reserved.
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