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Enhancing the patient involvement in outcomes: a study protocol of personalised outcome measurement in the treatment of substance misuse

Paula CG Alves, Célia MD Sales, Mark Ashworth
2013 BMC Psychiatry  
Acknowledgments The authors would like to thank all members of the International Exchange Platform on Personalising Addiction Treatment for their contribution to the project, in particular, Professor John  ...  No extra funding has been received for the implementation of the project, including data collection, analysis and interpretation of data.  ...  All these units provide assessment, treatment and advice for addiction-related problems.  ... 
doi:10.1186/1471-244x-13-337 pmid:24341378 pmcid:PMC3878675 fatcat:zohpikztmnbwrgbun4svoggbpa

EduCOR: An Educational and Career-Oriented Recommendation Ontology [chapter]

Eleni Ilkou, Hasan Abu-Rasheed, Mohammadreza Tavakoli, Sherzod Hakimov, Gábor Kismihók, Sören Auer, Wolfgang Nejdl
2021 Lecture Notes in Computer Science  
We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems.  ...  The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user's learning goals and preferences, academic and psychological parameters  ...  Javad Chamanara for setting up the ontology page.  ... 
doi:10.1007/978-3-030-88361-4_32 fatcat:4c7dkvab7jbu3fcqqs7orx22d4

Using ratings to profile your health

Neal Lathia
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
We describe the application's design and the personalised health insights it provides (and, particularly, why recommendations were not designed as a means for self-diagnosis).  ...  The widespread adoption of mobile technology allows personalised applications to be deployed in an increasing host of contexts; user modelling, profiling, and personalised recommendations are becoming  ...  about the user's health; we designed an application for experience sampling [5] with personalised feedback.  ... 
doi:10.1145/2365952.2366024 dblp:conf/recsys/Lathia12 fatcat:yyuh5eeczbfxhda7sddwzwhlk4

Empowering consumers to PREVENT diet-related diseases through OMICS sciences (PREVENTOMICS): protocol for a parallel double-blinded randomised intervention trial to investigate biomarker-based nutrition plans for weight loss

Mona Adnan Aldubayan, Kristina Pigsborg, Sophia M O Gormsen, Francisca Serra, Mariona Palou, Pedro Mena, Mart Wetzels, Alberto Calleja, Antoni Caimari, Josep Del Bas, Biotza Gutierrez, Faidon Magkos (+1 others)
2022 BMJ Open  
The current study aims to examine whether a personalised nutritional plan produces more favourable health outcomes than a standard approach based on general dietary recommendations in subjects with overweight  ...  plan group that will receive cluster-specific meals every day for 6 days a week, in conjunction with a personalised behavioural change programme via electronic push notifications; or (2) control group  ...  will be assessed by post hoc analysis. ► Potential long-term effects of a personalised approach cannot be evaluated from this 10-week study; however, results will provide a basis for implementation in  ... 
doi:10.1136/bmjopen-2021-051285 pmid:35351696 pmcid:PMC8966553 fatcat:rzwvxkhs65e3deiomffm3r73ge

EduCOR: An Educational and Career-Oriented Recommendation Ontology [article]

Eleni Ilkou, Hasan Abu-Rasheed, Mohammadreza Tavakoli, Sherzod Hakimov, Gábor Kismihók, Sören Auer, Wolfgang Nejdl
2021 arXiv   pre-print
We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems.  ...  The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user's learning goals, academic and psychological parameters, and the labour-market  ...  Javad Chamanara for setting up the ontology page.  ... 
arXiv:2107.05522v2 fatcat:atzyp72g25fphhzvoaeayqujsa

You can't see what you can't see: Experimental evidence for how much relevant information may be missed due to Google's Web search personalisation [article]

Cameron Lai, Markus Luczak-Roesch
2019 arXiv   pre-print
Most significantly, we provide empirical evidence that up to 20% of relevant information may be missed due to Web search personalisation.  ...  This work has significant implications for Web research by public sector professionals, who should be provided with training about the potential algorithmic biases that may affect their judgments and decision  ...  For each unpersonalised result set (i.e. unpersonalised search 1 and unpersonalised search 2), we computed the proportion of URIs self-assessed as relevant that were not in the respective personalised  ... 
arXiv:1904.13022v2 fatcat:6uq4ta7nmba3dd5ytlie4qkeaq

Feasibility and acceptability of personalised breast cancer screening (DECIDO study): protocol of a single-arm proof-of-concept trial

Anna Pons-Rodriguez, Carles Forné Izquierdo, Jordi Vilaplana-Mayoral, Inés Cruz-Esteve, Isabel Sánchez-López, Mercè Reñé-Reñé, Cristina Cazorla, Marta Hernández-Andreu, Gisela Galindo-Ortego, Montserrat Llorens Gabandé, Celmira Laza-Vásquez, Pau Balaguer-Llaquet (+2 others)
2020 BMJ Open  
The study intervention consists of (1) a baseline visit; (2) breast cancer risk estimation; (3) a second visit for risk communication and screening recommendations based on breast cancer risk and (4) a  ...  The objective of the DECIDO study is to assess the acceptability and feasibility of offering risk-based personalised breast cancer screening and its integration in regular clinical practice in a National  ...  with uninformative genetic testing results; (2) being risk modifiers for those with pathogenic variants in high and moderate risk genes and (3) providing personalised risk assessments and risk management  ... 
doi:10.1136/bmjopen-2020-044597 pmid:33361170 pmcid:PMC7759966 fatcat:hk2v2skojrhrbfdpa6hwrrtvwq

Inter-individual differences in response to dietary intervention: integrating omics platforms towards personalised dietary recommendations

Johanna W. Lampe, Sandi L. Navarro, Meredith A. J. Hullar, Ali Shojaie
2013 Proceedings of the Nutrition Society  
The ultimate goal is to be able to integrate these multi-dimensional data so as to characterise the health status and disease risk of an individual and to provide personalised recommendations to maximise  ...  The ultimate goal would be to integrate these multi-dimensional data so as to characterise the health status and disease risk of an individual and to provide personalised dietary recommendations to maximise  ...  The concept of a 'nutritional phenotype', i.e. an integrated set of genetic, proteomic, metabolomic, functional and behavioural factors that, when measured, could provide the basis for assessment of human  ... 
doi:10.1017/s0029665113000025 pmid:23388096 pmcid:PMC3694579 fatcat:bfuotxsfkfdmjdbkxelhro3mhu

Investigating the use of Personalised Medicine in Cancer Trials – an Update

K.A. Hamilton, T. Wilson
2014 Value in Health  
Agency for Health Technology Assessment in Poland (AOTM), Warsaw, Poland objeCtives: To analyse HTA recommendations for cancer drug technologies issued by Agency for Health Technology Assessment (AHTAPol  ...  Nevertheless, the CDF does provide a formal mechanism under which reimbursement can be provided for off-label use of cancer drugs, which NICE will not consider.  ... 
doi:10.1016/j.jval.2014.08.2419 pmid:27202401 fatcat:r5z7by372bb7tku63tj2mluxhu

Application of Threshold Value for Cost-Effectiveness in Recommendations Issued by Agency for Health Technology Assessment in Poland for Cancer Drug Technologies

A. Zawodnik, W. Matusewicz
2014 Value in Health  
Agency for Health Technology Assessment in Poland (AOTM), Warsaw, Poland objeCtives: To analyse HTA recommendations for cancer drug technologies issued by Agency for Health Technology Assessment (AHTAPol  ...  Nevertheless, the CDF does provide a formal mechanism under which reimbursement can be provided for off-label use of cancer drugs, which NICE will not consider.  ... 
doi:10.1016/j.jval.2014.08.2416 pmid:27202398 fatcat:oxgsnwidtvevvg4kdsgadlbm74

Diversifying contextual suggestions from location-based social networks

M-Dyaa Albakour, Romain Deveaud, Craig Macdonald, Iadh Ounis
2014 Proceedings of the 5th Information Interaction in Context Symposium on - IIiX '14  
The aim of this task is to make personalised recommendations of venues for entertainments or activities whilst visiting a city, by appropriately representing the context of the user, such as their location  ...  the recommended venues in the sense that they should cover various categories of interest to the given user.  ...  A MODEL FOR CONTEXTUAL SUGGES-TION In this section, we describe our general approach for providing personalised venue recommendations given that we know the explicit interests of the user.  ... 
doi:10.1145/2637002.2637018 dblp:conf/iiix/AlbakourDMO14 fatcat:cgyz6zpmcba6xn6rjg6a2ramjm

An act of defiance? Measuring farmer deviation from personalised extension recommendations in Zambia

Justice A. Tambo, Mathews Matimelo
2021 Journal of Agricultural Economics  
This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited  ...  As with the results for maize yields, we find that the treatment effect is greater for plant clinic users who adopt the full set of recommendations provided by plant doctors.  ...  | R E SU LT S A N D DI SC US SION | Deviations from IPM recommendations Table 2 compares the personalised IPM recommendations made by plant doctors to the sample clinic users for the management  ... 
doi:10.1111/1477-9552.12455 fatcat:g7wpsgibyzbufgesy3hrwzxrbi

Measuring the Impact of Online Personalisation: Past, Present and Future

Markus Zanker, Laurens Rook, Dietmar Jannach
2019 International Journal of Human-Computer Studies  
theoretical underpinnings for the observed effects.  ...  and provide a perspective on future developments. 1.  ...  rates: The CTR is not always the right proxy for assessing the true relevance of recommended and clicked items.  ... 
doi:10.1016/j.ijhcs.2019.06.006 fatcat:kxogldx4cfbufnzr56e6icfria

The Feasibility and Preliminary Efficacy of an eHealth Lifestyle Program in Women with Recent Gestational Diabetes Mellitus: A Pilot Study

Megan E. Rollo, Jennifer N. Baldwin, Melinda Hutchesson, Elroy J. Aguiar, Katie Wynne, Ashley Young, Robin Callister, Rebecca Haslam, Clare E. Collins
2020 International Journal of Environmental Research and Public Health  
Self-administered eHealth interventions provide a potential low-cost solution for reducing diabetes risk.  ...  The majority of women (82% at 3 months and 87% at 6 months) in the high personalisation group would recommend the program to other women with GDM.  ...  Acknowledgments: The authors thank the study participants for their involvement; D.C., R.Z., C.C., F.S. and G.M. for their assistance with various components of study management; and K.C. for statistical  ... 
doi:10.3390/ijerph17197115 pmid:32998401 pmcid:PMC7579575 fatcat:m5zmnyerejebxhke5eyxbjctde

Personalised Risk Prediction in Hereditary Breast and Ovarian Cancer: A Protocol for a Multi-Centre Randomised Controlled Trial

Stephanie Archer, Nichola Fennell, Ellen Colvin, Rozelle Laquindanum, Meredith Mills, Romy Dennis, Francisca Stutzin Donoso, Rochelle Gold, Alice Fan, Kate Downes, James Ford, Antonis C. Antoniou (+3 others)
2022 Cancers  
This study will also assess the acceptability, feasibility and cost-effectiveness of using personalised risk estimates in clinical care.  ...  Broad, non-personalised risk estimates may be problematic for women when they are considering how to manage their risk.  ...  See Figure 1 , for an overview of the study design. Intervention (Personalised Risk Calculation) Personalised risk calculations will be provided by the CanRisk tool (www.canrisk.org).  ... 
doi:10.3390/cancers14112716 pmid:35681696 pmcid:PMC9179465 fatcat:5dxamedfjfbljkitrujuahpxha
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