Results 51 to 60 of about 501,868 (357)

Capturing knowledge of user preferences with recommender systems [PDF]

, 2003
Capturing user preferences is a problematic task. Simply asking the users what they want is too intrusive and prone to error, yet monitoring behaviour unobtrusively and finding meaningful patterns is both difficult and computationally time consuming ...
Middleton, Stuart Edward, Middleton, Stuart, Stuart Edward Middleton   +2 more
core  

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

From Idea Crowdsourcing to Managing User Knowledge [PDF]

Technology Innovation Management Review, 2013
This article explores how technology companies can benefit from user knowledge in product and service innovation beyond mere idea generation through crowdsourcing.
Risto Rajala, Mika Westerlund, Mervi Vuori, Jukka-Pekka Hares   +3 more
doaj  

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Design and Evaluation of a Prototype User Interface Supporting Sharing of Search Knowledge in Information Retrieval [PDF]

, 2005
This paper describes a prototype user interface system, CIRR tool, which allows searchers to share their relevance judgments, search queries, and search results by providing a system Task Console with a “Group Report” feature.
Li, Yuelin, Jewell, Sarah, Zhang, Xiangmin   +2 more
core  

Supporting Survivor‐Centered Care Through Digital Health Integration

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak, Rebecca Williamson‐Lewis, Michael O'Connor, Michael Palgon, Yu‐Ra Kim, Michael Schuckenbrock, Paula Edwards, Abraham Mendoza, Anthony Adams, Brian Arriaga‐Solis, Justin Parker, Harry Tinoco‐Giraldo, Jason King, C. Michael Fordis, Karen E. Effinger, Maria Monica Gramatges   +15 more
wiley   +1 more source

Ontological User Profiling in Recommender Systems

, 2004
We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers.
David C. De Roure, Middleton, SE, De Roure, D.C., Middleton, Stuart, Stuart E. Middleton, Roure, DD, Shadbolt, N.R., Nigel R. Shadbolt, Shadbolt, N   +8 more
core   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

Cognitive Impairments in Parkinson’s Disease: Professional Support and Unmet Rehabilitation Needs in Patients with and without Self-Reported Cognitive Impairments—A Secondary Analysis

Journal of Ageing and Longevity
Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease after Alzheimer’s disease. Cognitive impairments are frequent non-motor symptoms in PD and have a significant impact on everyday life and well-being.
Jette Thuesen, Tina Broby Mikkelsen, Knud Juel, Tina Backmann, Kristian Winge, Eva Ejlersen Wæhrens   +5 more
doaj   +1 more source

Recommendation Algorithm Based on Knowledge Graph to Propagate User Preference

International Journal of Computational Intelligence Systems, 2021
In recommendation algorithms, data sparsity and cold start problems are inevitable. To solve such problems, researchers apply auxiliary information to recommendation algorithms, mine users’ historical records to obtain more potential information, and ...
Zhisheng Yang, Jinyong Cheng
doaj   +1 more source