Results 71 to 80 of about 2,209 (219)

Reproductive outcomes in women with Hodgkin's lymphoma in a Danish fertility preservation cohort

open access: yesActa Obstetricia et Gynecologica Scandinavica, EarlyView.
The risk of premature ovarian insufficiency increases with the intensity of alkylating chemotherapy. In general, fertility outcomes were favorable, but chances of live birth decreased with increased intensity of alkylating chemotherapy. Ovarian tissue transplantation enabled natural conception in women with premature ovarian insufficiency, supporting ...
Lotte Berdiin Colmorn   +4 more
wiley   +1 more source

Personalized ranking metric embedding for next new POI recommendation [PDF]

open access: yes, 2015
The rapidly growing of Location-based Social Networks (LBSNs) provides a vast amount of check-in data, which enables many services, e.g., point-of-interest (POI) recommendation. In this paper, we study the next new POI recommendation problem in which new
Feng, Shanshan   +4 more
core   +1 more source

Update on Menopause Hormone Therapy; Current Indications and Unanswered Questions

open access: yesClinical Endocrinology, EarlyView.
ABSTRACT Objective To provide clinicians involved in managing menopause with a summary of current evidence surrounding menopause hormone therapy (MHT). Design The authors evaluate and synthesize existing pooled evidence relating to MHT's clinical indications, efficacy, and safety and explore the limitations of existing data. Patients The review focuses
Annice Mukherjee, Susan R. Davis
wiley   +1 more source

Personalized Short-Term and Periodic Long-Term Preferences Modeling With Contrastive Learning for Next POI Recommendation

open access: yes
Next point-of-interest (POI) recommendation plays a crucial role in enhancing user travel experiences and driving platform revenues by suggesting potentially appealing locations to users.
Cai, Taotao   +4 more
core   +1 more source

Spatiotemporal Representation Learning for Translation-Based POI Recommendation

open access: yes, 2019
The increasing proliferation of location-based social networks brings about a huge volume of user check-in data, which facilitates the recommendation of points of interest (POIs).
Liu, Bei   +3 more
core   +2 more sources

Instrumentos que avaliam a mobilidade de crianças e adolescentes com transtorno do espectro autista: Uma revisão sistemática e mapa de decisão

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Objetivos Identificar os instrumentos padronizados usados para avaliar aspectos de mobilidade em crianças e adolescentes com transtorno do espectro autista (TEA), analisar a qualidade de suas propriedades psicométricas e seu nível de evidência, e desenvolver um mapa de decisão clínica para esses instrumentos.
Arthur Felipe Barroso de Lima   +4 more
wiley   +1 more source

Learning graph-based POI embedding for location-based recommendation

open access: yes, 2016
With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-based social networks (LB-SNs), location-based recommendation has become an important means to help people discover attractive and interesting points of interest
Xie, Min   +11 more
core   +1 more source

Deep Potential Geo-Social Relationship Mining for Point-of-Interest Recommendation

open access: yesIEEE Access, 2019
Point-of-Interest (POI) recommendation has been an important research topic in data mining and the popularity of location-based social networks (LBSNs) has significantly contributed to POI recommendation.
Zhenggao Pan   +5 more
doaj   +1 more source

Postoperative Care and Management in Pediatric Hematology‐Oncology Patients

open access: yesEuropean Journal of Haematology, EarlyView.
ABSTRACT Pediatric patients with hematologic and oncologic diseases often undergo surgical procedures as part of diagnosis and therapy. These include central venous catheter placements, tumor resections, lymph node and bone marrow biopsies, among others.
Shachi Srivatsa, Sara A. Mansfield
wiley   +1 more source

MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations

open access: yesApplied Sciences, 2020
The rapid development of location-based social networks (LBSNs) produces the increasing number of check-in records and corresponding heterogeneous information which bring big challenges of points-of-interest (POIs) recommendation in our daily lives.
Bin Xia   +4 more
doaj   +1 more source

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