Results 61 to 70 of about 822,176 (252)

An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology

open access: yes
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos   +2 more
wiley   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte   +5 more
wiley   +1 more source

Sparseness-Optimized Feature Importance for Time Series Classification

open access: yesIEEE Access
The literature reports a wide variety of attribution methods for explaining the predictions made by time series classification (TSC) algorithms. These post-hoc explanation methods span from model-specific to agnostic procedures that operate at different ...
Isel Grau   +3 more
doaj   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek   +14 more
wiley   +1 more source

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa   +7 more
wiley   +1 more source

Top-$k$ Feature Importance Ranking

open access: yesCoRR
Accurate ranking of important features is a fundamental challenge in interpretable machine learning with critical applications in scientific discovery and decision-making. Unlike feature selection and feature importance, the specific problem of ranking important features has received considerably less attention.
Eric Chen   +2 more
openaire   +3 more sources

Incidence and Severity of Carboplatin‐Associated Hearing Loss in Children With Cancer Assessed by the SIOP Boston 2012 Ototoxicity Criteria

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla   +6 more
wiley   +1 more source

Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex   +13 more
wiley   +1 more source

Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting

open access: yesMathematics
In the wave of digital transformation and Industry 4.0, accurate time series forecasting has become critical across industries such as manufacturing, energy, and finance.
Sheng-Tzong Cheng   +2 more
doaj   +1 more source

Sparseness-Optimized Feature Importance

open access: yes
In this paper, we propose a model-agnostic post-hoc explanation procedure devoted to computing feature attribution. The proposed method, termed Sparseness-Optimized Feature Importance (SOFI), entails solving an optimization problem related to the sparseness of feature importance explanations.
Grau, Isel, Nápoles, Gonzalo
openaire   +4 more sources

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