Results 71 to 80 of about 1,379,083 (303)

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Information Splitting for Big Data Analytics

, 2016
Many statistical models require an estimation of unknown (co)-variance parameter(s) in a model. The estimation usually obtained by maximizing a log-likelihood which involves log determinant terms. In principle, one requires the \emph{observed information}
Gu, Tongxiang, Mo, Zeyao, Xu, Xiaowen, Zhu, Shengxin   +3 more
core   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Balancing Privacy and Accuracy in Healthcare AI: Federated Learning with AutoML for Blood Pressure Prediction

Applied Sciences
The widening gap between life expectancy and healthy life years underscores the need for scalable, adaptive, and privacy-conscious healthcare solutions.
Suhyeon Kim, Kyoung Jun Lee, Taekyung Kim, Arum Park   +3 more
doaj   +1 more source

Big data and predictive analytics: A systematic review of applications

Artificial Intelligence Review
Big data involves processing vast amounts of data using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future events by discerning patterns observed in historical data.
Amirhossein Jamarani, Saeid Haddadi, R. Sarvizadeh, M. H. Kashani, Mohammad Akbari, Saeed Moradi   +5 more
semanticscholar   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

6-Year trajectory of fasting plasma glucose (FPG) and mortality risk among individuals with normal FPG at baseline: a prospective cohort study

Diabetology & Metabolic Syndrome, 2023
Background Higher fasting plasma glucose (FPG) levels were associated with an increased risk of all-cause mortality; however, the associations between long-term FPG trajectory groups and mortality were unclear, especially among individuals with a normal ...
Wanlu Li, Chi Pang Wen, Wenyuan Li, Zhijun Ying, Sai Pan, Yizhan Li, Zecheng Zhu, Min Yang, Huakang Tu, Yi Guo, Zhenya Song, David Ta-Wei Chu, Xifeng Wu   +12 more
doaj   +1 more source

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Big Data and Cognitive Computing, 2022
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics ...
In Lee, George Mangalaraj
semanticscholar   +1 more source

Impact of Climate and Pollution on Schizophrenia: A Narrative on Exposure-Response Relationship

Journal of Environmental Health and Sustainable Development, 2022
Introduction: In recent years, the relationship between environment and psychological well-being has been paid attention among researchers. With the preceding emphasis on climate change, significant studies have been conducted to analyze the relationship
Jobin Thomas, Murali Parameswaran
doaj  

A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study

Frontiers in Medicine, 2021
Objective: Biological age (BA) has been accepted as a more accurate proxy of aging than chronological age (CA). This study aimed to use machine learning (ML) algorithms to estimate BA in the Chinese population.Materials and methods: We used data from 9 ...
Xingqi Cao, Guanglai Yang, Xurui Jin, Xurui Jin, Liu He, Xueqin Li, Zhoutao Zheng, Zuyun Liu, Chenkai Wu   +8 more
doaj   +1 more source