Results 51 to 60 of about 920,349 (257)

Dynamic Interpretable Change Point Detection

, 2022
Identifying change points (CPs) in a time series is crucial to guide better decision making across various fields like finance and healthcare and facilitating timely responses to potential risks or opportunities. Existing Change Point Detection (CPD) methods have a limitation in tracking changes in the joint distribution of multidimensional features ...
Garg, Kopal, Yu, Jennifer, Behrouzi, Tina, Tonekaboni, Sana, Goldenberg, Anna   +4 more
openaire   +2 more sources

Utility of Computed Tomography Surveillance of Asymptomatic Infection in Children and Young Adults Before Allogeneic Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark, Pradipta Debnath, Rama S. Ayyala, Lara A. Danziger‐Isakov, Jane Koo, Kasiani C. Myers, William R. Otto, Aki Tanimoto, Andrew T. Trout, Cara E. Morin   +9 more
wiley   +1 more source

Non-parametric change-point method for differential gene expression detection. [PDF]

PLoS ONE, 2011
BACKGROUND: We proposed a non-parametric method, named Non-Parametric Change Point Statistic (NPCPS for short), by using a single equation for detecting differential gene expression (DGE) in microarray data.
Yao Wang, Chunguo Wu, Zhaohua Ji, Binghong Wang, Yanchun Liang   +4 more
doaj   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

Change Point Detection in Terrorism-Related Online Content Using Deep Learning Derived Indicators

Information, 2021
Given the increasing occurrence of deviant activities in online platforms, it is of paramount importance to develop methods and tools that allow in-depth analysis and understanding to then develop effective countermeasures. This work proposes a framework
Ourania Theodosiadou, Kyriaki Pantelidou, Nikolaos Bastas, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris   +6 more
doaj   +1 more source

Effects of Cancer Treatment on Somatosensory and Nociceptive Processing in Children and Adolescents: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger, Laura Walz, Michael C. Frühwald, Stefan Lautenbacher, Miriam Kunz   +4 more
wiley   +1 more source

Models of Dynamic Belief Updating in Psychosis—A Review Across Different Computational Approaches

Frontiers in Psychiatry, 2022
To understand the dysfunctional mechanisms underlying maladaptive reasoning of psychosis, computational models of decision making have widely been applied over the past decade.
Teresa Katthagen, Sophie Fromm, Sophie Fromm, Sophie Fromm, Lara Wieland, Lara Wieland, Lara Wieland, Florian Schlagenhauf, Florian Schlagenhauf, Florian Schlagenhauf, Florian Schlagenhauf   +10 more
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Change Point Detection for Diversely Distributed Stochastic Processes Using a Probabilistic Method

Inventions, 2019
Unpredicted deviations in time series data are called change points. These unexpected changes indicate transitions between states. Change point detection is a valuable technique in modeling to estimate unanticipated property changes underlying time ...
Muhammad Rizwan Khan, Biswajit Sarkar
doaj   +1 more source