The Experts below are selected from a list of 41913 Experts worldwide ranked by ideXlab platform
Guillermo Deben - One of the best experts on this subject based on the ideXlab platform.
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causes and prognostic factors of remission Induction failure in patients with acute promyelocytic leukemia treated with all trans retinoic acid and idarubicin
Blood, 2008Co-Authors: Javier De La Serna, Pau Montesinos, Edo Vellenga, Chelo Rayon, Ricardo Parody, Angel Leon, Jordi Esteve, Juan Bergua, Gustavo Milone, Guillermo DebenAbstract:An understanding of the prognostic factors associated with the various forms of Induction mortality in patients with acute promyelocytic leukemia (APL) has remained remarkably limited. This study reports the incidence, time of occurrence, and prognostic factors of the major categories of Induction failure in a series of 732 patients of all ages (range, 2-83 years) with newly diagnosed APL who received all-trans retinoic acid (ATRA) plus idarubicin as Induction therapy in 2 consecutive studies of the Programa de Estudio y Tratamiento de las Hemopatias Malignas (PETHEMA) Group. Complete remission was attained in 666 patients (91%). All the 66 Induction failures were due to Induction death. Hemorrhage was the most common cause of Induction death (5%), followed by infection (2.3%) and differentiation syndrome (1.4%). Multivariate analysis identified specific and distinct pretreatment characteristics to correlate with an increased risk of death caused by hemorrhage (abnormal creatinine level, increased peripheral blast counts, and presence of coagulopathy), infection (age >60 years, male sex, and fever at presentation), and differentiation syndrome (Eastern Cooperative Oncology Group [ECOG] score >1 and low albumin levels), respectively. These data furnish clinically relevant information that might be useful for designing more appropriately risk-adapted treatment protocols aimed at reducing the considerable Problem of Induction mortality in APL.
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causes and prognostic factors of remission Induction failure in patients with acute promyelocytic leukemia treated with all trans retinoic acid and idarubicin
Blood, 2008Co-Authors: Javier De La Serna, Pau Montesinos, Edo Vellenga, Chelo Rayon, Ricardo Parody, Angel Leon, Jordi Esteve, Juan Bergua, Gustavo Milone, Guillermo DebenAbstract:An understanding of the prognostic factors associated with the various forms of Induction mortality in patients with acute promyelocytic leukemia (APL) has remained remarkably limited. This study reports the incidence, time of occurrence, and prognostic factors of the major categories of Induction failure in a series of 732 patients of all ages (range, 2-83 years) with newly diagnosed APL who received all-trans retinoic acid (ATRA) plus idarubicin as Induction therapy in 2 consecutive studies of the Programa de Estudio y Tratamiento de las Hemopatias Malignas (PETHEMA) Group. Complete remission was attained in 666 patients (91%). All the 66 Induction failures were due to Induction death. Hemorrhage was the most common cause of Induction death (5%), followed by infection (2.3%) and differentiation syndrome (1.4%). Multivariate analysis identified specific and distinct pretreatment characteristics to correlate with an increased risk of death caused by hemorrhage (abnormal creatinine level, increased peripheral blast counts, and presence of coagulopathy), infection (age >60 years, male sex, and fever at presentation), and differentiation syndrome (Eastern Cooperative Oncology Group [ECOG] score >1 and low albumin levels), respectively. These data furnish clinically relevant information that might be useful for designing more appropriately risk-adapted treatment protocols aimed at reducing the considerable Problem of Induction mortality in APL.
Hector Zenil - One of the best experts on this subject based on the ideXlab platform.
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coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability
International Journal of Parallel Emergent and Distributed Systems, 2019Co-Authors: Hector Zenil, Liliana Badillo, Santiago Hernandezorozco, Francisco HernandezquirozAbstract:ABSTRACTPreviously referred to as ‘miraculous’ in the scientific literature because of its powerful properties and its wide application as optimal solution to the Problem of Induction/inference, (a...
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coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability
arXiv: Information Theory, 2017Co-Authors: Hector Zenil, Liliana Badillo, Santiago Hernandezorozco, Francisco HernandezquirozAbstract:Previously referred to as `miraculous' in the scientific literature because of its powerful properties and its wide application as optimal solution to the Problem of Induction/inference, (approximations to) Algorithmic Probability (AP) and the associated Universal Distribution are (or should be) of the greatest importance in science. Here we investigate the emergence, the rates of emergence and convergence, and the Coding-theorem like behaviour of AP in Turing-subuniversal models of computation. We investigate empirical distributions of computing models in the Chomsky hierarchy. We introduce measures of algorithmic probability and algorithmic complexity based upon resource-bounded computation, in contrast to previously thoroughly investigated distributions produced from the output distribution of Turing machines. This approach allows for numerical approximations to algorithmic (Kolmogorov-Chaitin) complexity-based estimations at each of the levels of a computational hierarchy. We demonstrate that all these estimations are correlated in rank and that they converge both in rank and values as a function of computational power, despite fundamental differences between computational models. In the context of natural processes that operate below the Turing universal level because of finite resources and physical degradation, the investigation of natural biases stemming from algorithmic rules may shed light on the distribution of outcomes. We show that up to 60\% of the simplicity/complexity bias in distributions produced even by the weakest of the computational models can be accounted for by Algorithmic Probability in its approximation to the Universal Distribution.
Javier De La Serna - One of the best experts on this subject based on the ideXlab platform.
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causes and prognostic factors of remission Induction failure in patients with acute promyelocytic leukemia treated with all trans retinoic acid and idarubicin
Blood, 2008Co-Authors: Javier De La Serna, Pau Montesinos, Edo Vellenga, Chelo Rayon, Ricardo Parody, Angel Leon, Jordi Esteve, Juan Bergua, Gustavo Milone, Guillermo DebenAbstract:An understanding of the prognostic factors associated with the various forms of Induction mortality in patients with acute promyelocytic leukemia (APL) has remained remarkably limited. This study reports the incidence, time of occurrence, and prognostic factors of the major categories of Induction failure in a series of 732 patients of all ages (range, 2-83 years) with newly diagnosed APL who received all-trans retinoic acid (ATRA) plus idarubicin as Induction therapy in 2 consecutive studies of the Programa de Estudio y Tratamiento de las Hemopatias Malignas (PETHEMA) Group. Complete remission was attained in 666 patients (91%). All the 66 Induction failures were due to Induction death. Hemorrhage was the most common cause of Induction death (5%), followed by infection (2.3%) and differentiation syndrome (1.4%). Multivariate analysis identified specific and distinct pretreatment characteristics to correlate with an increased risk of death caused by hemorrhage (abnormal creatinine level, increased peripheral blast counts, and presence of coagulopathy), infection (age >60 years, male sex, and fever at presentation), and differentiation syndrome (Eastern Cooperative Oncology Group [ECOG] score >1 and low albumin levels), respectively. These data furnish clinically relevant information that might be useful for designing more appropriately risk-adapted treatment protocols aimed at reducing the considerable Problem of Induction mortality in APL.
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causes and prognostic factors of remission Induction failure in patients with acute promyelocytic leukemia treated with all trans retinoic acid and idarubicin
Blood, 2008Co-Authors: Javier De La Serna, Pau Montesinos, Edo Vellenga, Chelo Rayon, Ricardo Parody, Angel Leon, Jordi Esteve, Juan Bergua, Gustavo Milone, Guillermo DebenAbstract:An understanding of the prognostic factors associated with the various forms of Induction mortality in patients with acute promyelocytic leukemia (APL) has remained remarkably limited. This study reports the incidence, time of occurrence, and prognostic factors of the major categories of Induction failure in a series of 732 patients of all ages (range, 2-83 years) with newly diagnosed APL who received all-trans retinoic acid (ATRA) plus idarubicin as Induction therapy in 2 consecutive studies of the Programa de Estudio y Tratamiento de las Hemopatias Malignas (PETHEMA) Group. Complete remission was attained in 666 patients (91%). All the 66 Induction failures were due to Induction death. Hemorrhage was the most common cause of Induction death (5%), followed by infection (2.3%) and differentiation syndrome (1.4%). Multivariate analysis identified specific and distinct pretreatment characteristics to correlate with an increased risk of death caused by hemorrhage (abnormal creatinine level, increased peripheral blast counts, and presence of coagulopathy), infection (age >60 years, male sex, and fever at presentation), and differentiation syndrome (Eastern Cooperative Oncology Group [ECOG] score >1 and low albumin levels), respectively. These data furnish clinically relevant information that might be useful for designing more appropriately risk-adapted treatment protocols aimed at reducing the considerable Problem of Induction mortality in APL.
Francisco Hernandezquiroz - One of the best experts on this subject based on the ideXlab platform.
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coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability
International Journal of Parallel Emergent and Distributed Systems, 2019Co-Authors: Hector Zenil, Liliana Badillo, Santiago Hernandezorozco, Francisco HernandezquirozAbstract:ABSTRACTPreviously referred to as ‘miraculous’ in the scientific literature because of its powerful properties and its wide application as optimal solution to the Problem of Induction/inference, (a...
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coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability
arXiv: Information Theory, 2017Co-Authors: Hector Zenil, Liliana Badillo, Santiago Hernandezorozco, Francisco HernandezquirozAbstract:Previously referred to as `miraculous' in the scientific literature because of its powerful properties and its wide application as optimal solution to the Problem of Induction/inference, (approximations to) Algorithmic Probability (AP) and the associated Universal Distribution are (or should be) of the greatest importance in science. Here we investigate the emergence, the rates of emergence and convergence, and the Coding-theorem like behaviour of AP in Turing-subuniversal models of computation. We investigate empirical distributions of computing models in the Chomsky hierarchy. We introduce measures of algorithmic probability and algorithmic complexity based upon resource-bounded computation, in contrast to previously thoroughly investigated distributions produced from the output distribution of Turing machines. This approach allows for numerical approximations to algorithmic (Kolmogorov-Chaitin) complexity-based estimations at each of the levels of a computational hierarchy. We demonstrate that all these estimations are correlated in rank and that they converge both in rank and values as a function of computational power, despite fundamental differences between computational models. In the context of natural processes that operate below the Turing universal level because of finite resources and physical degradation, the investigation of natural biases stemming from algorithmic rules may shed light on the distribution of outcomes. We show that up to 60\% of the simplicity/complexity bias in distributions produced even by the weakest of the computational models can be accounted for by Algorithmic Probability in its approximation to the Universal Distribution.
Fernandes Diogo - One of the best experts on this subject based on the ideXlab platform.
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O Problema da Indução
2014Co-Authors: Castro Eduardo, Fernandes DiogoAbstract:State of the art paper on the Problem of Induction: how to justify the conclusion that ‘all Fs are Gs’ from the premise that ‘all observed Fs are Gs’. The most prominent theories of contemporary philosophical literature are discussed and analysed, such as: inductivism, reliabilism, perspective of laws of nature, rationalism, falsificationism, the material theory of Induction and probabilistic approaches, according to Carnap, Reichenbach and Bayesianism. In the end, we discuss the new Problem of Induction of Goodman, raised by the grue predicate
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O Problema da Indução
2014Co-Authors: Castro Eduardo, Fernandes DiogoAbstract:Artigo sobre o estado da arte do Problema da indução: como justificar a conclusão de que ‘todos os Fs são Gs’ a partir da premissa de que ‘todos os Fs observados são Gs’. Análise e discussão das teorias mais salientes na literatura filosófica contemporânea, tais como: indutivismo, fiabilismo, perspectiva das leis da natureza, racionalismo, falsificacionismo, teoria material da indução e abordagens probabilísticas, segundo Carnap, Reichenbach e o bayesianismo. No final, discute-se o novo Problema da indução de Goodman, levantado pelo predicado verdul.Abstract: State of the art paper on the Problem of Induction: how to justif y the conclusion that ‘all F s are G s’ from the premise that ‘all observed F s are G s’. The most prominent theories of contemporary philosophic al literature are discussed and analysed, such as: inductivis m, reliabilism, perspective of laws of nature, rationalism, falsificationism , the ma- terial theory of Induction and probabilistic approaches, ac cording to Carnap, Reichenbach and Bayesianism. In the end, we discuss t he new Problem of Induction of Goodman, raised by the grue predicate.Fundação para a Ciência e a Tecnologia, Faculdade de Letras da Universidade de Lisboa, LanCog Research Grou
