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1
artículo
Publicado 2017
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The investigation’s fundamental purpose, it was focused to determine the Valor Predictivo of tamizaje’s spot tests in order to VIH;Descriptive investigation epidemiologic, retrospective and transverse; The basic procedures, 2009, 2010 and 2011 came true with the epidemiologic statistics in the sensibility and specificity tests of the years; The more important findings went than: This procedure had great acceptance for part of los/las users, since they surpassed them 33,000 you show in solidum group poblacional and tendency was maintained during the three years, referring to the sensibility average he was equivalent to the 100; Finally we come to an end than tamizaje’s spot tests in order to VIH, they have Value Predictivo Positivo, applied to the population that he proceeded to Salud’s Establishments in the Region Huánuco.
2
artículo
Objective. Determine the study of the diagnostic test of the prediction nomogram for the risk of preeclampsia. Material and method. A nested case-control analytical observational study and validation of the proposed prediction index was performed with the design of a nomogram. It was performed at the Guillermo Almenara Irigoyen-EsSalud Hospital, Lima-Peru, and Fetal Medicine Unit. Participated asymptomatic pregnant patients of the Almenara-EsSalud Healthcare Network between the first or second trimester of pregnancy that developed or not at the end of the follow-up severe preeclampsia. The clinical, laboratory and Doppler predictors of the uterine arteries were evaluated. The data obtained were analyzed under a multivariate binary logistic regression model to construct the prediction equation and the prediction nomogram. In addition, the ROC curve analysis was performed. Results. Th...
3
artículo
Objective. Determine the study of the diagnostic test of the prediction nomogram for the risk of preeclampsia. Material and method. A nested case-control analytical observational study and validation of the proposed prediction index was performed with the design of a nomogram. It was performed at the Guillermo Almenara Irigoyen-EsSalud Hospital, Lima-Peru, and Fetal Medicine Unit. Participated asymptomatic pregnant patients of the Almenara-EsSalud Healthcare Network between the first or second trimester of pregnancy that developed or not at the end of the follow-up severe preeclampsia. The clinical, laboratory and Doppler predictors of the uterine arteries were evaluated. The data obtained were analyzed under a multivariate binary logistic regression model to construct the prediction equation and the prediction nomogram. In addition, the ROC curve analysis was performed. Results. Th...
4
artículo
Publicado 2023
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What do we mean when we say that algorithms are capable of predicting what is going to happen and anticipating our actions? In the following article I will analyse the phenomena of algorithmic prediction and behavioural anticipation, explaining their convergence in contemporary techniques of predictive analytics. First, I will deal with some possible misconceptions about the predictive capacities of algorithms by delving into probability theory. Secondly, I will take Bernard Stiegler’s post-phenomenological theory of algorithmic governmentality as a model to explain their capacity for behavioural anticipation. Lastly, I will present Mark Hansen’s Whiteheadian reading of predictive analytics, in which he provides a way to understand the ontological basis of the power of these algorithmic systems and also highlight their epistemological limits. Besides the theoretical purposiveness of ...
5
artículo
The objective of this research work is to provide a new predictive approach to fragmentation in the rock blasting processes, developed based on the Kuz-Ram model, Multivariate Analysis techniques (MVA) and Artificial Neural Network techniques (ANN).The objective of the new approach predictive approach to (X50), fragmentation is based on the fact that this research, would provide us with an optimization in the metallurgical mining operations, because delivering an optimal fragmentation requerid for the grinding processes, it could minimize their times and maximize their productivity.
6
artículo
Desertion is a problem that affects public and private universities, and leads to a series of negative consequences for both institutions and students. Therefore, the objective of this study was to determine how the use of predictive models in low pass-rate courses helps to identify students at risk of desertion. Seven predictive models were designed using CRISP (Cross- Industry Standard Process for Data Mining) methodology and students’ academic records to be applied in seven low pass-rate courses. Among the main results, it can be noted that predictive models contributed to the reduction of fail rates by 25% and 40%, and that the variables that best forecast desertion were career choice (vocation), number of times students enrolled in the course, and grades obtained in mathematics or language arts when students attended the fifth year of high school.
7
artículo
In Peru and the entire world, hypertension is a disease that can progress without showing any symptoms or these being very mild. You can have high blood pressure and not feel any manifestations, arterial hypertension is a serious public health problem in developing countries like ours: According to the 2017 Demographic and Family Health Survey Survey, although the prevalence of hypertension in people aged 15 years and over would have decreased from 14.8% in 2014 to 13.6%, it implies that more than 3 million Peruvians live with high blood pressure. For this reason, our goal is the rapid diagnosis of this silent disease. In the present work, the logistic regression system was used, for which there is a dataset of 5615 analyzed records. This article presents the possibility of detecting a disease such as high blood pressure based on artificial intelligence, since this evil has been increasi...
8
artículo
Publicado 2022
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Objective: To determine the usefulness of the modified asthma predictive index (mAPI) for the early detection of children diagnosed with bronchial asthma. Material y methods: Descriptive-cross-sectional study where 162 children from 5 to 16 years old, who belong to the Asthma program of Hospital III Yanahuara in Arequipa, were evaluated. His parents retrospectively answered an asthma predictive questionnaire consisting of 3 major criteria and 4 minor criteria. Probable asthma was considered if the child had recurrent wheezing, in addition to 1 major criterion and/or 2 positive minor criteria. Results: 85.8 % of the children began their disease before 4 years of age. When applying the mAPI retrospectively, it is observed that 76.5 % of childhood asthma could have been detected early (before the age of 5), with a higher positive score in males (81.2 %) and in children with moderate asthma ...
9
tesis doctoral
Publicado 2023
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State-of-the-art control and robotics challenges have long been tackled using model-based control methods like model predictive control (MPC) and reinforcement learning (RL). These methods excel in complex dynamic domains, such as manipulation tasks, but struggle with real-world issues like wear-and-tear, uncalibrated sensors, and misspecifications. These factors often perturb system dynamics, leading to the 'reality gap' problem when robots transition from simulations to real-world environments. This work aims to bridge this gap by combining RL and control in a learning framework that adapts MPC to robot decisions, optimizing performance despite uncertainties in dynamics model parameters. This thesis presents three key contributions to robotics control. The first is a novel reward-based framework for refining stochastic Model Predictive Control (MPC). It utilizes Bayesian Optimization (...
10
artículo
Background: Primary aldosteronism is a disorder due to excessive aldosterone production in the presence of low renin levels. It is an underdiagnosed pathology despite its simple screening. Establishing the unilateral or bilateral location represents the greatest diagnostic challenge and is crucial to define the therapeutic approach. Adrenal venous catheterization (AVC) is the best test to establish the location, but it is invasive and expensive. New predictive markers of laterality are being developed. Case series presentation: We present a case series of 8 patients diagnosed with primary aldosteronism due to arterial hypertension with hypokalaemia, elevated aldosterone-renin ratio and compatible computed tomography. 4 patients underwent adrenal venous catheterization. Conclusion: In patients who underwent catheterization as well as in those who did not, the Küpers score adequately pred...
11
artículo
Publicado 2008
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The predictive control (MPC) is an advanced control strategy widely used in industrial processes. MPC is also one of the most active areas of research in the theory of control. Subjects such as optimality, stability and robustness are well known, especially for linear systems. However, despite this large adoption, both in the media industry and academics, little has been written about how these drivers are implemented in practice. This article tries to fill this gap, introducing the development of systems optimization and MPC, and discussing their integration into a hierarchical control structure. The proposed integrated control scheme is applied to the Tennessee Eastman plant, and the results show the effectiveness of the proposed strategy for optimal control of processes.
12
artículo
Publicado 2008
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The predictive control (MPC) is an advanced control strategy widely used in industrial processes. MPC is also one of the most active areas of research in the theory of control. Subjects such as optimality, stability and robustness are well known, especially for linear systems. However, despite this large adoption, both in the media industry and academics, little has been written about how these drivers are implemented in practice. This article tries to fill this gap, introducing the development of systems optimization and MPC, and discussing their integration into a hierarchical control structure. The proposed integrated control scheme is applied to the Tennessee Eastman plant, and the results show the effectiveness of the proposed strategy for optimal control of processes.
13
artículo
Publicado 2015
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OBJECTIVE. To ascertain the maternal and fetal variables that predict fetopelvic disproportion (FPD). SETTING. Hospital Nacional Docente Madre-Niño San Bartolome, Lima, Peru. DESIGN. Clinical retrospective study. Participants. Pregnant women with labor second stage arrest and birth by cesarean section. INTERVENTIONS. Retrospective study of our Perinatal Data Base from January 1, 1991 to December 31, 1999. Fetopelvic disproportion (FPD) was defined as labor arrest during 2 hours in nulliparous and 1 hour in multiparous women at the second stage of labor and delivery of the baby was by cesarean section. Logistic regression (LR) and ROC analysis were performed. MAIN OUTCOME MEASURES. FPD prevalence and associated conditions. RESULTS. The prevalence of FPD was 1,28% (583/45,386). As compared with women without FPD, women with FPD significantly presented lower stature –less than 160 cm–,...
14
artículo
Publicado 2015
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OBJECTIVE. To ascertain the maternal and fetal variables that predict fetopelvic disproportion (FPD). SETTING. Hospital Nacional Docente Madre-Niño San Bartolome, Lima, Peru. DESIGN. Clinical retrospective study. Participants. Pregnant women with labor second stage arrest and birth by cesarean section. INTERVENTIONS. Retrospective study of our Perinatal Data Base from January 1, 1991 to December 31, 1999. Fetopelvic disproportion (FPD) was defined as labor arrest during 2 hours in nulliparous and 1 hour in multiparous women at the second stage of labor and delivery of the baby was by cesarean section. Logistic regression (LR) and ROC analysis were performed. MAIN OUTCOME MEASURES. FPD prevalence and associated conditions. RESULTS. The prevalence of FPD was 1,28% (583/45,386). As compared with women without FPD, women with FPD significantly presented lower stature –less than 160 cm–,...
15
artículo
Background: Primary aldosteronism is a disorder due to excessive aldosterone production in the presence of low renin levels. It is an underdiagnosed pathology despite its simple screening. Establishing the unilateral or bilateral location represents the greatest diagnostic challenge and is crucial to define the therapeutic approach. Adrenal venous catheterization (AVC) is the best test to establish the location, but it is invasive and expensive. New predictive markers of laterality are being developed. Case series presentation: We present a case series of 8 patients diagnosed with primary aldosteronism due to arterial hypertension with hypokalaemia, elevated aldosterone-renin ratio and compatible computed tomography. 4 patients underwent adrenal venous catheterization. Conclusion: In patients who underwent catheterization as well as in those who did not, the Küpers score adequately pred...
16
artículo
Publicado 2019
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Cervical cancer is currently the fourth most frequent type of cancer in women. A large number of techniques from the Artificial Intelligence (AI) such as Neuronal Networks, Support Vector Machines (SVM), Decision Trees and others; have been used to deal with the problem of predicting this disease. The following paper shows the cervical cancer risk prediction, by implementing a probabilistic model based on Bayesian Networks and using 322 instances where we could retrieve 15 different features that are known information from each patient. The tests were made using the 40% of the whole dataset, confusion matrix and AUC indicator. The results show that this work has raised a 96% of success rate as well as 0.9864 in terms of the AUC indicator, in addition to this, the results suggest that Bayesian Networks are able to reach a high performance and provide transparency during the inference proc...
17
artículo
Publicado 2024
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Introducction: the female effort urinay incontinence (EUI) is a feminine frequent pathology whose correct evaluation is important. The study ultrasonographic urethrovesical is a relatively unexplored method for the diagnosis and causes of this entity.Objetives: to determine the pubourethrovesical angle (puv), urethral motility and pubourethral distance while resting and with the Valsalva and retention maneuvers in patients with effort urinary incontinence of (EUI) and healthy women.Material and methods: this is a prospective, longitudinal and analytic study, which undertaken in the gynecology service of the EsSalud III Hospital in Puno. The specificity, sensitivity, positive predictive value and negative predictive value of the technique have been calculated.Results: the puv angle in patients with EUI was on average: while resting 77°, Valsalva maneuver 124.6°, retention...
18
artículo
Publicado 2024
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Introducction: the female effort urinay incontinence (EUI) is a feminine frequent pathology whose correct evaluation is important. The study ultrasonographic urethrovesical is a relatively unexplored method for the diagnosis and causes of this entity.Objetives: to determine the pubourethrovesical angle (puv), urethral motility and pubourethral distance while resting and with the Valsalva and retention maneuvers in patients with effort urinary incontinence of (EUI) and healthy women.Material and methods: this is a prospective, longitudinal and analytic study, which undertaken in the gynecology service of the EsSalud III Hospital in Puno. The specificity, sensitivity, positive predictive value and negative predictive value of the technique have been calculated.Results: the puv angle in patients with EUI was on average: while resting 77°, Valsalva maneuver 124.6°, retention...
19
artículo
Publicado 2024
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Despite improved higher education accessibility in low and middle-income countries (LMICs), challenges persist in student drop-out, especially for socio-economically disadvantaged students. While machine learning models have enhanced our understanding of this challenge by predicting academic performance, many studies overlook LMIC-specific institutional factors or focus on specific courses, limiting their generalizability and policy uses. To address these issues, the authors compiled a comprehensive database using administrative and census data to predict undergraduate academic performance at the Pontifical Catholic University of Peru (PUCP). The study found that the most effective models were tree-based ensembles, particularly Random Forest, with key predictors including prior secondary school performance and university admission test scores. They present a high-performing model using o...
20
tesis de maestría
Publicado 2017
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The aim of this Master's Thesis was to develop a naturally controllable BCI that can predict motion trajectories from the imagination of motor execution. The approach to reach this aim was to nd a correlation between movement and brain data, which can subsequently be used for the prediction of movement trajectories only by brain signals. To nd this correlation, an experiment was carried out, in which a participant had to do triggered movements with its right arm to four di erent targets. During the execution of the movements, the kinematic and EEG data of the participant were recorded. After a preprocessing stage, the velocity of the kinematic data in x and y directions, and the band power of the EEG data in di erent frequency ranges were calculated and used as features for the calculation of the correlation by a multiple linear regression. When applying the resulting regression paramete...
