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Recent advancements in Artificial Intelligence has prompted a shearexplosion of new research initiatives and applications, improving notonly existing technologies, but also opening up opportunities for newand exiting applications. This thesis explores the MIMIC-III intensive care unit database and conducts experiment on an interpretable feature space based on sever-ty scores, defining a patient health state, commonly used to predict mortality in an ICU setting. Patient health state trajectories are clustered and correlated with administered medication and performed procedures to get a better understanding of the potential usefulness in evaluating treatments on their effect on said health state, where commonalities and deviations in treatment can be understood. Furthermore, medication and procedure classification is carried out to explore their predictability using the severity subscore feature space.

Recent advancements in Artificial Intelligence has prompted a shearexplosion of new research initiatives and applications, improving notonly existing technologies, but also opening up opportunities for newand exiting applications. This thesis explores the MIMIC-III intensive care unit database and conducts experiment on an interpretable feature space based on sever-ty scores, defining a patient health state, commonly used to predict mortality in an ICU setting. Patient health state trajectories are clustered and correlated with administered medication and performed procedures to get a better understanding of the potential usefulness in evaluating treatments on their effect on said health state, where commonalities and deviations in treatment can be understood. Furthermore, medication and procedure classification is carried out to explore their predictability using the severity subscore feature space.

The aim of this study was to develop a new approach for joint genetic evaluation of mastitis and recovery. Two mastitis incidences (0.28 and 0.95) measured via somatic cell count and three between traits genetic correlations (0.0, 0.2, and -0.2) were simulated for daughter group sizes of 60 and 240. A transition model was applied to model transitions between healthy and disease state. The RJMC package in DMU was used to estimate (co)variances. Heritabilities were consistent with the simulated value (0.039) for susceptibility and a bit upward biased for recovery. Estimates of genetic correlations were -0.055, 0.205, and -0.192 for the simulated values of 0.0, 0.2, and -0.2, respectively. For daughter group size of 60, accuracies of sire EBV ranged from 0.56 to 0.69 for mastitis and from 0.26 to 0.48 for recovery. The study demonstrated that both traits can be modeled jointly and simulated correlations could be correctly reproduced.

Aerial basking may have several benefits for freshwater turtles in addition to thermoregulation such as removing parasites from the skin, which would improve health state. However, basking outside of water may be risky because it may expose freshwater turtles to terrestrial predators. Here, we monitored the basking activity of male Spanish terrapins (Mauremys leprosa) in a wild population of the south-western of the Iberian Peninsula. We also measured body size, health state parameters, parasite prevalence, and limb coloration of these individuals. We aimed to examine whether basking may improve health state of turtles. The results showed that male turtles with higher basking activity were those parasitized by Hepatozoon and that had lower total white blood cell (WBC). This might indicate that turtles in worse health condition increase their time spent basking to improve their immune system. In addition, because basking might be risky, we also expected that turtles with more conspicuous coloration should reduce their basking activity to avoid being detected by potential predators. We found that infected turtles, but not uninfected ones, that spent more time basking also had less bright coloration in limb stripes. Our study provides evidence that basking activity may improve health state of terrapins, but that color conspicuity may increase costs of basking, especially for parasitized individuals. Understanding the balance between the benefits and the costs of basking might be essential for the conservation of freshwater turtle populations.

Many lizards have diverse glands that produce chemosignals used in intraspecific communication and that can have reproductive consequences. For example, information in chemosignals of male lizards can be used in intrasexual competition to identify and assess the fighting potential or dominance status of rivalmales either indirectly through territorial scent-marks or during agonistic encounters.Moreover, females of several lizard species “prefer” to establish or spend more time on areas scent-marked by males with compounds signaling a better health or body condition or a higher genetic compatibility, which can have consequences for their mating success and intersexual selection processes. We review here recent studies that suggest that the information content of chemosignals of lizards may be reliable because several physiological and endocrine processeswould regulate the proportions of chemical compounds available for gland secretions. Because chemosignals are produced by the organism or come from the diet, they should reflect physiological changes, such as different hormonal levels (e.g. testosterone or corticosterone) or different health states (e.g. parasitic infections, immune response), and reflect the quality of the diet of an individual. More importantly, some compounds that may function as chemosignals also have other important functions in the organism (e.g. as antioxidants or regulating the immune system), so there could be trade-offs between allocating these compounds to attending physiological needs or to produce costly sexual “chemical ornaments”. All these factors may contribute to maintain chemosignals as condition-dependent sexual signals, which can inform conspecifics on the characteristics and state of the sender and allowmaking behavioral decisions with reproductive consequences. To understand the evolution of chemical secretions of lizards as sexual signals and their relevance in reproduction, future studies should examine what information the si

Purpose: Today, more patients with congenital heart disease (CHD) reach adulthood. There are conflicting findings concerning the relationship between quality of life (QoL) or health state for adults with CHD and the complexity of their CHD. The aim of the study was, firstly, to compare the reported health status and health perception of adult patients with CHD and, secondly, to investigate what variables influenced the patients' health status and health perception. Methods: Data from 1435 patients completing the EQ-5D questionnaire, which includes reported health status and health perception, were analyzed. Results: Valid EQ-5D data were reported by 1274 patients, showing overall results indicating a good health status. Problems were most frequently reported in the dimension "pain/discomfort" (31.9%) and "anxiety/depression" (29.8%). Higher occurrence of problems were reported by patients with complex disease i.e. single ventricle (p<0.001) and by female patients (p<0.0001). Symptomatic patients reported a lower health status (p<0.0001) and a lower perceived health on EQ-VAS (p<0.0001). Of the asymptomatic patients, 20.5% nevertheless reported problems in "pain/discomfort" and 22.2% in the "anxiety/depression" dimension. Conclusion: The health status of adults with CHD is influenced by symptoms, NYHA-classification, age and gender. Adults with CHD report a lower occurrence of problems in comparison to previously published results from a general population, but the importance of actively asking about the patient's experience is demonstrated by the high degree of asymptomatic patients reporting problems on EQ-5D. (c) 2011 Elsevier Ireland Ltd. All rights reserved.

Background Expectations held by patients and health professionals may affect treatment choices and participation (by both patients and health professionals) in therapeutic interventions in contemporary patient-centered healthcare environments. If patients in rehabilitation settings overestimate their discharge health-related quality of life, they may become despondent as their progress falls short of their expectations. On the other hand, underestimating their discharge health-related quality of life may lead to a lack of motivation to participate in therapies if they do not perceive likely benefit. There is a scarcity of empirical evidence evaluating whether patients' expectations of future health states are accurate. The purpose of this study is to evaluate the accuracy with which older patients admitted for subacute in-hospital rehabilitation can anticipate their discharge health-related quality of life. Methods A prospective longitudinal cohort investigation of agreement between patients' anticipated discharge health-related quality of life (as reported on the EQ-5D instrument at admission to a rehabilitation unit) and their actual self-reported health-related quality of life at the time of discharge from this unit was undertaken. The mini-mental state examination was used as an indicator of patients' cognitive ability. Results Overall, 232(85%) patients had all assessment data completed and were included in analysis. Kappa scores ranged from 0.42-0.68 across the five EQ-5D domains and two patient cognition groups. The percentage of exact correct matches within each domain ranged from 69% to 85% across domains and cognition groups. Overall 40% of participants in each cognition group correctly anticipated all of their self-reported discharge EQ-5D domain responses. Conclusions Patients admitted for subacute in-hospital rehabilitation were able to anticipate the discharge health-related quality of life on the EQ-5D instrument with a moderate level of accuracy. Thi

Policy studies often evaluate health for a population by summing the individuals' health as measured by a scale that is ordinal or that depends on risk attitudes. We develop a method using a different type of preferences, called preference intensity or cardinal preferences, to construct scales that measure changes in health. The method is based on a social welfare model that relates preferences between changes in an individual's health to preferences between changes in health for a population

Policy studies often evaluate health for a population by summing the individuals' health as measured by a scale that is ordinal or that depends on risk attitudes. We develop a method using a different type of preferences, called preference intensity or cardinal preferences, to construct scales that measure changes in health. The method is based on a social welfare model that relates preferences between changes in an individual's health to preferences between changes in health for a population

Policy studies often evaluate health for a population by summing the individuals' health as measured by a scale that is ordinal or that depends on risk attitudes. We develop a method using a different type of preferences, called preference intensity or cardinal preferences, to construct scales that measure changes in health. The method is based on a social welfare model that relates preferences between changes in an individual's health to preferences between changes in health for a population

Policy studies often evaluate health for a population by summing the individuals' health as measured by a scale that is ordinal or that depends on risk attitudes. We develop a method using a different type of preferences, called preference intensity or cardinal preferences, to construct scales that measure changes in health. The method is based on a social welfare model that relates preferences between changes in an individual's health to preferences between changes in health for a population

The number of different types of circulating leucocytes may provide information about the health state of birds in the wild. We counted the number and proportions of circulating leucocytes in blood smears of nestling pied flycatchers (Ficedula hypoleuca) shortly before fledging. We studied the relationship between these haematological measures and environmental factors like parasitism, body mass, hatching date, and brood size. The heterophils-to-lymphocytes ratio was higher in nestlings whose nests suffered from mite infestation and in lighter individuals, heterophils being the cells that responded preferentially to malnutrition. Recruited birds had lower lymphocyte and heterophil counts when nestlings than non-recruited ones. Our results show that heterophil count is a better predictor of local recruitment than other variables widely used for nestlings as survival predictors, like body mass or hatching date, supporting the hypothesis that low heterophil counts reflect a good individual health state in nestlings.

The body condition of free-ranging animals affects their ability to fulfil their vital needs, their response to stress, their decisions, and ultimately their fitness, with important evolutionary consequences. It is thus a key attribute that ecologists commonly aim to measure, but remains poorly defined and difficult to measure. As recently suggested, ideally a measure of condition should reflect the capacity of an organism to maintain the functionality of cellular processes. We propose a method that provides a holistic assessment of condition, allowing us to position individuals along a gradient from a ‘normal/optimal’ to ‘abnormal/suboptimal’ physiological state. To do so, we make use of the joint probability distribution of multiple physiological biomarkers by computing Mahalanobis multivariate distance over a set of biomarkers. We illustrate the potential of this method by applying it to physiological data collected on a migratory bird, the red knot, during a yearlong experiment. In this experiment, metabolism, immunity, inflammation and other physiological functions were measured on captive birds caught in the wild. We found that birds with a greater Mahalanobis distance had a lower maximal thermogenic capacity and higher scores of inflammation. Moreover, all biomarkers except one (haematocrit) showed no significant relationship with the same response variables, indicating that Mahalanobis distance captured a signal on condition that was not detected in individual biomarkers. Mahalanobis distance provides a powerful way to measure condition that accounts for its multivariate nature as well as for the integration of physiological functions into complex regulatory networks. As we discuss, this approach should also prove useful to study a variety of questions in ecophysiology and evolutionary ecology, such as the relationship between physiological dysregulation and environmental quality, the risk of outcomes such as infections or the mechanisms of adaptiv