Search results for "analyysi"
showing 10 items of 1950 documents
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospecti…
2022
IntroductionPreeclampsia, one of the leading causes of maternal and fetal morbidity and mortality, demands accurate predictive models for the lack of effective treatment. Predictive models based on machine learning algorithms demonstrate promising potential, while there is a controversial discussion about whether machine learning methods should be recommended preferably, compared to traditional statistical models.MethodsWe employed both logistic regression and six machine learning methods as binary predictive models for a dataset containing 733 women diagnosed with preeclampsia. Participants were grouped by four different pregnancy outcomes. After the imputation of missing values, statistic…
Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music
2007
A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…
Prediction and interpolation of time series by state space models
2015
Artikkeliväitöskirja. Sisältää yhteenveto-osan ja neljä artikkelia. Article dissertation. Contains an introduction part and four articles. A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of uncertainty should be presented. Multiple sources of uncertainty are often ignored due to the complexities involved in accounting them correctly. In this dissertation, some of these problems are reviewed and some new solutions are presented. A state space approach is also advocated for an e cient and exible framework for time series forecas…
Kuka indoktrinoi ja ketä? : indoktrinaatioteorian ihmiskäsitystä etsimässä
2004
"Experience the real New Zealand - Maori culture as it is today" : representations of New Zealand and Maoris in Maori tourism websites
2012
Matkailu on maailmanlaajuisesti merkittävä ja kasvava ala. Uudessa-Seelannissa matkailulla on ollut jo pitkään merkittävä vaikutus talouteen ja koko yhteiskuntaan. Maorit ovat Uuden-Seelannin alkuperäiskansa ja vähemmistökulttuuri, sillä heitä on noin 15 prosenttia maan väestöstä. Tähän vähemmistöasemaan liittyen onkin mielenkiintoista tutkia minkälaisia representaatioita he luovat itse omasta kulttuuristaan. Matkailuun liittyy vahvasti mielikuvien luominen, sillä useimmat kulttuureihin liittyvistä matkailutuotteista perustuvat elämysten tarjoamiseen konkreettisten tuotteiden sijaan. Nämä mielikuvat ja representaatiot ovatkin tutkielman keskiössä. Tämän tutkielman tavoitteena on selvittää, …
A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine
2022
We develop a Bayesian spatio-temporal model to study pre-industrial grain market integration during the Finnish famine of the 1860s. Our model takes into account several problematic features often present when analysing multiple spatially interdependent time series. For example, compared with the error correction methodology commonly applied in econometrics, our approach allows simultaneous modelling of multiple interdependent time series avoiding cumbersome statistical testing needed to predetermine the market leader as a point of reference. Furthermore, introducing a flexible spatio-temporal structure enables analysing detailed regional and temporal dynamics of the market mechanisms. Appl…
Incoming-matkatoimistot matkailupalvelujen ulkomaan jakelukanavana : Case: Keski-Päijänteen järvimatkailu
2000
Predicting response to interpersonal counselling (IPC) from case formulation : a systematic comparison between recovered and unchanged depressive cas…
2019
We sought to explore how the process between the counsellor and patient for arriving at a case formulation may predict the outcome of manualized interpersonal counselling (IPC) for depression in primary care. Qualitative content analysis and applied conversation analysis (CA) were used to achieve depth in the understanding of case formulation process among five patients who recovered and five who were unchanged according to quantitative post-treatment change rates derived from Clinical Outcomes in Routine Evaluation– Outcome Measure (CORE-OM). Interaction in the case formulations for the recovered group was generally characterized by a joint construction effort between the counsellor and th…
Effect of CBASP therapy on the neurophysiological responses to pictures of neutral faces in depression : an event-related potential study
2017
Tämä pro gradu -tutkielma tarkastelee masentuneiden ja terveiden koehenkilöiden tunnetiedon käsittelyn eroja. Tarkoituksena on selvittää, onko masentuneiden ja terveiden koehenkilöiden välillä eroa kasvonilmeiden välittämän tunnetiedon käsittelyssä aivoissa, ja vaikuttaako kognitiivis-behavioraalinen CBASP-psykoterapia aivovasteisiin. Tutkimuksen 42 koehenkilöstä 32 oli masentuneita ja 10 terveitä. Masentuneet koehenkilöt jaettiin sattumanvaraisesti terapiaryhmään ja tavanomaisen hoidon ryhmään. Tutkimusmenetelmänä käytettiin EEG-aineiston ERP-analyysia. EEG-aineistosta tarkasteltiin kasvokuvien esittämiseen liittyvää aivoaktivaatiota. Keskiarvot kasvokuvien aiheuttamista vasteista lasketti…
Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition
2021
AbstractPrevious researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Cortical electroencephalography (EEG) oscillations act as coordinators to connect different brain regions, and various assemblies of oscillations can form different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of EEG oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli…