Sökning: "histograms"

Visar resultat 6 - 10 av 80 uppsatser innehållade ordet histograms.

1. 6. Endometriosis and Its Correlation with Lifestyle Factors and Health Indicators : A Data Mining Approach Using R and Python

   Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Jonas Stylbäck; Ella Villför; [2023]
   Nyckelord :Endometriosis; lifestyle factors; correspondence analysis; data mining; Endometrios; livsstil; korrespondensanalys; datautvinning;

   Sammanfattning : Around 10% of women in fertile age have endometriosis, despite this there is little known about its origin. It can take years from the first experienced symptoms to an established diagnosis, which is done using invasive methods. LÄS MER

3. 7. Inclusion of more sources in a commercial brachytherapy Monte Carlo

   Kandidat-uppsats,

   Författare :Philip Wiman; Emil Forsberg; Robin Vestling; [2023]
   Nyckelord :;

   Sammanfattning : Brachytherapy is a cancer treatment method where a solid radioactive source is placed inside the body in order to target cancer cells with a high dose of radiation while minimizing damage to surrounding healthy tissue. The most common method for treatment planning in brachytherapy is the TG43 formalism where the whole patient geometry is treated as water. LÄS MER

4. 8. Face Identification Using Eigenfaces and LBPH : A Comparative Study

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :DEVI DEEPSHIKHA JAMI; NANDA SRIRAAM KAMBHAM; [2023]
   Nyckelord :face identification; LBPH; Eigenfaces;

   Sammanfattning : Background: With the rise of digitalization, there has been an increasing needfor secure and effective identification solutions, particularly in the realm of votingsystems. Facial biometric technology has emerged as a potential solution to combat fraud and improve the transparency and security of the voting process. LÄS MER

5. 9. Automatic classification of cardiovascular age of healthy people by dynamical patterns of the heart rhythm

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :priya kurian pullolickal; [2022]
   Nyckelord :Electrocardiogram ECG measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that; the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis; skew; mean; me- dian; histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform DFT for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset.;

   Sammanfattning : .... LÄS MER

7. 10. Scalable Algorithms in NonparametricComputational Statistics

   Master-uppsats, Uppsala universitet/Statistik, AI och data science

   Författare :Johannes Graner; [2022]
   Nyckelord :;

   Sammanfattning : Three problems in distributed computing and non-parametric computationalstatistics are explored to develop scalable distributed algorithms. The problemsare rigorous global optimization, trend detection in time series, and nonparametricdensity estimation with tree-based histograms. LÄS MER