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Found 5 essays matching the above criteria.

1. 1. Explaining Mortality Prediction With Logistic Regression

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Alva Johansson Staaf; Victor Engdahl; [2022]
   Keywords : Machine Learning; Logistic Regression; Mortality Prediction; Explainability; MIMIC-III;

   Abstract : Explainability is a key component in building trust for computer calculated predictions when they are applied to areas with influence over individual people. This bachelor thesis project report focuses on the explanation regarding the decision making process of the machine learning method Logistic Regression when predicting mortality. READ MORE

3. 2. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Farbod Haselzadeh; [2021]
   Keywords : Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

   Abstract : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. READ MORE

4. 3. Identification of risk factors associated withunplanned readmission, palliative decision ormortality within 30 days at the acute admissionsunit during 2019 – a retrospective cohort study.

   University essay from Örebro universitet/Institutionen för medicinska vetenskaper

   Author : Ida Dahlgren; [2020]
   Keywords : readmission; mortality; National Early Warning Score NEWS ; municipality support; clinical frailty scale CFS ;

   Abstract : Introduction: A recent study at the acute admission unit (AAU), revealed that 13.5 percent ofall patients discharged from the department, were readmitted within 30 days during 2018. Inthe group of 80 years and above, the cause for re-admission was multifactorial. READ MORE

5. 4. DDoS datasets : Use of machine learning to analyse intrusion detection performance

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Stefanos Kiourkoulis; [2020]
   Keywords : ;

   Abstract : Threats of malware, attacks and intrusion have been around since the very conception ofcomputing. Yet, it was not until the sudden growth of the internet that awareness of security anddigital assets really started to pick up steam. READ MORE

6. 5. Trend analysis of custome rbehavior and prediction of future actions

   University essay from Lunds universitet/Matematisk statistik

   Author : Mikael Hultkvist; Emil Blohmé; [2017]
   Keywords : E-commerce; Predictions; Modelevaluation; Logisticregression; Clustering.; Mathematics and Statistics;

   Abstract : E-commerceisgrowingwithinalotsofareas. Itcreatesnewchallengesbutalsoalot of possibilities for the companies. In this thesis we will try to understand customer behaviorthroughaparametricmodel,namelylogisticregression. Theavailabledata isprovidedbyabigcompanyinSwedenwhichissellingproductsthatcanbebought weekly. READ MORE