Essays about: "data mining and disease"

Showing result 1 - 5 of 17 essays containing the words data mining and disease.

  1. 1. CondBEHRT: A Conditional Probability Based Transformer for Modeling Medical Ontology

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Linus Lerjebo; Johannes Hägglund; [2022]
    Keywords : Artificial Intelligence; Explainable AI; Machine Learning; Deep Learning; Data Mining; Electronic Health Records; Transformer; Graph Neural Network; Natural Language Processing; Hypertension; Kidney Disease; Heart Failure; Medical Ontology;

    Abstract : In recent years the number of electronic healthcare records (EHRs)has increased rapidly. EHR represents a systematized collection of patient health information in a digital format. EHR systems maintain diagnoses, medications, procedures, and lab tests associated with the patients at each time they visit the hospital or care center. READ MORE

  3. 2. Text Mining Methods for Biomedical Data Analysis

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Rakhshanda Jabeen; [2021]
    Keywords : ;

    Abstract : Biological data topic modeling has become a very prevalent topic among researchers in recent times. However, analysing countless research papers and gathering consensus regarding biomedicine is a near-impossible task for any researcher due to the complexity and quantity of material that is published. READ MORE

  4. 3. An exploratory machine learning workflow for the analysis of adverse events from clinical trials

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Margareta Carlerös; [2020-06-26]
    Keywords : Machine learning; Adverse events; Clinical trials; Data mining;

    Abstract : A new pharmaceutical drug needs to be shown to be safe and effective before it can be used to treat patients. Adverse events (AEs) are potential side-effects that are recorded during clinical trials, in which a new drug is tested in humans, and may or may not be related to the drug under study. READ MORE

  5. 4. Feature Extraction for the Cardiovascular Disease Diagnosis

    University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Author : Yu Tang; [2018]
    Keywords : ECG; Feature Extraction; CWT; Unsupervised Learning; Clustering; User interface; Feature Visualization; ECG Disease Diagnosis.;

    Abstract : Cardiovascular disease is a serious life-threatening disease. It can occur suddenly and progresses rapidly. Finding the right disease features in the early stage is important to decrease the number of deaths and to make sure that the patient can fully recover. READ MORE

  6. 5. Evaluation of Calibration Methods to Adjust for Infrequent Values in Data for Machine Learning

    University essay from Högskolan Dalarna/Mikrodataanalys

    Author : Felipe Dutra Calainho; [2018]
    Keywords : Data mining; resampling; ensemble.;

    Abstract : The performance of supervised machine learning algorithms is highly dependent on the distribution of the target variable. Infrequent values are more di_cult to predict, as there are fewer examples for the algorithm to learn patterns that contain those values. READ MORE