[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Majhi et al., 2023 - Google Patents

Wavelet based ensemble models for early mortality prediction using imbalance icu big data

Majhi et al., 2023

Document ID
2310052456770621669
Author
Majhi B
Kashyap A
Publication year
Publication venue
Smart Health

External Links

Snippet

ICU mortality prediction is critical for board-certified physician to make efficient decision for seriously sick patients who stay in the ICU. Various techniques have been developed to overcome this problem based on the medical records. However, some physiological tests …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141Discrete Fourier transforms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3431Calculating a health index for the patient, e.g. for risk assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/726Details of waveform analysis characterised by using transforms using Wavelet transforms

Similar Documents

Publication Publication Date Title
Nithya et al. Evaluation of machine learning based optimized feature selection approaches and classification methods for cervical cancer prediction
Polat A hybrid approach to Parkinson disease classification using speech signal: the combination of smote and random forests
van der Ploeg et al. Modern modeling techniques had limited external validity in predicting mortality from traumatic brain injury
Majhi et al. Wavelet based ensemble models for early mortality prediction using imbalance icu big data
Übeyli et al. Improving medical diagnostic accuracy of ultrasound Doppler signals by combining neural network models
Afrin et al. Supervised machine learning based liver disease prediction approach with LASSO feature selection
Hanbay An expert system based on least square support vector machines for diagnosis of the valvular heart disease
CN105184103A (en) Virtual medical expert based on medical record database
Ceylan et al. Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease
Noor et al. Machine learning algorithms and quantitative electroencephalography predictors for outcome prediction in traumatic brain injury: A systematic review
CN106446566A (en) Elderly cognitive function classification method based on random forest
CN112101413A (en) Intelligent system for stroke risk prediction
CN104182621A (en) DBN based ADHD discriminatory analysis method
Xu et al. Realistic preterm prediction based on optimized synthetic sampling of EHG signal
Wang et al. Bayesian curve classification using wavelets
Estiri et al. Kluster: an efficient scalable procedure for approximating the number of clusters in unsupervised learning
Lou et al. Bio-process inspired characterization of pregnancy evolution using entropy and its application in preterm birth detection
Admass et al. Arrhythmia classification using ECG signal: a meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model
Dimitri et al. Unsupervised stratification in neuroimaging through deep latent embeddings
Shahrdad et al. Detection of preterm labor by partitioning and clustering the EHG signal
Xue et al. CT-based COPD identification using multiple instance learning with two-stage attention
CN106980753B (en) A kind of data-driven machine learning method based on voxel analysis for neurological disease
CN105894493A (en) FMRI data feature selection method based on stability selection
Mascarenhas et al. Analysis and classification of vibroarthrographic signals using tuneable ‘Q’wavelet transform
Vandewiele et al. A critical look at studies applying over-sampling on the tpehgdb dataset