Nothing Special   »   [go: up one dir, main page]

Elhadary et al., 2023 - Google Patents

Applications of machine learning in chronic myeloid leukemia

Elhadary et al., 2023

View HTML
Document ID
11787335882197752152
Author
Elhadary M
Elsabagh A
Ferih K
Elsayed B
Elshoeibi A
Kaddoura R
Akiki S
Ahmed K
Yassin M
Publication year
Publication venue
Diagnostics

External Links

Snippet

Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by dysregulated growth and the proliferation of myeloid cells in the bone marrow caused by the BCR-ABL1 fusion gene. Clinically, CML demonstrates an increased production of mature …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • 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
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • 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
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • 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
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • 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
    • G06F19/36Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
    • 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
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Ahsan et al. Covid-19 symptoms detection based on nasnetmobile with explainable ai using various imaging modalities
Krishnamurthy et al. Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan
Chaves et al. Data mining techniques for early diagnosis of diabetes: a comparative study
Kitamura et al. Deep learning could diagnose diabetic nephropathy with renal pathological immunofluorescent images
Huyut et al. Diagnosis and Prognosis of COVID-19 disease using routine blood values and LogNNet neural network
Khan et al. Using a deep learning model to explore the impact of clinical data on COVID-19 diagnosis using chest X-ray
Góngora Alonso et al. Comparison of machine learning algorithms in the prediction of hospitalized patients with schizophrenia
Elhadary et al. Applications of machine learning in chronic myeloid leukemia
Goździkiewicz et al. The use of artificial intelligence algorithms in the diagnosis of urinary tract infections—a literature review
Attai et al. A systematic review of applications of machine learning and other soft computing techniques for the diagnosis of tropical diseases
Laddha et al. COVID-19 diagnosis and classification using radiological imaging and deep learning techniques: a comparative study
Alanazi et al. Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients
Kakoly et al. Data-driven diabetes risk factor prediction using machine learning algorithms with feature selection technique
Oei et al. Progression-free survival prediction in patients with nasopharyngeal carcinoma after intensity-modulated radiotherapy: machine learning vs. traditional statistics
Mendoza-Larios et al. Association between suicide and Toxoplasma gondii seropositivity
Exarchos et al. Recent advances of artificial intelligence applications in interstitial lung diseases
Ayadi et al. COVID-AleXception: A deep learning model based on a deep feature concatenation approach for the detection of COVID-19 from chest X-ray images
Giełczyk et al. A novel lightweight approach to COVID-19 diagnostics based on chest X-ray images
Mohammedqasim et al. Diagnosing coronary artery disease on the basis of hard ensemble voting optimization
Pullakhandam et al. Classification and Explanation of Iron Deficiency Anemia from Complete Blood Count Data Using Machine Learning
Tore et al. Diagnosis of endometriosis based on comorbidities: a machine learning Approach
Suo et al. Discrepancy analysis between histology and molecular diagnoses in kidney allograft biopsies: a single-center experience
Vigia et al. Pancreas Rejection in the Artificial Intelligence Era: New Tool for Signal Patients at Risk
Qiao et al. An end-to-end pipeline for early diagnosis of acute promyelocytic leukemia based on a compact CNN model
Scanlon et al. Developing an agnostic risk prediction model for early AKI detection in cancer patients