[go: up one dir, main page]

Vinattieri et al., 2024 - Google Patents

Risk prediction and family history effect in survival models for disease onset, with a specific focus on breast cancer.

Vinattieri et al., 2024

View PDF
Document ID
8048871112210106649
Author
Vinattieri M
et al.
Publication year

External Links

Snippet

We are interested in a specific aspect related to modelling disease onset, ie the study of family-specific risk. Generally, quantifying the family-specific risk of developing a disease is crucial to improve the patient's survival, and healthcare data provide an essential tool to …
Continue reading at iris.unibocconi.it (PDF) (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
    • G06F19/34Computer-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
    • 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
    • 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
    • G06F19/3487Medical report generation
    • 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
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • 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
    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • 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
    • G06F19/22Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • 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
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers

Similar Documents

Publication Publication Date Title
Sala et al. Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging
Dey et al. Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks
EP1179990A1 (en) System and method for predicting disease onset
US20200321091A1 (en) System and method for prediction of medical treatment effect
Bellot et al. Tree-based bayesian mixture model for competing risks
Timbergen et al. Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics
Lipsitz et al. Non‐ignorable missing covariates in generalized linear models
Shen et al. A Bayesian model for estimating multi-state disease progression
Lavalley‐Morelle et al. Joint modeling under competing risks: Application to survival prediction in patients admitted in Intensive Care Unit for sepsis with daily Sequential Organ Failure Assessment score assessments
Vinattieri Risk prediction and family history effect in survival models for disease onset, with a specific focus on breast cancer.
Elie et al. A methodological framework to distinguish spectrum effects from spectrum biases and to assess diagnostic and screening test accuracy for patient populations: application to the Papanicolaou cervical cancer smear test
Matheson et al. Simultaneous multifactor Bayesian analysis (SiMBA) of PET time activity curve data
Cong et al. Estimation of age‐specific sensitivity and sojourn time in breast cancer screening studies
Hanin et al. Multivariate distributions of clinical covariates at the time of cancer detection
Wang et al. Enhancing outcome prediction in intracerebral hemorrhage through deep learning: a retrospective multicenter study
Storey et al. Spatial measures of genetic heterogeneity during carcinogenesis
Madi Optimal Cut-Points for Diagnostic Variables in Complex Surveys
Titman et al. Accounting for bias due to a non‐ignorable tracing mechanism in a retrospective breast cancer cohort study
Momenyan et al. Competing risks model for clustered data based on the subdistribution hazards with spatial random effects
Sangachin A Statistical Decision Support System Incorporating Personalised Adaptive Reference Ranges for Longitudinal Monitoring in Prostate Cancer
Zhao et al. Prognostic prediction and analysis of key factors: a study of haemorrhagic stroke based on LGBM regression and structural equation modelling Prognostic Prediction of Haemorrhagic Stroke Factors LGBM Regression and Structural Equation Modelling Analysis
Shafi et al. The Uses of Multiple Linear Regression as A Predictive Model for Factors of Breast Cancer in Malaysia
Pavlık of dissertation Mathematical models in oncology
Charrier Study of the occurrence of multiple iatrogenic events in long-term survivors of childhood cancer
Gadhiya Survival analysis of patients with colorectal cancer using semi-supervised learning