GB2583310A - Library screening for cancer probability - Google Patents

Library screening for cancer probability Download PDF

Info

Publication number
GB2583310A
GB2583310A GB2011046.6A GB202011046A GB2583310A GB 2583310 A GB2583310 A GB 2583310A GB 202011046 A GB202011046 A GB 202011046A GB 2583310 A GB2583310 A GB 2583310A
Authority
GB
United Kingdom
Prior art keywords
processors
remaining groups
common features
condition
predictive model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB2011046.6A
Other languages
English (en)
Other versions
GB202011046D0 (en
Inventor
Chatterjee Avijit
Wang Wendy
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by International Business Machines Corp filed Critical International Business Machines Corp
Publication of GB202011046D0 publication Critical patent/GB202011046D0/en
Publication of GB2583310A publication Critical patent/GB2583310A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
GB2011046.6A 2018-01-08 2018-12-21 Library screening for cancer probability Withdrawn GB2583310A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/864,278 US10692605B2 (en) 2018-01-08 2018-01-08 Library screening for cancer probability
PCT/IB2018/060485 WO2019135143A1 (en) 2018-01-08 2018-12-21 Library screening for cancer probability

Publications (2)

Publication Number Publication Date
GB202011046D0 GB202011046D0 (en) 2020-09-02
GB2583310A true GB2583310A (en) 2020-10-21

Family

ID=67139162

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2011046.6A Withdrawn GB2583310A (en) 2018-01-08 2018-12-21 Library screening for cancer probability

Country Status (6)

Country Link
US (3) US10692605B2 (https=)
JP (1) JP7195514B2 (https=)
CN (1) CN111512381B (https=)
DE (1) DE112018005891T5 (https=)
GB (1) GB2583310A (https=)
WO (1) WO2019135143A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190060710A1 (en) * 2017-08-18 2019-02-28 Government Of The United States, As Represented By The Secretary Of The Air Force Systems and Methods for Predicting and Optimizing Performance
US10692605B2 (en) 2018-01-08 2020-06-23 International Business Machines Corporation Library screening for cancer probability
US11450434B2 (en) * 2018-12-20 2022-09-20 HVH Precision Analytics LLC Implementation of machine-learning based query construction and pattern identification through visualization in user interfaces
US12494293B2 (en) * 2020-10-20 2025-12-09 Hewlett-Packard Development Company, L.P. Conveying aggregate psychological states of multiple individuals

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104541276A (zh) * 2012-08-07 2015-04-22 皇家飞利浦有限公司 使用基于树的空间数据结构对基因数据集的群体分类
CN107203772A (zh) * 2016-03-16 2017-09-26 阿里巴巴集团控股有限公司 一种用户类型识别方法及装置
CN107239448A (zh) * 2017-06-07 2017-10-10 长沙学院 一种解释性主成分分析方法

Family Cites Families (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0880598A4 (en) * 1996-01-23 2005-02-23 Affymetrix Inc RAPID EVALUATION OF NUCLEIC ACID ABUNDANCE DIFFERENCE, WITH A HIGH-DENSITY OLIGONUCLEOTIDE SYSTEM
US6714925B1 (en) * 1999-05-01 2004-03-30 Barnhill Technologies, Llc System for identifying patterns in biological data using a distributed network
US6839661B2 (en) * 2000-12-15 2005-01-04 Medispectra, Inc. System for normalizing spectra
US8898021B2 (en) * 2001-02-02 2014-11-25 Mark W. Perlin Method and system for DNA mixture analysis
US8478534B2 (en) * 2003-06-11 2013-07-02 The Research Foundation For The State University Of New York Method for detecting discriminatory data patterns in multiple sets of data and diagnosing disease
US20050277137A1 (en) * 2003-08-15 2005-12-15 University Of Pittsburgh Diagnostic multimarker serological profiling
US20060183131A1 (en) 2004-01-27 2006-08-17 Amir Toporik Novel nucleotide and amino acid sequences, and assays and methods of use thereof for diagnosis of breast cancer
US7689016B2 (en) * 2005-05-27 2010-03-30 Stoecker & Associates, A Subsidiary Of The Dermatology Center, Llc Automatic detection of critical dermoscopy features for malignant melanoma diagnosis
US7972770B2 (en) 2005-08-16 2011-07-05 Memorial Sloan-Kettering Cancer Center Methods of detection of cancer using peptide profiles
CA2631621C (en) 2005-11-29 2019-08-06 Cambridge Enterprise Limited Markers for breast cancer including rs2981582
EP2061885A4 (en) 2006-09-15 2011-03-09 Univ Mcgill STROMA-DERIVED PREDICTOR FOR BREAST CANCER
JP5235297B2 (ja) 2006-11-30 2013-07-10 サンデン株式会社 物品搬送収納機構
AU2008236634A1 (en) * 2007-04-05 2008-10-16 Aureon Laboratories, Inc. Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
EP2142670A1 (en) 2007-04-05 2010-01-13 Source Precision Medicine, Inc. Gene expression profiling for identification, monitoring, and treatment of breast cancer
NZ555363A (en) * 2007-05-24 2009-11-27 Pacific Edge Biotechnology Ltd Prognosis prediction for melanoma cancer
EP2156191A2 (en) * 2007-06-15 2010-02-24 Smithkline Beecham Corporation Methods and kits for predicting treatment response in type ii diabetes mellitus patients
JP5592802B2 (ja) * 2008-01-25 2014-09-17 セラノスティクス ラボラトリー 薬物応答を評価するための方法および組成物
JP5502346B2 (ja) * 2009-03-09 2014-05-28 富士フイルム株式会社 症例画像登録装置、方法およびプログラムならびに症例画像検索装置、方法、プログラムおよびシステム
US20120066163A1 (en) * 2010-09-13 2012-03-15 Nottingham Trent University Time to event data analysis method and system
WO2012040784A1 (en) * 2010-09-30 2012-04-05 Chipdx Llc Gene marker sets and methods for classification of cancer patients
JP5643430B2 (ja) * 2011-06-28 2014-12-17 インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ 主観的な階層クラスタリングにおける特徴量ごとの重みを求める情報処理装置、方法、およびプログラム
US9934361B2 (en) * 2011-09-30 2018-04-03 Univfy Inc. Method for generating healthcare-related validated prediction models from multiple sources
US20140279734A1 (en) * 2013-03-15 2014-09-18 Hewlett-Packard Development Company, L.P. Performing Cross-Validation Using Non-Randomly Selected Cases
BR112016006284B1 (pt) 2013-09-27 2022-07-26 Codexis, Inc Método implementado por computador, produto de programa de computador, e, sistema de computador
US9418342B2 (en) * 2013-12-06 2016-08-16 At&T Intellectual Property I, L.P. Method and apparatus for detecting mode of motion with principal component analysis and hidden markov model
NL1040872C2 (en) * 2013-12-18 2015-06-22 Stichting Katholieke Univ Method of analysing data from, computer program, computer readable medium and data analysis system.
US9629340B2 (en) * 2014-02-24 2017-04-25 Equus Global Holdings Llc Mobile animal surveillance and distress monitoring
WO2015189264A1 (en) * 2014-06-10 2015-12-17 Ventana Medical Systems, Inc. Predicting breast cancer recurrence directly from image features computed from digitized immunohistopathology tissue slides
ITMI20142149A1 (it) * 2014-12-16 2016-06-16 L I A Di Giuseppe Capasso Apparato di diagnosi differenziale in medicina adattato per determinare la sequenza di test ottimale atta ad identificare una patologia secondo criteri di appropriatezza diagnostica
US20170342500A1 (en) * 2014-12-19 2017-11-30 Danmarks Tekniske Universitet Method for identification of tissue or organ localization of a tumour
WO2016111993A1 (en) * 2015-01-05 2016-07-14 Skullcandy, Inc. Human performance optimization and training methods and systems
US20170061093A1 (en) * 2015-08-25 2017-03-02 Rubendran Amarasingham Clinical Dashboard User Interface System and Method
GB201521894D0 (en) 2015-12-11 2016-01-27 Immatics Biotechnologies Gmbh Novel peptides and combination of peptides for use in immunotherapy against various cancers
CN106169096B (zh) * 2016-06-24 2018-07-24 山西大学 一种机器学习系统学习性能的评估方法
US20190122397A1 (en) * 2016-07-12 2019-04-25 Mindshare Medical, Inc. Medical analytics system
US10417523B2 (en) * 2016-11-07 2019-09-17 Ayasdi Ai Llc Dimension grouping and reduction for model generation, testing, and documentation
US11244765B2 (en) * 2017-06-28 2022-02-08 Ayasdi Ai Llc Systems and methods for topological data analysis using nearest neighbors
US10834213B2 (en) * 2017-07-20 2020-11-10 International Business Machines Corporation System and method for measuring user engagement
CN107403072A (zh) * 2017-08-07 2017-11-28 北京工业大学 一种基于机器学习的2型糖尿病预测预警方法
EP3669377A1 (en) * 2017-08-14 2020-06-24 Psomagen, Inc. Disease-associated microbiome characterization process
US10692605B2 (en) 2018-01-08 2020-06-23 International Business Machines Corporation Library screening for cancer probability

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104541276A (zh) * 2012-08-07 2015-04-22 皇家飞利浦有限公司 使用基于树的空间数据结构对基因数据集的群体分类
CN107203772A (zh) * 2016-03-16 2017-09-26 阿里巴巴集团控股有限公司 一种用户类型识别方法及装置
CN107239448A (zh) * 2017-06-07 2017-10-10 长沙学院 一种解释性主成分分析方法

Also Published As

Publication number Publication date
US20190362854A1 (en) 2019-11-28
WO2019135143A1 (en) 2019-07-11
US10692605B2 (en) 2020-06-23
US20190214141A1 (en) 2019-07-11
DE112018005891T5 (de) 2020-08-13
US20200350078A1 (en) 2020-11-05
GB202011046D0 (en) 2020-09-02
CN111512381B (zh) 2024-03-29
JP7195514B2 (ja) 2022-12-26
US11521749B2 (en) 2022-12-06
JP2021509502A (ja) 2021-03-25
US11521747B2 (en) 2022-12-06
CN111512381A (zh) 2020-08-07

Similar Documents

Publication Publication Date Title
GB2583310A (en) Library screening for cancer probability
US20190087737A1 (en) Anomaly detection and automated analysis in systems based on fully masked weighted directed
US9996889B2 (en) Identifying group and individual-level risk factors via risk-driven patient stratification
US20190130247A1 (en) Multi-task feature selection neural networks
US9629598B2 (en) System and method for auto-contouring in adaptive radiotherapy
AU2015101194A4 (en) Semi-Supervised Learning Framework based on Cox and AFT Models with L1/2 Regularization for Patient’s Survival Prediction
US11120297B2 (en) Segmentation of target areas in images
US10394631B2 (en) Anomaly detection and automated analysis using weighted directed graphs
Kedia et al. Time efficient ios application for cardiovascular disease prediction using machine learning
JP2021509502A5 (https=)
Gupta et al. Integrative network modeling highlights the crucial roles of Rho-GDI signaling pathway in the progression of non-small cell lung cancer
US20200265919A1 (en) Analyzing device, analysis method program, and non-volatile storage medium
US10846616B1 (en) System and method for enhanced characterization of structured data for machine learning
Silva et al. Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features
Ghosh Breast cancer Wisconsin (diagnostic) prediction
Sinha et al. A study of feature selection and extraction algorithms for cancer subtype prediction
Cerulli Optimal initial donor selection for the synthetic control method
Feser et al. Strong screening rules for group-based slope models
US11710057B2 (en) Methods and systems for identifying patterns in data using delimited feature-regions
Sanz et al. Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation
CN116740403A (zh) 一种图像分类的方法、装置和设备
Koshechkin et al. A new method to missing value imputation for immunosignature data
Arini et al. Optimizing Heart Disease Prediction: A Collaborative Approach of Support Vector Regression and Grey Wolf Optimizer
Wang et al. A low variance error boosting algorithm
Touazi et al. Feature selection scheme based on zero-sum two-player game

Legal Events

Date Code Title Description
WAP Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1)