Machine Learning Computational Model to predict Lung Cancer Using Electronic Medical Records

被引:0
|
作者
Shlomi, Dekel [1 ,2 ]
Levi, Matanel [1 ]
Kushnir, Shiri [3 ]
Yossef, Noga [4 ]
Hoogi, Assaf [5 ]
Lazebnik, Teddy [6 ,7 ]
机构
[1] Ariel Univ, Adelson Sch Med, Ariel, Israel
[2] Clalit Hlth Serv Community Div, Pulm Clin, Ramat Gan, Israel
[3] Rabin Med Ctr, Res Author, Beilinson Campus, Petah Tiqwa, Israel
[4] Clalit Hlth Serv Community Div, Res Unit, Ramat Gan, Israel
[5] Ariel Univ, Dept Comp Sci, Ariel, Israel
[6] Ariel Univ, Dept Math, Ramat Gan, Israel
[7] UCL, Canc Inst, Dept Canc Biol, London, England
关键词
D O I
10.1183/13993003.congress-2024.OA4682
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Machine learning computational model to predict lung cancer using electronic medical records
    Levi, Matanel
    Lazebnik, Teddy
    Kushnir, Shiri
    Yosef, Noga
    Shlomi, Dekel
    CANCER EPIDEMIOLOGY, 2024, 92
  • [2] Machine learning computational model to predict lung cancer using electronic medical records". Journal: Cancer Epidemiology (vol 92, 102631, 2024)
    Levi, Matanel
    Lazebnik, Teddy
    Kushnir, Shiri
    Yosef, Noga
    Shlomi, Dekel
    CANCER EPIDEMIOLOGY, 2024, 93
  • [3] Utilizing machine learning and electronic medical records to predict preeclampsia
    Hirschberg, Carly I.
    Sirendi, Marek
    Howe, Christina
    Chatterjee, Ipsita
    Hayden, Dean
    Ton, Trung Nghia
    Tan, Zachary
    Blitz, Matthew J.
    Combs, Adriann
    Nimaroff, Michael
    Rochelson, Burton
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2023, 228 (01) : S12 - S12
  • [4] Utilizing machine learning and electronic medical records to predict postpartum preeclampsia
    Hirschberg, Carly I.
    Sirendi, Marek
    Howe, Christina
    Chatterjee, Ipsita
    Hayden, Dean
    Ton, Trung Nghia
    Tan, Zachary
    Suarez, Fernando
    Blitz, Matthew J.
    Combs, Adriann
    Nimaroff, Michael
    Rochelson, Burton
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2023, 228 (01) : S615 - S616
  • [5] Text Classification Model in Chinese Electronic Medical Records Using Machine Learning Methods
    Zhang, Ping
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 123 - 123
  • [6] Performance of Machine Learning Methods Using Electronic Medical Records to Predict Varicella Zoster Virus Infection
    Gianfrancesco, Milena
    Schmajuk, Gabriela
    Murray, Sara
    Ludwig, Dana
    Hannun, Awni
    Avati, Anand
    Tamang, Suzanne
    Yazdany, Jinoos
    ARTHRITIS & RHEUMATOLOGY, 2017, 69
  • [7] Using Machine Learning and Electronic Health Records to Predict Postpartum Depression
    Zhang, Yiye
    Joly, Rochelle
    Hermann, Alison
    Pathak, Jyotishman
    OBSTETRICS AND GYNECOLOGY, 2020, 135 : 59S - 60S
  • [8] Using Electronic Health Records and Machine Learning to Predict Postpartum Depression
    Wang, Shuojia
    Pathak, Jyotishman
    Zhang, Yiye
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 888 - 892
  • [9] Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
    Schwartz, John T.
    Gao, Michael
    Geng, Eric A.
    Mody, Kush S.
    Mikhail, Christopher M.
    Cho, Samuel K.
    NEUROSPINE, 2019, 16 (04) : 643 - 653
  • [10] Using Electronic Health Records and Machine Learning to Predict Incident Psychiatric Hospitalization
    DeFerio, Joseph
    Banerjee, Samprit
    Alexopoulos, George
    Pathak, Jyotishman
    BIOLOGICAL PSYCHIATRY, 2020, 87 (09) : S68 - S69