Machine learning algorithms can predict recipient length of ICU stay from pre-operative recipient characteristics and normothermic machine perfusion data

被引:0
|
作者
Shanmugarajah, K. [1 ]
Wehrle, C. [1 ]
Lodha, R. [1 ]
Ali, K. [1 ]
Cazzaniga, B. [1 ]
Miyazaki, Y. [1 ]
Tuul, M. [1 ]
Liu, Q. [1 ]
Eghtesad, B. [1 ]
Kwon, D. [1 ]
Aucejo, F. [1 ]
Kim, J. [1 ]
Schlegel, A. [1 ]
Fujiki, M. [1 ]
Miller, C. [1 ]
Khalil, M. [1 ]
Pita, A. [1 ]
Hashimoto, K. [1 ]
机构
[1] Cleveland Clin, Cleveland, OH USA
关键词
D O I
暂无
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
eP-223
引用
收藏
页码:196 / 196
页数:1
相关论文
共 47 条
  • [21] Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
    Gajowniczek, Krzysztof
    Zabkowski, Tomasz
    Sodenkamp, Mariya
    APPLIED SCIENCES-BASEL, 2018, 8 (09):
  • [22] Augmenting pre-operative risk of recurrence stratification in differentiated thyroid carcinoma using machine learning and high dimensional transcriptional data from thyroid FNA.
    Sherman, Steven I.
    Pagan, Moraima
    Huang, Jing
    Lin, Bamboo
    Diggans, James
    Tom, Ed
    Haugen, Bryan
    Tuttle, R. Michael
    Kennedy, Giulia
    JOURNAL OF CLINICAL ONCOLOGY, 2015, 33 (15)
  • [23] Can algorithms that analyze machine data predict adherence to CPAP therapy? Data from the Pays de la Loire Sleep Cohort
    Sabil, A.
    Stitt, C.
    Le Vaillant, M.
    Meslier, N.
    Gagnadoux, F.
    JOURNAL OF SLEEP RESEARCH, 2020, 29 : 150 - 150
  • [24] Can Machine Learning Predict Hospitalization From Sparse Interstage Home Monitoring Data of Single Ventricle Infants?
    Banerjee, Anirban
    Tsui, Fuchiang R.
    Marin, Jorge J. Guerra
    Ruiz, Victor
    Natarajan, Shobha
    Szwast, Anita L.
    Stagg, Alyson
    Giglia, Therese M.
    CIRCULATION, 2019, 140
  • [25] Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?
    Fontana, Mark Alan
    Lyman, Stephen
    Sarker, Gourab K.
    Padgett, Douglas E.
    MacLean, Catherine H.
    CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2019, 477 (06) : 1267 - 1279
  • [26] Machine Learning Model Trained with Finite Element Modeling Can Predict the Risk of Osteoarthritis: Data from the Osteoarthritis Initiative
    Mononen, Mika E.
    Liukkonen, Mimmi K.
    Turunen, Mikael J.
    APPLIED SCIENCES-BASEL, 2024, 14 (20):
  • [27] Can machine learning predict late seizures after intracerebral hemorrhages? Evidence from real-world data
    Lekoubou, Alain
    Petucci, Justin
    Ajala, Temitope Femi
    Katoch, Avnish
    Hong, Jinpyo
    Sen, Souvik
    Bonilha, Leonardo
    Chinchilli, Vernon M.
    Honavar, Vasant
    EPILEPSY & BEHAVIOR, 2024, 157
  • [28] CAN MACHINE LEARNING ALGORITHMS ASSOCIATED WITH TEXT MINING FROM INTERNET DATA IMPROVE HOUSING PRICE PREDICTION PERFORMANCE?
    Guo, Jian-qiang
    Chiang, Shu-hen
    Liu, Min
    Yang, Chi-Chun
    Gou, Kai-yi
    INTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENT, 2020, 24 (05) : 300 - 312
  • [29] Ability of Machine Learning Algorithms to Predict Stage 2 Hypertension Using Health Examination Data from Japanese General Population
    Kawasoe, Shin
    Kubozono, Takuro
    Ojima, Satoko
    Kawabata, Takeko
    Salim, Anwar A.
    Miyahara, Hironori
    Tokushige, Koichi
    Ohishi, Mitsuru
    CIRCULATION, 2021, 144
  • [30] Ability of Machine Learning Algorithms to Predict Chronic Kidney Disease Using Health Examination Data From the Japanese General Population
    Kawasoe, Shin
    Kubozono, Takuro
    Salim, Anwar
    Ojima, Satoko
    Kawabata, Takeko
    Ikeda, Yoshiyuki
    Miyahara, Hironori
    Koichi, Tokushige
    Ohishi, Mitsuru
    CIRCULATION, 2022, 146