1052 related articles for article (PubMed ID: 36585641)
21. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S
Front Neurol; 2023; 14():1185447. PubMed ID: 37614971
[TBL] [Abstract][Full Text] [Related]
22. Supervised learning applied to classifying fallers versus non-fallers among older adults with cancer.
Ramsdale E; Kunduru M; Smith L; Culakova E; Shen J; Meng S; Zand M; Anand A
J Geriatr Oncol; 2023 May; 14(4):101498. PubMed ID: 37084629
[TBL] [Abstract][Full Text] [Related]
23. Assessment and quantification of ovarian reserve on the basis of machine learning models.
Ding T; Ren W; Wang T; Han Y; Ma W; Wang M; Fu F; Li Y; Wang S
Front Endocrinol (Lausanne); 2023; 14():1087429. PubMed ID: 37008906
[TBL] [Abstract][Full Text] [Related]
24. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
[TBL] [Abstract][Full Text] [Related]
25. A survival prediction model via interpretable machine learning for patients with oropharyngeal cancer following radiotherapy.
Pan X; Feng T; Liu C; Savjani RR; Chin RK; Sharon Qi X
J Cancer Res Clin Oncol; 2023 Aug; 149(10):6813-6825. PubMed ID: 36807760
[TBL] [Abstract][Full Text] [Related]
26. A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records.
Li Q; Li J; Chen J; Zhao X; Zhuang J; Zhong G; Song Y; Lei L
BMC Cardiovasc Disord; 2024 Jan; 24(1):56. PubMed ID: 38238677
[TBL] [Abstract][Full Text] [Related]
27. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
Liu Y; Song C; Tian Z; Shen W
Int J Gen Med; 2023; 16():1909-1925. PubMed ID: 37228741
[TBL] [Abstract][Full Text] [Related]
28. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.
Pan P; Li Y; Xiao Y; Han B; Su L; Su M; Li Y; Zhang S; Jiang D; Chen X; Zhou F; Ma L; Bao P; Xie L
J Med Internet Res; 2020 Nov; 22(11):e23128. PubMed ID: 33035175
[TBL] [Abstract][Full Text] [Related]
29. Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU.
Lu X; Chen Y; Zhang G; Zeng X; Lai L; Qu C
J Stroke Cerebrovasc Dis; 2024 Jul; 33(7):107729. PubMed ID: 38657830
[TBL] [Abstract][Full Text] [Related]
30. Application of machine learning algorithm in predicting distant metastasis of T1 gastric cancer.
Tian H; Liu Z; Liu J; Zong Z; Chen Y; Zhang Z; Li H
Sci Rep; 2023 Apr; 13(1):5741. PubMed ID: 37029221
[TBL] [Abstract][Full Text] [Related]
31. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
Front Oncol; 2022; 12():944569. PubMed ID: 35957890
[TBL] [Abstract][Full Text] [Related]
32. A Model for Predicting Cervical Cancer Using Machine Learning Algorithms.
Al Mudawi N; Alazeb A
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684753
[TBL] [Abstract][Full Text] [Related]
33. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
Lin C; Liang Z; Liu J; Sun W
Front Surg; 2023; 10():1160085. PubMed ID: 37351328
[TBL] [Abstract][Full Text] [Related]
34. Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.
Yu M; Yuan Z; Li R; Shi B; Wan D; Dong X
Front Oncol; 2024; 14():1337219. PubMed ID: 38380369
[TBL] [Abstract][Full Text] [Related]
35. Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
Huang T; Le D; Yuan L; Xu S; Peng X
PLoS One; 2023; 18(1):e0280606. PubMed ID: 36701342
[TBL] [Abstract][Full Text] [Related]
36. Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer.
Hsu WH; Ko AT; Weng CS; Chang CL; Jan YT; Lin JB; Chien HJ; Lin WC; Sun FJ; Wu KP; Lee J
J Cachexia Sarcopenia Muscle; 2023 Oct; 14(5):2044-2053. PubMed ID: 37435785
[TBL] [Abstract][Full Text] [Related]
37. Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.
Yang B; Zhong J; Yang Y; Xu J; Liu H; Liu J
Urolithiasis; 2024 Jun; 52(1):96. PubMed ID: 38896174
[TBL] [Abstract][Full Text] [Related]
38. Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms.
Mao Y; Huang Y; Xu L; Liang J; Lin W; Huang H; Li L; Wen J; Chen G
Front Oncol; 2022; 12():816427. PubMed ID: 35800057
[TBL] [Abstract][Full Text] [Related]
39. Machine learning algorithms being an auxiliary tool to predict the overall survival of patients with renal cell carcinoma using the SEER database.
Jiang W; Chen Z; Chen C; Wang L; Han T; Wen L
Transl Androl Urol; 2024 Jan; 13(1):53-63. PubMed ID: 38404544
[TBL] [Abstract][Full Text] [Related]
40. Diabetes prediction using machine learning and explainable AI techniques.
Tasin I; Nabil TU; Islam S; Khan R
Healthc Technol Lett; 2023; 10(1-2):1-10. PubMed ID: 37077883
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
