These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. A machine-learning approach for nonalcoholic steatohepatitis susceptibility estimation. Ghadiri F; Husseini AA; Öztaş O Indian J Gastroenterol; 2022 Oct; 41(5):475-482. PubMed ID: 36367682 [TBL] [Abstract][Full Text] [Related]
3. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods. Wang X; Wan Q; Chen H; Li Y; Li X Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795 [TBL] [Abstract][Full Text] [Related]
4. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study. Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416 [TBL] [Abstract][Full Text] [Related]
5. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study. Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359 [No Abstract] [Full Text] [Related]
6. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines. Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352 [TBL] [Abstract][Full Text] [Related]
7. Comparison of ischemic stroke diagnosis models based on machine learning. Yang WX; Wang FF; Pan YY; Xie JQ; Lu MH; You CG Front Neurol; 2022; 13():1014346. PubMed ID: 36545400 [TBL] [Abstract][Full Text] [Related]
8. Raman spectroscopy combined with machine learning algorithms for rapid detection Primary Sjögren's syndrome associated with interstitial lung disease. Wu X; Chen C; Chen X; Luo C; Lv X; Shi Y; Yang J; Meng X; Chen C; Su J; Wu L Photodiagnosis Photodyn Ther; 2022 Dec; 40():103057. PubMed ID: 35944848 [TBL] [Abstract][Full Text] [Related]
9. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage. Geng Z; Yang C; Zhao Z; Yan Y; Guo T; Liu C; Wu A; Wu X; Wei L; Tian Y; Hu P; Wang K J Transl Med; 2024 Mar; 22(1):236. PubMed ID: 38439097 [TBL] [Abstract][Full Text] [Related]
10. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data. Zhang Y; Deng Q; Liang W; Zou X Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989 [TBL] [Abstract][Full Text] [Related]
11. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage. Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327 [TBL] [Abstract][Full Text] [Related]
12. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning]. Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445 [TBL] [Abstract][Full Text] [Related]
13. Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree. Li K; Shi Q; Liu S; Xie Y; Liu J Medicine (Baltimore); 2021 May; 100(19):e25813. PubMed ID: 34106618 [TBL] [Abstract][Full Text] [Related]
14. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms]. Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626 [TBL] [Abstract][Full Text] [Related]
15. Differential Diagnosis of Prostate Cancer Grade to Augment Clinical Diagnosis Based on Classifier Models with Tuned Hyperparameters. Alanezi ST; Kraśny MJ; Kleefeld C; Colgan N Cancers (Basel); 2024 Jun; 16(11):. PubMed ID: 38893281 [TBL] [Abstract][Full Text] [Related]
16. Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion. Duan C; Liu F; Gao S; Zhao J; Niu L; Li N; Liu S; Wang G; Zhou X; Ren Y; Xu W; Liu X Clin Neuroradiol; 2022 Mar; 32(1):215-223. PubMed ID: 34156513 [TBL] [Abstract][Full Text] [Related]
17. Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach. Tai KY; Dhaliwal J; Wong K BMC Bioinformatics; 2022 Aug; 23(1):325. PubMed ID: 35934714 [TBL] [Abstract][Full Text] [Related]
18. Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs. Park JY; Lee SH; Kim YJ; Kim KG; Lee GJ PLoS One; 2024; 19(5):e0304350. PubMed ID: 38814948 [TBL] [Abstract][Full Text] [Related]
19. Mapping the spatial distribution of the dengue vector Rahman MS; Pientong C; Zafar S; Ekalaksananan T; Paul RE; Haque U; Rocklöv J; Overgaard HJ One Health; 2021 Dec; 13():100358. PubMed ID: 34934797 [TBL] [Abstract][Full Text] [Related]
20. Union With Recursive Feature Elimination: A Feature Selection Framework to Improve the Classification Performance of Multicategory Causes of Death in Colorectal Cancer. Deng F; Zhao L; Yu N; Lin Y; Zhang L Lab Invest; 2024 Mar; 104(3):100320. PubMed ID: 38158124 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]