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.
1243 related articles for article (PubMed ID: 31521253)
1. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253 [TBL] [Abstract][Full Text] [Related]
2. Estimation of Caffeine Regimens: A Machine Learning Approach for Enhanced Clinical Decision Making at a Neonatal Intensive Care Unit (NICU). Shirwaikar RD Crit Rev Biomed Eng; 2018; 46(2):93-115. PubMed ID: 30055527 [TBL] [Abstract][Full Text] [Related]
3. Deep convolutional neural network and IoT technology for healthcare. Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147 [TBL] [Abstract][Full Text] [Related]
4. Machine learning and deep learning methods that use omics data for metastasis prediction. Albaradei S; Thafar M; Alsaedi A; Van Neste C; Gojobori T; Essack M; Gao X Comput Struct Biotechnol J; 2021; 19():5008-5018. PubMed ID: 34589181 [TBL] [Abstract][Full Text] [Related]
5. Deep generative learning for automated EHR diagnosis of traditional Chinese medicine. Liang Z; Liu J; Ou A; Zhang H; Li Z; Huang JX Comput Methods Programs Biomed; 2019 Jun; 174():17-23. PubMed ID: 29801696 [TBL] [Abstract][Full Text] [Related]
6. Seminal quality prediction using data mining methods. Sahoo AJ; Kumar Y Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862 [TBL] [Abstract][Full Text] [Related]
7. Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best? Karnuta JM; Navarro SM; Haeberle HS; Helm JM; Kamath AF; Schaffer JL; Krebs VE; Ramkumar PN J Arthroplasty; 2019 Oct; 34(10):2235-2241.e1. PubMed ID: 31230954 [TBL] [Abstract][Full Text] [Related]
8. Prediction and feature selection of low birth weight using machine learning algorithms. Reza TB; Salma N J Health Popul Nutr; 2024 Oct; 43(1):157. PubMed ID: 39396025 [TBL] [Abstract][Full Text] [Related]
9. Automated Amharic News Categorization Using Deep Learning Models. Endalie D; Haile G Comput Intell Neurosci; 2021; 2021():3774607. PubMed ID: 34354742 [TBL] [Abstract][Full Text] [Related]
10. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models. Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090 [TBL] [Abstract][Full Text] [Related]
11. Comparative Study of Classification Algorithms for Various DNA Microarray Data. Kim J; Yoon Y; Park HJ; Kim YH Genes (Basel); 2022 Mar; 13(3):. PubMed ID: 35328048 [TBL] [Abstract][Full Text] [Related]
12. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling. Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850 [TBL] [Abstract][Full Text] [Related]
13. Cleft prediction before birth using deep neural network. Shafi N; Bukhari F; Iqbal W; Almustafa KM; Asif M; Nawaz Z Health Informatics J; 2020 Dec; 26(4):2568-2585. PubMed ID: 32283987 [TBL] [Abstract][Full Text] [Related]
14. Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study. Chen G; Lu M; Shi Z; Xia S; Ren Y; Liu Z; Liu X; Li Z; Mao L; Li XL; Zhang B; Zhang LJ; Lu GM Eur Radiol; 2020 Sep; 30(9):5170-5182. PubMed ID: 32350658 [TBL] [Abstract][Full Text] [Related]
15. Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study. Elamrani Abou Elassad Z; Mousannif H; Al Moatassime H Traffic Inj Prev; 2020; 21(3):201-208. PubMed ID: 32125890 [No Abstract] [Full Text] [Related]
16. 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]
17. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets. Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673 [TBL] [Abstract][Full Text] [Related]
19. Classification of white blood cells using weighted optimized deformable convolutional neural networks. Yao X; Sun K; Bu X; Zhao C; Jin Y Artif Cells Nanomed Biotechnol; 2021 Dec; 49(1):147-155. PubMed ID: 33533656 [TBL] [Abstract][Full Text] [Related]
20. Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network. Huang J; Cai Y; Wu X; Huang X; Liu J; Hu D Comput Methods Programs Biomed; 2024 Nov; 256():108403. PubMed ID: 39236563 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]