127 related articles for article (PubMed ID: 38608323)
1. Symptom-based drug prediction of lifestyle-related chronic diseases using unsupervised machine learning techniques.
Bhattacharjee S; Saha B; Saha S
Comput Biol Med; 2024 May; 174():108413. PubMed ID: 38608323
[TBL] [Abstract][Full Text] [Related]
2. Molecular descriptor analysis of approved drugs using unsupervised learning for drug repurposing.
Madugula SS; John L; Nagamani S; Gaur AS; Poroikov VV; Sastry GN
Comput Biol Med; 2021 Nov; 138():104856. PubMed ID: 34555571
[TBL] [Abstract][Full Text] [Related]
3. An unsupervised machine learning method for discovering patient clusters based on genetic signatures.
Lopez C; Tucker S; Salameh T; Tucker C
J Biomed Inform; 2018 Sep; 85():30-39. PubMed ID: 30016722
[TBL] [Abstract][Full Text] [Related]
4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
5. Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.
Guo F; Tang X; Zhang W; Wei J; Tang S; Wu H; Yang H
Pharmacol Res; 2020 Oct; 160():105077. PubMed ID: 32687952
[TBL] [Abstract][Full Text] [Related]
6. Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.
DeVries Z; Hoda M; Rivers CS; Maher A; Wai E; Moravek D; Stratton A; Kingwell S; Fallah N; Paquet J; Phan P;
Spine J; 2020 Feb; 20(2):213-224. PubMed ID: 31525468
[TBL] [Abstract][Full Text] [Related]
7. Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.
Orchard P; Agakova A; Pinnock H; Burton CD; Sarran C; Agakov F; McKinstry B
J Med Internet Res; 2018 Sep; 20(9):e263. PubMed ID: 30249589
[TBL] [Abstract][Full Text] [Related]
8. Sheep's coping style can be identified by unsupervised machine learning from unlabeled data.
Çakmakçı C
Behav Processes; 2022 Jan; 194():104559. PubMed ID: 34838901
[TBL] [Abstract][Full Text] [Related]
9. Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic review.
Jones PJ; Catt M; Davies MJ; Edwardson CL; Mirkes EM; Khunti K; Yates T; Rowlands AV
Gait Posture; 2021 Oct; 90():120-128. PubMed ID: 34438293
[TBL] [Abstract][Full Text] [Related]
10. An Unsupervised Machine Learning Approach to Evaluating the Association of Symptom Clusters With Adverse Outcomes Among Older Adults With Advanced Cancer: A Secondary Analysis of a Randomized Clinical Trial.
Xu H; Mohamed M; Flannery M; Peppone L; Ramsdale E; Loh KP; Wells M; Jamieson L; Vogel VG; Hall BA; Mustian K; Mohile S; Culakova E
JAMA Netw Open; 2023 Mar; 6(3):e234198. PubMed ID: 36947036
[TBL] [Abstract][Full Text] [Related]
11. Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
Alexander N; Alexander DC; Barkhof F; Denaxas S
BMC Med Inform Decis Mak; 2021 Dec; 21(1):343. PubMed ID: 34879829
[TBL] [Abstract][Full Text] [Related]
12. Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches.
Ru B; Kujawski S; Lee Afanador N; Baumgartner R; Pawaskar M; Das A
JMIR Form Res; 2023 Apr; 7():e42832. PubMed ID: 37014694
[TBL] [Abstract][Full Text] [Related]
13. Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.
Zhang Y; Xu J; Chen H; Wang J; Wu Y; Prakasam M; Xu H
Database (Oxford); 2016; 2016():. PubMed ID: 27087307
[TBL] [Abstract][Full Text] [Related]
14. What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?
Ghosh CC; McVicar D; Davidson G; Shannon C; Armour C
BMC Psychiatry; 2022 Jun; 22(1):427. PubMed ID: 35751077
[TBL] [Abstract][Full Text] [Related]
15. Drug repositioning of herbal compounds via a machine-learning approach.
Kim E; Choi AS; Nam H
BMC Bioinformatics; 2019 May; 20(Suppl 10):247. PubMed ID: 31138103
[TBL] [Abstract][Full Text] [Related]
16. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials.
Sinha P; Spicer A; Delucchi KL; McAuley DF; Calfee CS; Churpek MM
EBioMedicine; 2021 Dec; 74():103697. PubMed ID: 34861492
[TBL] [Abstract][Full Text] [Related]
17. Exploring Unsupervised Machine Learning Classification Methods for Physiological Stress Detection.
Iqbal T; Elahi A; Wijns W; Shahzad A
Front Med Technol; 2022; 4():782756. PubMed ID: 35359827
[TBL] [Abstract][Full Text] [Related]
18. Predicting prostate cancer recurrence: Introducing PCRPS, an advanced online web server.
He X; Hu S; Wang C; Yang Y; Li Z; Zeng M; Song G; Li Y; Lu Q
Heliyon; 2024 Apr; 10(7):e28878. PubMed ID: 38623253
[TBL] [Abstract][Full Text] [Related]
19. Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.
Tang M; Gao C; Goutman SA; Kalinin A; Mukherjee B; Guan Y; Dinov ID
Neuroinformatics; 2019 Jul; 17(3):407-421. PubMed ID: 30460455
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised machine learning, QSAR modelling and web tool development for streamlining the lead identification process of antimalarial flavonoids.
Zothantluanga JH; Chetia D; Rajkhowa S; Umar AK
SAR QSAR Environ Res; 2023 Feb; 34(2):117-146. PubMed ID: 36744427
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
