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. Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics. Lai PK; Gallegos A; Mody N; Sathish HA; Trout BL MAbs; 2022; 14(1):2026208. PubMed ID: 35075980 [TBL] [Abstract][Full Text] [Related]
3. A machine learning-based framework to identify type 2 diabetes through electronic health records. Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371 [TBL] [Abstract][Full Text] [Related]
4. Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches. Wang J; Yang B; An Y; Marquez-Lago T; Leier A; Wilksch J; Hong Q; Zhang Y; Hayashida M; Akutsu T; Webb GI; Strugnell RA; Song J; Lithgow T Brief Bioinform; 2019 May; 20(3):931-951. PubMed ID: 29186295 [TBL] [Abstract][Full Text] [Related]
5. Predicting Inhibitors for Multidrug Resistance Associated Protein-2 Transporter by Machine Learning Approach. Kharangarh S; Sandhu H; Tangadpalliwar S; Garg P Comb Chem High Throughput Screen; 2018; 21(8):557-566. PubMed ID: 30360705 [TBL] [Abstract][Full Text] [Related]
6. A machine-learning approach to predict postprandial hypoglycemia. Seo W; Lee YB; Lee S; Jin SM; Park SM BMC Med Inform Decis Mak; 2019 Nov; 19(1):210. PubMed ID: 31694629 [TBL] [Abstract][Full Text] [Related]
7. A Machine Learning-Based QSAR Model for Benzimidazole Derivatives as Corrosion Inhibitors by Incorporating Comprehensive Feature Selection. Liu Y; Guo Y; Wu W; Xiong Y; Sun C; Yuan L; Li M Interdiscip Sci; 2019 Dec; 11(4):738-747. PubMed ID: 31486019 [TBL] [Abstract][Full Text] [Related]
8. Item response theory as a feature selection and interpretation tool in the context of machine learning. Kline AS; Kline TJB; Lee J Med Biol Eng Comput; 2021 Feb; 59(2):471-482. PubMed ID: 33534111 [TBL] [Abstract][Full Text] [Related]
16. Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients. Shtar G; Rokach L; Shapira B; Nissan R; Hershkovitz A Arch Phys Med Rehabil; 2021 Mar; 102(3):386-394. PubMed ID: 32949551 [TBL] [Abstract][Full Text] [Related]
17. Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease. Wang C; Chen X; Du L; Zhan Q; Yang T; Fang Z Comput Methods Programs Biomed; 2020 May; 188():105267. PubMed ID: 31841787 [TBL] [Abstract][Full Text] [Related]
18. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status. Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122 [TBL] [Abstract][Full Text] [Related]