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For: Mei J, Desrosiers C, Frasnelli J. Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature. Front Aging Neurosci 2021;13:633752. [PMID: 34025389 DOI: 10.3389/fnagi.2021.633752] [Cited by in Crossref: 1] [Cited by in F6Publishing: 19] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 B. Vidya, Sasikumar P.. Parkinson’s disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network. Engineering Applications of Artificial Intelligence 2022;114:105099. [DOI: 10.1016/j.engappai.2022.105099] [Reference Citation Analysis]
2 Guo Y, Yang J, Liu Y, Chen X, Yang G. Detection and assessment of Parkinson's disease based on gait analysis: A survey. Front Aging Neurosci 2022;14:916971. [DOI: 10.3389/fnagi.2022.916971] [Reference Citation Analysis]
3 Al-otaibi S, Ayouni S, Khan MMH, Badr M, Rokaya D. A Novel Method for Parkinson’s Disease Diagnosis Utilizing Treatment Protocols. BioMed Research International 2022;2022:1-6. [DOI: 10.1155/2022/6871623] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Deng P, Xu K, Zhou X, Xiang Y, Xu Q, Sun Q, Li Y, Yu H, Wu X, Yan X, Guo J, Tang B, Liu Z. Constructing prediction models for excessive daytime sleepiness by nomogram and machine learning: A large Chinese multicenter cohort study. Front Aging Neurosci 2022;14:938071. [DOI: 10.3389/fnagi.2022.938071] [Reference Citation Analysis]
5 Qiu L, Li J, Pan J. Parkinson’s disease detection based on multi-pattern analysis and multi-scale convolutional neural networks. Front Neurosci 2022;16:957181. [DOI: 10.3389/fnins.2022.957181] [Reference Citation Analysis]
6 Roussos G, Herrero TR, Hill DL, Dowling AV, L T M Müller M, Evers LJW, Burton J, Derungs A, Fisher K, Kilambi KP, Mehrotra N, Bhatnagar R, Sardar S, Stephenson D, Adams JL, Ray Dorsey E, Cosman J. Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease. NPJ Digit Med 2022;5:93. [PMID: 35840653 DOI: 10.1038/s41746-022-00643-4] [Reference Citation Analysis]
7 Ghane M, Ang MC, Nilashi M, Sorooshian S. Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification. Biocybernetics and Biomedical Engineering 2022;42:902-20. [DOI: 10.1016/j.bbe.2022.07.002] [Reference Citation Analysis]
8 Safi K, Aly WHF, Alakkoumi M, Kanj H, Ghedira M, Hutin E. EMD-Based Method for Supervised Classification of Parkinson’s Disease Patients Using Balance Control Data. Bioengineering 2022;9:283. [DOI: 10.3390/bioengineering9070283] [Reference Citation Analysis]
9 Schalkamp AK, Rahman N, Monzón-Sandoval J, Sandor C. Deep phenotyping for precision medicine in Parkinson's disease. Dis Model Mech 2022;15:dmm049376. [PMID: 35647913 DOI: 10.1242/dmm.049376] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Makarious MB, Leonard HL, Vitale D, Iwaki H, Sargent L, Dadu A, Violich I, Hutchins E, Saffo D, Bandres-Ciga S, Kim JJ, Song Y, Maleknia M, Bookman M, Nojopranoto W, Campbell RH, Hashemi SH, Botia JA, Carter JF, Craig DW, Van Keuren-Jensen K, Morris HR, Hardy JA, Blauwendraat C, Singleton AB, Faghri F, Nalls MA. Multi-modality machine learning predicting Parkinson's disease. NPJ Parkinsons Dis 2022;8:35. [PMID: 35365675 DOI: 10.1038/s41531-022-00288-w] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
11 Chintalapudi N, Battineni G, Hossain MA, Amenta F. Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease. Bioengineering 2022;9:116. [DOI: 10.3390/bioengineering9030116] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Giannakopoulou KM, Roussaki I, Demestichas K. Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review. Sensors (Basel) 2022;22:1799. [PMID: 35270944 DOI: 10.3390/s22051799] [Reference Citation Analysis]
13 Mládek A, Gerla V, Skalický P, Vlasák A, Zazay A, Lhotská L, Beneš V Sr, Beneš V Jr, Bradáč O. Prediction of Shunt Responsiveness in Suspected Patients With Normal Pressure Hydrocephalus Using the Lumbar Infusion Test: A Machine Learning Approach. Neurosurgery 2022. [PMID: 35080523 DOI: 10.1227/NEU.0000000000001838] [Reference Citation Analysis]
14 Harris EJ, Khoo IH, Demircan E. A Survey of Human Gait-Based Artificial Intelligence Applications. Front Robot AI 2021;8:749274. [PMID: 35047564 DOI: 10.3389/frobt.2021.749274] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Zhang J. Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease. NPJ Parkinsons Dis 2022;8:13. [PMID: 35064123 DOI: 10.1038/s41531-021-00266-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Paul S, Maindarkar M, Saxena S, Saba L, Turk M, Kalra M, Krishnan PR, Suri JS. Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson's Disease: A Narrative Review. Diagnostics (Basel) 2022;12:166. [PMID: 35054333 DOI: 10.3390/diagnostics12010166] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 10.0] [Reference Citation Analysis]
17 Brogi S, Calderone V. Artificial Intelligence in Translational Medicine. IJTM 2021;1:223-85. [DOI: 10.3390/ijtm1030016] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Hireš M, Gazda M, Drotár P, Pah ND, Motin MA, Kumar DK. Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput Biol Med 2021;:105021. [PMID: 34799077 DOI: 10.1016/j.compbiomed.2021.105021] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
19 Landers M, Saria S, Espay AJ. Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease? J Parkinsons Dis 2021;11:S117-22. [PMID: 34219671 DOI: 10.3233/JPD-212545] [Reference Citation Analysis]