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Items: 1 to 20 of 117

1.

Detecting Parkinsons' symptoms in uncontrolled home environments: a multiple instance learning approach.

Das S, Amoedo B, De la Torre F, Hodgins J.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:3688-91. doi: 10.1109/EMBC.2012.6346767.

PMID:
23366728
2.

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.

Armañanzas R, Bielza C, Chaudhuri KR, Martinez-Martin P, Larrañaga P.

Artif Intell Med. 2013 Jul;58(3):195-202. doi: 10.1016/j.artmed.2013.04.002. Epub 2013 May 25.

PMID:
23711400
3.

Resolving signal complexities for ambulatory monitoring of motor function in Parkinson's disease.

Roy SH, Cole BT, Gilmore LD, De Luca CJ, Nawab SH.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4832-5. doi: 10.1109/IEMBS.2011.6091197.

PMID:
22255420
4.

High-resolution tracking of motor disorders in Parkinson's disease during unconstrained activity.

Roy SH, Cole BT, Gilmore LD, De Luca CJ, Thomas CA, Saint-Hilaire MM, Nawab SH.

Mov Disord. 2013 Jul;28(8):1080-7. doi: 10.1002/mds.25391. Epub 2013 Mar 20.

PMID:
23520058
5.

Dyskinesia and motor state detection in Parkinson's disease patients with a single movement sensor.

Samà A, Pérez-Lopez C, Romagosa J, Rodríguez-Martín D, Català A, Cabestany J, Pérez-Martínez DA, Rodríguez-Molinero A.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1194-7. doi: 10.1109/EMBC.2012.6346150.

PMID:
23366111
6.

Dynamical learning and tracking of tremor and dyskinesia from wearable sensors.

Cole BT, Roy SH, De Luca CJ, Nawab SH.

IEEE Trans Neural Syst Rehabil Eng. 2014 Sep;22(5):982-91. doi: 10.1109/TNSRE.2014.2310904. Epub 2014 Mar 19.

PMID:
24760943
7.

Resolving signal complexities for ambulatory monitoring of motor function in Parkinson's disease.

Roy SH, Cole BT, Gilmore LD, De Luca CJ, Nawab SH.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4836-9. doi: 10.1109/IEMBS.2011.6091198.

PMID:
22255421
8.

MILES: multiple-instance learning via embedded instance selection.

Chen Y, Bi J, Wang JZ.

IEEE Trans Pattern Anal Mach Intell. 2006 Dec;28(12):1931-47.

PMID:
17108368
9.

Dynamic SVM detection of tremor and dyskinesia during unscripted and unconstrained activities.

Cole BT, Ozdemir P, Nawab SH.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4927-30. doi: 10.1109/EMBC.2012.6347040.

PMID:
23367033
10.

A similarity-based classification framework for multiple-instance learning.

Xiao Y, Liu B, Hao Z, Cao L.

IEEE Trans Cybern. 2014 Apr;44(4):500-15. doi: 10.1109/TCYB.2013.2257749. Epub 2013 May 16.

PMID:
23757564
11.

Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors.

Hssayeni MD, Burack MA, Ghoraani B.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:6082-6085. doi: 10.1109/EMBC.2016.7592116.

PMID:
28269640
12.

Image annotation by multiple-instance learning with discriminative feature mapping and selection.

Hong R, Wang M, Gao Y, Tao D, Li X, Wu X.

IEEE Trans Cybern. 2014 May;44(5):669-80. doi: 10.1109/TCYB.2013.2265601. Epub 2013 Jun 18.

PMID:
23797314
13.

Early illness recognition using in-home monitoring sensors and multiple instance learning.

Popescu M, Mahnot A.

Methods Inf Med. 2012;51(4):359-67. doi: 10.3414/ME11-02-0042. Epub 2012 Jul 20.

PMID:
22814617
14.
15.

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.

Melendez J, van Ginneken B, Maduskar P, Philipsen RH, Ayles H, Sanchez CI.

IEEE Trans Med Imaging. 2016 Apr;35(4):1013-24. doi: 10.1109/TMI.2015.2505672. Epub 2015 Dec 4.

PMID:
26660889
16.

ECG analysis using multiple instance learning for myocardial infarction detection.

Sun L, Lu Y, Yang K, Li S.

IEEE Trans Biomed Eng. 2012 Dec;59(12):3348-56. doi: 10.1109/TBME.2012.2213597. Epub 2012 Aug 23.

PMID:
22929363
17.

Actigraphic evaluation of motor fluctuations in patients with Parkinson's disease.

Perez Lloret S, Rossi M, Cardinali DP, Merello M.

Int J Neurosci. 2010 Feb;120(2):137-43. doi: 10.3109/00207450903139663.

PMID:
20199206
18.

Preliminary results of ON/OFF detection using an integrated system for Parkinson's disease monitoring.

Pastorino M, Cancela J, Arredondo MT, Pastor-Sanz L, Contardi S, Valzania F.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:941-4. doi: 10.1109/EMBC.2013.6609657.

PMID:
24109844
19.

Parkinson's disease identification through optimum-path forest.

Spadoto AA, Guido RC, Papa JP, Falcao AX.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:6087-90. doi: 10.1109/IEMBS.2010.5627634.

PMID:
21097130
20.

MILIS: multiple instance learning with instance selection.

Fu Z, Robles-Kelly A, Zhou J.

IEEE Trans Pattern Anal Mach Intell. 2011 May;33(5):958-77. doi: 10.1109/TPAMI.2010.155.

PMID:
20733226

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