Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls

H Zhang; KongFatt Wong-Lin; Q Ye; Magda Bucholc; H Yang; Xuemei Ding

Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls

H Zhang
, KongFatt Wong-Lin
, Q Ye
, Magda Bucholc
, H Yang
, Xuemei Ding

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Unknown host publication
Publication status	Published (in print/issue) - 19 Mar 2019
Event	Alzheimer's Research UK Conference - Harrogate, United Kingdom Duration: 19 Mar 2019 → 20 Mar 2019

Conference

Conference	Alzheimer's Research UK Conference
Country/Territory	United Kingdom
City	Harrogate
Period	19/03/19 → 20/03/19

Cite this

@inproceedings{15a215a9daf6420cbe92f4e1c64929d5,

title = "Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer{\textquoteright}s disease patients from healthy controls",

author = "H Zhang and KongFatt Wong-Lin and Q Ye and Magda Bucholc and H Yang and Xuemei Ding",

year = "2019",

month = mar,

day = "19",

language = "English",

booktitle = "Unknown host publication",

note = "Alzheimer's Research UK Conference ; Conference date: 19-03-2019 Through 20-03-2019",

}

TY - GEN

T1 - Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls

AU - Zhang, H

AU - Wong-Lin, KongFatt

AU - Ye, Q

AU - Bucholc, Magda

AU - Yang, H

AU - Ding, Xuemei

PY - 2019/3/19

Y1 - 2019/3/19

M3 - Conference contribution

BT - Unknown host publication

T2 - Alzheimer's Research UK Conference

Y2 - 19 March 2019 through 20 March 2019

ER -