Kankere ea matsoele ke lefu le tebileng le ka bolaeang.
Ke kankere e atileng ka ho fetisisa har'a basali lefatšeng ka bophara'me ke sesosa sa bobeli se ka sehloohong sa lefu la kankere ho basali.
Ho latela Mokhatlo oa Kankere oa Amerika, ka 20220, ho hakanngoa hore ho fumanoe linyeoe tse ncha tse 276,480 tsa kankere ea matsoele e hlaselang ho basali ba United States,'me basali ba ka bang 42,170 ba US ba bolailoe ke kankere ea matsoele.
Leha ho le joalo, sekhahla sa lefu la kankere ea matsoele se ntse se fokotseha ho tloha ka 1989, ka ho fokotseha ha 40% ea sekhahla sa lefu la kankere ea matsoele ho tloha ka 1989 ho ea ho 2017, haholo-holo ka lebaka la ntlafatso ea ho lemoha le ho phekola kapele.
Kotsi ea ho bolaoa ke kankere ea matsoele e fapana ho latela lintho tse kang lilemo, boemo ba kankere ea matsoele le mofuta oa kankere.
Ho e lemoha kapele le ho e phekola ho ka ntlafatsa menyetla ea ho pholoha.
van Schoor G, Moss SM, Otten JD, Donders R, Paap E, den Heeten GJ, Holland R, Broeders MJ, Verbeek AL: Increasingly strong reduction in breast cancer mortality due to screening. Br J Cancer. 2011, 104 (6): 910-4.
DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL: Breast cancer statistics, 2019. CA Cancer J Clin. 2019, 69 (6): 438-451.
Icaza G, Núñez L, Bugueño H: [Epidemiological analysis of breast cancer mortality in women in Chile]. Rev Med Chil. 2017, 145 (1): 106-114.
Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, Kopans DB, Eby PR, Sickles EA: Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging. J Am Coll Radiol. 2017, 14 (9): 1137-1143.
Deaths from breast cancer--United States, 1991. MMWR Morb Mortal Wkly Rep. 1994, 43 (15): 273, 279-81.
Kuroishi T, Hirose K, Suzuki T, Tominaga S: Effectiveness of mass screening for breast cancer in Japan. Breast Cancer. 2000, 7 (1): 1-8.
['Tlhokomeliso: tsa bongaka']
["Websaete ena e etselitsoe ho ruta le ho fana ka boitsebiso feela'me ha e fane ka keletso ea bongaka kapa litšebeletso tsa litsebi."]
["Boitsebiso bo fanoeng ha boa lokela ho sebelisoa ho hlahloba kapa ho phekola bothata ba bophelo bo botle kapa lefu,'me ba batlang keletso ea bongaka ba lokela ho buisana le ngaka e nang le lengolo la tumello."]
['Ka kōpo hlokomela hore neural net e hlahisang likarabo lipotsong, ha e nepahale haholo-holo ha ho tluoa linomorong.']
["Kamehla batla keletso ea ngaka ea hao kapa mofani e mong ea tšoanelehang oa tlhokomelo ea bophelo mabapi le boemo ba bongaka. Le ka mohla u se ke ua hlokomoloha keletso ea setsebi sa bongaka kapa ua lieha ho e batla ka lebaka la ntho eo u e balileng websaeteng ena. Haeba u nahana hore u ka 'na ua ba le boemo ba tšohanyetso ba bongaka, letsetsa 911 kapa u ee kamoreng ea tšohanyetso e haufi hang-hang. Ha ho kamano ea ngaka le mokuli e bōptjoang ke websaeteng ena kapa tšebeliso ea eona. BioMedLib kapa basebetsi ba eona, kapa motho leha e le ofe ea tlatsetsang ho websaeteng ena, ha a etse litemoso, tse hlakileng kapa tse sa hlakang, mabapi le boitsebiso bo fanoeng mona kapa tšebeliso ea eona."]
['Tlhokomeliso: litokelo tsa bangoli']
['Molao oa Digital Millennium Copyright Act oa 1998, 17 U.S.C. § 512 (DMCA) o fana ka litokelo tsa beng ba litokelo tsa bangoli ba lumelang hore thepa e hlahang Inthaneteng e hatakela litokelo tsa bona tlasa molao oa litokelo tsa bangoli ba U.S. ']
['Haeba u lumela ka tumelo e ntle hore litaba leha e le life kapa thepa e fumanehang mabapi le websaeteng kapa litšebeletso tsa rona e tlōla litokelo tsa hau tsa molao, uena (kapa moemeli oa hau) a ka re romella tsebiso e kōpang hore litaba kapa thepa e tlosoe, kapa ho fihlella ho eona ho thibeloe. ']
['Ditsebiso di tlameha ho romelwa ka lengolo ka imeile (bona karolo ya "Ho iteanya" bakeng sa aterese ya imeile). ']
["DMCA e hloka hore tsebiso ea hao ea ho tlōla ha molao ho boleloang hore e na le boitsebiso bo latelang: (1) tlhaloso ea mosebetsi o sirelelitsoeng ka molao o boleloang hore o tlōloa; (2) tlhaloso ea litaba tse boleloang hore li tlōla molao le boitsebiso bo lekaneng ho re lumella ho fumana litaba; (3) boitsebiso ba ho ikopanya le uena, ho akarelletsa aterese ea hau, nomoro ea fono le aterese ea imeile; (4) polelo ea hau ea hore u na le tumelo e ntle ea hore litaba ka tsela e belaelloang ha e lumelloe ke mong'a litokelo tsa molao, kapa moemeli oa eona, kapa ka ts'ebetso ea molao leha e le ofe; "]
['(5) polelo e saennweng ke wena, tlasa kotlo ya ho hlapanya leshano, ya hore tlhahisoleseding e tsebisong e nepahetse le hore o na le matla a ho tiisa ditokelo tsa mongodi tseo ho thweng di a tlolwa; ']
["le (6) ho saena ka letsoho kapa ka elektronike ha mong'a litokelo tsa bangoli kapa motho ea lumeletsoeng ho nka khato lebitsong la mong'a litokelo tsa bangoli. "]
['Ho hloleha ho kenyelletsa tlhahisoleseding yohle e ka hodimo ho ka baka ho dieha ha ho sebetswa tletlebo ya hao.']
['Ho Iteanya']
['Ka kōpo re romelle imeile ka potso / tlhahiso leha e le efe.']
How deadly is breast cancer?
Breast cancer is a serious and potentially deadly disease.
It is the most common cancer among women worldwide and the second leading cause of cancer death in women.
According to the American Cancer Society, in 20220, an estimated 276,480 new cases of invasive breast cancer were diagnosed in women in the United States, and about 42,170 women in the U.S. died from breast cancer.
However, the death rate from breast cancer has been declining since 1989, with a 40% decrease in the breast cancer death rate from 1989 to 2017, largely due to improvements in early detection and treatment.
The risk of dying from breast cancer varies depending on factors such as age, stage at diagnosis, and the type of breast cancer.
Early detection and treatment can significantly improve the chances of survival.
Disclaimer: medical
This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.
The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.
Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
Always seek the advice of your doctor or other qualified health provider regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website. If you think you may have a medical emergency, call 911 or go to the nearest emergency room immediately. No physician-patient relationship is created by this web site or its use. Neither BioMedLib nor its employees, nor any contributor to this web site, makes any representations, express or implied, with respect to the information provided herein or to its use.
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['Hoo e ka bang']
["BioMedLib e sebelisa lik'homphieutha tse iketsang (machine-learning algorithms) ho hlahisa lipotso le likarabo."]
['Re qala ka lingoliloeng tse limilione tse 35 tsa biomedical tsa PubMed/Medline. Hape, maqephe a websaete a RefinedWeb.']
