Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numerical content. For example, the number of people diagnosed with a specific disease.
Yeroo hunda waa'ee dhukkuba tokkoo gorsa ogeessa fayyaa ykn ogeessa fayyaa ga'eessa ta'e biraa gaafadhu. Gorsa fayyaa ogeessaa hin tuffatin ykn waan weebsaayitii kana irratti dubbisteef isa barbaaduu hin daangeffatin. Yoo rakkoo fayyaa qabaachuu dandeessan yoo ta'e, hatattamaan 911 bilbilaa ykn gara kutaa ariifachiisaa dhihoo deemaa. Weebsaayitii kana ykn itti fayyadama isaatiin hariiroon ogeessa fayyaa fi dhukkubsataa hin uumamu. BioMedLib ykn hojjettoonni isaa, ykn namni weebsaayitii kana irratti gumaache kamiyyuu, odeeffannoo asitti kenname ykn itti fayyadama isaa ilaalchisee ibsa ykn yaada hin kennine hin kennine.
Ejjennoo: Mirga bu'uuraa
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DMCA'n beeksiinsi keessan waa'ee cabsaa seeraa kan himatamu odeeffannoo armaan gadii akka dabalatu gaafata: (1) ibsa hojii seeraa kan cabsaa seeraa kan himatamu ta'e; (2) ibsa qabiyyee cabsaa seeraa kan himatamu fi odeeffannoo qabiyyee isaa akka argannu nu dandeessisu ga'aa ta'e; (3) odeeffannoo wal qunnamtii keessan, kan akka teessoo keessan, lakkoofsa bilbilaa fi teessoo iimeelii keessan; (4) ibsi keessan qabiyyee akkaataa komatamanitti akka hin hayyamamne amantaa gaarii akka qabdan ibsa;
(5) beeksifannaa keessatti odeeffannoon sirrii akka ta'e fi mirgi abbaa qabeenyaa akka cabse kan himatamu akka ta'e labsii ati mallatteessite;
fi (6) mallattoo qaamaa ykn elektirooniksii abbaa seeraa ykn nama bakka bu'aa abbaa seeraa ta'uun akka hojjetu hayyamame.
Odeeffannoowwan armaan olitti tarreeffaman hunda kan hin dabalne yoo ta'e, dhimmi komii keessan akka hin mari'atamne gochuu danda'a.
Walitti dhufeenyi
Gaaffii / yaada kamirrayyuu qabdan nutti ergi.
What causes diabetes?
There are several factors that can cause diabetes, and the specific cause depends on the type of diabetes.
Here are the main causes of the three most common types of diabetes:
1. Type 1 diabetes: This type of diabetes is caused by an autoimmune reaction where the body's immune system mistakenly attacks and destroys the insulin-producing cells in the pancreas.
The exact cause of this autoimmune reaction is not fully understood, but it is believed to be a combination of genetic and environmental factors.
2. Type 2 diabetes: This type of diabetes is primarily caused by a combination of genetic and lifestyle factors.
Genetics can make a person more susceptible to developing type 2 diabetes, but lifestyle factors such as being overweight or obese, lack of physical activity, and unhealthy diet can also contribute to the development of the disease.
In type 2 diabetes, the body becomes resistant to the effects of insulin, and the pancreas may not produce enough insulin to overcome this resistance.
3. Gestational diabetes: This type of diabetes occurs during pregnancy and is caused by hormonal changes that can make the body less sensitive to insulin.
Women who are overweight, have a family history of diabetes, or are older than 25 are at a higher risk of developing gestational diabetes.
In summary, the causes of diabetes can be a combination of genetic, lifestyle, and hormonal factors, and the specific cause depends on the type of diabetes.
Disclaimer: medical
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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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Waa'ee
BioMedLib gaaffii fi deebii lama uumuuf kompiitaroota tooftaa (machine-learning algorithms) fayyadama.
